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2. Annual Proceedings of Selected Research and Development Papers Presented at the Annual Convention of the Association for Educational Communications and Technology (40th, Jacksonville, Florida, 2017). Volume 1
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Association for Educational Communications and Technology, Simonson, Michael, and Seepersaud, Deborah
- Abstract
For the fortieth time, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Jacksonville, Florida. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 19 papers dealing primarily with research and development topics. Fourteen papers dealing with the practice of instructional technology including instruction and training issues are contained in Volume 2. Volume 1 contains the following 19 papers: (1) Gamification for Change: A New Approach to Investigate Students' Attitudes toward Educational Gamification in Online Learning Environments (Sumayah Abu-Dawood); (2) Facilitating Higher Levels of Thinking and Deeper Cognitive Processing of Course Text Using Reciprocal Teaching Strategies in Asynchronous Discussion Forums (Jenifer R. Marquis and Ginger S. Watson); (3) Online Learning Design and Implementation Models: A Model Validation Study Using Expert Instructional Designers (Ann Armstrong and Albert Gale); (4) Tracking the Design and Development of a Six Module miniMOOC for Quality Graduate Supervision (Hawazen Alharbi and Michele Jacobsen); (5) Diversity Training in Organization Settings: Effective and Ethical Approaches for Change Leaders (Ashley McArthur and Nancy B. Hastings); (6) Hey, Want to Play? "Kahooting" to Win the Learning Game (Papia Bawa); (7) An Examination of Prior Knowledge and Cueing Effects in an Animation (Ismahan Arslan-Ari); (8) Teacher Perceptions of the Adaptation of the New Computer Science (CS) Curriculum: An Evaluation of CS Curriculum Implementation (Suhkyung Shin, Jongpil Cheon, and Sungwon Shin); (9) Multimedia Video Resolution, Camera Angle, and the Impact on Instructor Credibility and Immediacy (Miguel Ramlatchan and Ginger S. Watson); (10) The Effects of Visible-Annotation Tool on the Learning Process and Learning Outcome in CSCL (Yoonhee Shin, Jaewon Jung, and Dongsik Kim); (11) Pre-Service ICT Teachers' Recommendations for School Internet Safety (Sanser Bulu, Melike Kavuk-Kalender, and Hafize Keser); (12) Turkish Schools' Readiness for Preventing Cyberbullying (Melike Kavuk-Kalender, Hafize Keser, and Sanser Bulu); (13) Examining Technology Integration Decision-Making Processes and Identifying Professional Development Needs of International Teachers (Medha Dalal, Leanna Archambault, and Catharyn Shelton); (14) Integrating Learning Analytics into Workforce Education to Develop Self-Assessment Competency (Lin Zhong); (15) Ensuring Academic Integrity in Online Courses: A Case Analysis in Three Testing Environments (Berhane Teclehaimanot, Sue Ann Hochberg, Diana Franz, Mingli Xiao, and Jiyu You); (16) Changing Student Performance and Perceptions through Productive Failure: Active Learning for Applied Chemistry in Pharmaceutics (Dan Cernusca and Sanku Mallik); (17) The Construction of Sentiment Lexicon in Educational Field Based on Word2vec (Xiang Feng and Longhui Qiu); (18) Blended Instruction by Using Simulation Method Teaching to Enhance Digital Literacy for Student Teachers in Thailand (Sumalee Chuachai); and (19) Social Network Use Preferences of Pre-Service ICT Teachers (Omer Faruk Islim and Nese Sevim Cirak). (Individual papers contain references.) [For Volume 2, see ED580817.]
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- 2017
3. The State of the Field of Computational Thinking in Early Childhood Education. OECD Education Working Papers. No. 274
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Organisation for Economic Cooperation and Development (OECD) (France), Bers, Marina Umaschi, Strawhacker, Amanda, and Sullivan, Amanda
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Computer programming and associated Computational Thinking (CT) skills are essential to thriving in today's academic and professional world. There has been a growing focus globally on fostering CT skills as well as on introducing computer programming concepts and languages beginning as early as kindergarten and pre-primary school. Tools, curriculum, and frameworks to promote CT in the early years must be designed and implemented in ways that engage children who cannot yet read and write, who learn through play, and who have a short attention span and limited working memory but also strong natural curiosity. This review summarises empirical and theoretical literature on the state of the field of CT as it relates to early learning and development, a time when young children are being introduced to foundational skills, such as literacy and numeracy, which can carefully be complemented by an exploration of CT.
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- 2022
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4. Case Study: Creation of a Degree Program in Computer Security. White Paper.
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Belon, Barbara and Wright, Marie
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This paper reports on research into the field of computer security, and undergraduate degrees offered in that field. Research described in the paper reveals only one computer security program at the associate's degree level in the entire country. That program, at Texas State Technical College in Waco, is a 71-credit-hour program leading to an Associate of Applied Science in Network Technology degree and focuses heavily on computer networks and operating systems, containing courses that prepare individuals for careers on corporate security teams. The majority of computer security and information security training is offered in master's and doctoral-level programs. The paper proposes Norwalk Community College (NCC) in Norwalk, Connecticut, develop a new degree program at NCC. It also details the process of developing the degree program, starting with advisory committee members' development of a knowledge and skills list for entry-level computer security professionals, identification of the components that could be taught in a formal program of study, and the packaging of knowledge and skills components into logical course delivery units. The paper argues for development of similar programs at other community colleges. (NB)
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- 2002
5. Seeking Solution: High-Performance Computing for Science. Background Paper.
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Congress of the U.S., Washington, DC. Office of Technology Assessment.
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This is the second publication from the Office of Technology Assessment's assessment on information technology and research, which was requested by the House Committee on Science and Technology and the Senate Committee on Commerce, Science, and Transportation. The first background paper, "High Performance Computing & Networking for Science," published in 1989, framed the outstanding issues; this background paper focuses on the federal role in supporting a national high-performance computing initiative. Chapter 1, "High-Performance Computing and Information Infrastructure for Science and Engineering," discusses the goals of the initiative, the government's role, the structure of federal policy, major strategic concerns, and long-range planning needs. Chapter 2, "Policy Considerations for High-Performance Computing," describes the difficulties and barriers to advancing computer technology, providing access to resources, and expanding and improving usage. The purposes of these centers are also discussed in this section. Chapter 3, "High-Performance Computers: Technology and Challenges," discusses the research and development process and the evolution of computer technology. Brief descriptions of national and other high-performance computer facilities are appended. (KR)
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- 1991
6. Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Educational Technologies (5th, Sydney, Australia, December 11-13, 2017)
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International Association for Development of the Information Society (IADIS), Kommers, Piet, Issa, Tomayess, Isaias, Pedro, and Hol, Ana
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These proceedings contain the papers and posters of the 5th International Conference on Educational Technologies 2017 (ICEduTech 2017), which has been organised by the International Association for Development of the Information Society and co-organised by the Western Sydney University, held in Sydney, Australia, 11-13 December 2017. ICEduTech is the scientific conference addressing the real topics as seen by teachers, students, parents and school leaders. Scientists, professionals and institutional leaders are invited to be informed by experts, sharpen the understanding what education needs and how to achieve it. Full papers presented in these proceedings include: (1) Bibliometric Science Mapping as a Popular Trend: Chosen Examples of Visualisation of International Research Network Results (Eugenia Smyrnova-Trybulska, Nataliia Morze, Olena Kuzminska and Piet Kommers); (2) Optimize Knowledge Sharing, Team Effectiveness, and Individual Learning within the Flipped Team-Based Classroom (Chung-Kai Huang, Chun-Yu Lin, Zih-Cin Lin, Cui Wang and Chia-Jung Lin); (3) Design and Development of an Interactive Multimedia Simulation for Augmenting the Teaching and Learning of Programming Concepts (Leonah L. Baloyi, Sunday O. Ojo and Etienne A. Van Wyk); (4) Introducing Tablets in a Portuguese School: A Micool Project Case Study Analysis (Miriam Judge); (5) College Communicative Teaching and e-Learning: A Training Scheme (Charito G. Ong; (6) Tested Strategies for Recruiting and Retention of STEM Majors (Sadegh Davari, Sharon Perkins-Hall and Krishani Abeysekera); (7) Redesigning Learning Spaces: What do Teachers Want for Future Classrooms? (Neuza Pedro); (8) Peer Instructions and Use of Technological Tools. An Innovative Methodology for the Development of Meaningful Learning (Oriel A. Herrera and Patricia Mejías); (9) It Doesn't Matter What is in Their Hands: Understanding How Students Use Technology to Support, Enhance and Expand Their Learning in a Complex World (Peter Bryant); (10) A Comparative Study on Social Media Addiction of High School and University Students (Ali Simsek, Kemal Elciyar and Taner Kizilhan); (11) Computer Literacy Teaching Using Peer Learning and under the Confucian Heritage Cultural Settings of Macao, China (Kelvin Wong, Ana Neves and Joao Negreiros); (12) Applying Sensors to Investigate Gender Differences in Beginning Tennis Players (Chih-Hung Yu, Jye-Shyan Wang and Cheng-Chih Wu); (13) Using Arduino to Teach Programming to First-Year Computer Science Students (Wee Lum Tan, Sven Venema and Ruben Gonzalez); (14) Dimensions of Self-Perceived Employability in First Year IT Students (Amy Antonio and David Tuffley); (15) Challenges for a New Generation of STEM Students (Krishani Abeysekera, Sharon Perkins-Hall, Sadegh Davari and Amanda Smith Hackler); (16) Developing a Gesture-Based Game for Mentally Disabled People to Teach Basic Life Skills (Mohammad Javad Nazirzadeh, Kürsat Cagiltay and Necdet Karasu); (17) Learning Group Formation for Massive Open Online Courses (MOOCs) (Sankalp Prabhakar and Osmar R. Zaiane) and (18) ICE: An Automated Tool for Teaching Advanced C Programming (Ruben Gonzalez). Short papers presented include: (1) MOOC as a Laboratory of Culture Shock: Helping Non-U.S. Students Integrate into All-American Virtual Environment (Valeri Chukhlomin and Anant Deshpande); (2) The Use of Mobile Devices Outside of the Classroom for Self-Directed Learning among Female EFL Students in Saudi Arabia (Fatimah Albedah and Chwee Beng Lee); (3) Communication Scaffolds for Project Management in PBL (Shigeru Sasaki, Masayuki Arai, Kumiko Takai, Mitsuhiro Ogawa and Hiroyoshi Watanabe); (4) Digital Pedagogies for Teachers' CPD (Matthew Montebello); (5) Sensing Locally in the Global Environment: Using Sensors in Teachers' Education (Maria João Silva, António Almeida, Bianor Valente, Margarida Rodrigues and Vítor Manteigas); (6) The Use of a Digital Badge as an Indicator and a Motivator (Jun Iwata, John Telloyan, Lynne Murphy, Shudong Wang and John Clayton; (7) Exploring the Education Potential of Minecraft: The Case of 118 Elementary-School Students (Thierry Karsenti and Julien Bugmann); (8) Digital Story Creation: Its Impact towards Academic Performance (Charito G. Ong); and (9) Collaborative Peer Feedback (David A. Smith). Posters include: (1) A System for Class Reflection Using iPads for Real-Time Bookmarking of Feedbacks into Simultaneously Recorded Videos (Taira Nakajima); (2) Roles, Strategies, and Impact of MOOCs on Flipping Business Education (Chung-Kai Huang, Chun-Yu Lin, Zih-Cin Lin and Cui Wang); and (3) Gamifying Outdoor Social Inquiry Learning with Context-Aware Technology (Morris Siu-Yung Jong, Tom Chan, Vincent Tam and Ming-Tak Hue). Individual papers include references, and an Author Index is included.
- Published
- 2017
7. Reference publication year spectroscopy (RPYS) of computer science papers from Eastern Europe
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Fiala, Dalibor and Bornmann, Lutz
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- 2020
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8. Paper-and-Pencil Programming Strategy toward Computational Thinking for Non-Majors: Design Your Solution
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Kim, Byeongsu, Kim, Taehun, and Kim, Jonghoon
- Abstract
The paper-and-pencil programming strategy (PPS) is a way of representing an idea logically by any representation that can be created using paper and pencil. It was developed for non-computer majors to improve their understanding and use of computational thinking and increase interest in learning computer science. A total of 110 non-majors in their sophomore year were assigned to either a Logo or a PPS course with attendance being 2 hours per week for 15 weeks. To measure the effectiveness of PPS, the Group Assessment of Logical Thinking and a self-assessment survey pre- and post-test were used. Findings indicated that PPS not only improved students' overall logical thinking as much as did Logo programming learning, but also increased scores on one more subscale of logical thinking than did the Logo course. In addition, PPS significantly helped students understand the concept of computational thinking and increased their interest in learning computer science.
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- 2013
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9. An analysis of retracted papers in Computer Science.
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Shepperd, Martin and Yousefi, Leila
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COMPUTER science ,DATABASES ,RETRACTORS (Surgery) ,SECONDARY analysis ,SCIENTIFIC community - Abstract
Context: The retraction of research papers, for whatever reason, is a growing phenomenon. However, although retracted paper information is publicly available via publishers, it is somewhat distributed and inconsistent. Objective: The aim is to assess: (i) the extent and nature of retracted research in Computer Science (CS) (ii) the post-retraction citation behaviour of retracted works and (iii) the potential impact upon systematic reviews and mapping studies. Method: We analyse the Retraction Watch database and take citation information from the Web of Science and Google scholar. Results: We find that of the 33,955 entries in the Retraction watch database (16 May 2022), 2,816 are classified as CS, i.e., ≈ 8%. For CS, 56% of retracted papers provide little or no information as to the reasons. This contrasts with 26% for other disciplines. There is also some disparity between different publishers, a tendency for multiple versions of a retracted paper to be available beyond the Version of Record (VoR), and for new citations long after a paper is officially retracted (median = 3; maximum = 18). Systematic reviews are also impacted with ≈ 30% of the retracted papers having one or more citations from a review. Conclusions: Unfortunately, retraction seems to be a sufficiently common outcome for a scientific paper that we as a research community need to take it more seriously, e.g., standardising procedures and taxonomies across publishers and the provision of appropriate research tools. Finally, we recommend particular caution when undertaking secondary analyses and meta-analyses which are at risk of becoming contaminated by these problem primary studies. [ABSTRACT FROM AUTHOR]
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- 2023
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10. Reflective Practices among Secondary School Computer Science Teachers: Their Point of View
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Lubna Mohammed Alshamrani
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Reflective practice is an essential catalyst through which the benefits of teaching and learning can be reaped. Through it, weaknesses and strengths can be identified in a way that helps raise the level of addressing challenges that may arise as well as overcome them. This paper presents the critical reflective practices among computer science secondary school teachers from their point of view in Riyadh, Saudi Arabia. To this extent, the study aims to determine the degree of critical reflective practices among computer science secondary school teachers in Riyadh from their perspective. The paper also seeks to investigate the effects of variables such as gender, qualifications and experience on the perceptions of the aforementioned teachers, towards the critical reflective practices among computer science secondary school teachers. The study tool is a questionnaire which consisted of two dimensions and was distributed to a population of 739 participants. From this, the study sample comprised (223) computer science teachers working in secondary school in Riyadh. The findings revealed that there is no significant difference in the estimation degree concerning the critical reflective practices due to the gender. From the results, it was also established that there is no significant difference in the degree of estimation in relation to the critical reflective practices due to educational qualification variables. On the contrary however, there is a significant difference in the degree of estimation in regard to the critical reflective practices due to the years of experience variable. These differences were evident in a group of those with more than 10 years of experience. The other findings produced by the study highlight that the participants are in agreement about the importance of critical reflective practices. The degree of reflective practice, which is from the participants' point of view, is considered to be of a high value. The majority of the subjects opted to agree with the practice of reflection after a training session. It was determined from the results that some of the most common strategies favored by practitioners involved the communal practice of mind reflection with individuals from outside the school.
- Published
- 2024
11. Outlining Purposes, Stating the Nature of the Present Research, and Listing Research Questions or Hypotheses in Academic Papers
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Shehzad, Wasima
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Driving research questions from the prevailing issues and interests and developing from them new theories, formulas, algorithms, methods, and designs, and linking them to the interests of the larger audience is a vital component of scientific research papers. The present article discusses outlining purposes or stating the nature of the present research, and listing research questions or hypotheses in the introduction of academic papers. This corpus-based genre study focuses particularly on Move 3 of the model "occupying the niche." The results indicating disciplinary variation show that the writers of Computer Science (CS) research articles, over the years have developed an increased use of outlining purpose/stating the nature of the present research, having the characteristics of purposive, descriptive, extension of the previous work, contrast to the existing work, brevity, complexity, and a description of methodology. It also shows that listing research questions or hypothesis may have distinctively different functions in developing genres as compared to the established ones such as physics.
- Published
- 2011
12. Gendered Career Expectations of Students: Perspectives from PISA 2006. OECD Education Working Papers, No. 57
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Organisation for Economic Cooperation and Development, Sikora, Joanna, and Pokropek, Artur
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This paper provides a comprehensive overview of adolescent career plans reported in PISA 2006. Its main focus is on the differences in the status and area of employment expected by girls and boys in high school. In almost all countries, girls lead boys in their interest in non-manual, high status professional occupations. This can be seen as a vertical dimension of gender segregation in occupational preferences. Students also differ by gender in selecting particular fields of employment within status categories. These differences make up the horizontal segregation of students' expectations and, in PISA 2006, are prominent in the gendered choices of specific subfields of science. Both the vertical and the horizontal dimensions must be considered to appreciate the cultural and institutional factors which promote and reinforce systematic divides in career choices of adolescent boys and girls. Appended are: (1) Additional descriptive tables; (2) Occupational titles comprising science, engineering/computing and health employment; (3) Plans to enter socio-cultural professions; (4) Missing data; and (5) Additional information on methods. (Contains 8 figures, 18 tables and 2 footnotes.)
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- 2011
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13. Could AI help you to write your next paper?
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Hutson, Matthew
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- 2022
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14. Differences between journal and conference in computer science: a bibliometric view based on Bayesian network.
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Sun, Mingyue, Yue, Mingliang, and Ma, Tingcan
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BAYESIAN analysis ,COMPUTER science conferences ,COMPUTER science ,CONFERENCE papers ,ACADEMIC conferences ,BIBLIOMETRICS - Abstract
This paper aims to investigate the differences between conference papers and journal papers in the field of computer science based on Bayesian network. This paper investigated the differences between conference papers and journal papers in the field of computer science based on Bayesian network, a knowledge-representative framework that can model relationships among all variables in the network. We defined the variables required for Bayesian networks modeling, calculated the values of each variable based Aminer dataset (a literature data set in the field of computer science), learned the Bayesian network and derived some findings based on network inference. The study found that conferences are more attractive to senior scholars, the academic impact of conference papers is slightly higher than journal papers, and it is uncertain whether conference papers are more innovative than journal papers. The study was limited to the field of computer science and employed Aminer dataset as the sample. Further studies involving more diverse datasets and different fields could provide a more complete picture of the matter. By demonstrating that Bayesian networks can effectively analyze issues in Scientometrics, the study offers valuable insights that may enhance researchers' understanding of the differences between journal and conference in computer science. Academic conferences play a crucial role in facilitating scholarly exchange and knowledge dissemination within the field of computer science. Several studies have been conducted to examine the distinctions between conference papers and journal papers in terms of various factors, such as authors, citations, h-index and others. Those studies were carried out from different (independent) perspectives, lacking a systematic examination of the connections and interactions between multiple perspectives. This paper supplements this deficiency based on Bayesian network modeling. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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15. ICTs and Gender. OECD Digital Economy Papers, No. 129
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Organisation for Economic Cooperation and Development, van Welsum, Desiree, and Montagnier, Pierre
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This document provides an overview of the gender distribution of ICT and ICT-related employment in OECD countries, and ICT employment patterns are contrasted with overall employment to highlight differences. The authors discuss participation in ICT-related education and training, and differences in ICT access and use by gender. Overall, participation rates of women in employment tend to be significantly lower than those for men, although their labour market participation is increasing in most countries. In general, there is a lower share of women in managerial positions, but a higher share than men in many professional occupations, especially in health care and education. In contrast to these general patterns, the gender distribution of ICT employment is an outlier in terms of both women's participation and shifts in the share of women in ICT-related employment. Women have low shares of ICT-specialist employment and these shares rarely show an increase. Among ICT-using occupations women tend to have higher shares of office and secretarial occupations and lower shares in scientific and professional ones. Women have increased their share in higher education, across most areas of education, particularly in the arts, education and health-related education. However the share of women remains low in engineering and even lower in computer science. Although informal assistance from colleagues and learning-by-doing are important ways of acquiring computer skills for all, for women more formal types of training courses may be relatively more important than for men in some countries. ICT access by women tends to lag that of men: although gaps are generally declining, they remain large in older age groups, and in areas of newer technologies. There are also differences in from where men and women access the Internet. Men are more likely to access from both home and work in many countries; women are more likely to access from educational establishments. Women are more likely to engage in shopping and health-related activities; men are more likely to play games and visit sports pages. These differences are present for all age groups. This analysis suggests that for both equity and efficiency reasons gender differences in ICT occupations, education, access and use need to be addressed, that further, more detailed, analytical work on the evolution of ICT occupations, education and use should be undertaken and that the effects of policy on women and ICTs should be analysed in detail. (A bibliography is included. Contains 9 footnotes, 36 figures and 3 tables.)
- Published
- 2007
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16. Score Prediction from Programming Exercise System Logs Using Machine Learning
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Tanaka, Tetsuo and Ueda, Mari
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In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records their results. For educators, the system offers insights into each student's progress, the evolution of their source code, and the instances of errors. While teachers find these functions beneficial, the method of providing feedback to students needs improvement. Immediate feedback is proven to be more effective for student learning. If the final course score could be predicted based on early data (e.g., from the 1st or 2nd week), students could adapt their study strategies accordingly. This paper demonstrates that one can predict the final score using the system's operational logs from the initial phases of the course. Furthermore, the score predictions can be revised weekly based on new class logs. We also explore the potential of offering tailored advice to students to enhance their final score. [For the full proceedings, see ED636095.]
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- 2023
17. Are Papers Asking Questions Cited More Frequently in Computer Science?
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Dalibor Fiala, Pavel Král, and Martin Dostal
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computer science ,papers ,citations ,questions ,Web of Science ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost two million records on computer science papers indexed in the Web of Science database and focus our investigation on the mean number of citations per paper of its specific subsets. The main finding is that the average number of citations per paper of the so-called “asking papers” is greater by almost 20% than that of other papers, and that this difference is statistically significant.
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- 2021
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18. Evaluation of Question papers by Board of Intermediate and Secondary Education using Item Analysis and Blooms Taxonomy.
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Mahroof, Ameema and Saeed, Muhammad
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CARDBOARD ,SECONDARY education ,BLOOM'S taxonomy ,READING comprehension ,COMPUTER science education - Abstract
This small scale study aims to analyze the question papers of Board of Intermediate and Secondary Education in the subject of computer science with reference to item analysis and Bloom's taxonomy. Data were collected from 100 students of Grade 9
th and 10th from the schools of Lahore city using convenient sampling technique. Data collected on the papers developed by Board of Intermediate and Secondary Education for the year of 2015 and 2016. Item analyses were performed using Conquest software. Findings of the study shows that in the question papers conducted by Board of Intermediate and Secondary Education the majority questions were measuring the student abilities of knowledge and comprehension and only few questions were given to measure the student abilities to analyze, synthesize and evaluate, and this can be very helpful for the policy makers. Result of item analysis shows that many questions were not in the acceptable range of item difficulty and item discrimination. Items in the question papers were either too easy or too difficult. Findings revealed that the papers conducted and administered by Board of Intermediate and Secondary Education were not up to the mark, with reference to Bloom's taxonomy. The researcher recommended to train the assessment committee/panel developing the items. [ABSTRACT FROM AUTHOR]- Published
- 2021
19. Selected Papers from the National Conference on College Teaching and Learning (6th, Jacksonville, Florida, April 5-8, 1995).
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Florida Community Coll., Jacksonville. Center for the Advancement of Teaching and Learning and Chambers, Jack A.
- Abstract
This collection of 18 papers covers four broad areas of teaching and learning in higher education: innovative college teaching/learning strategies; effective classroom research/assessment activities; advanced classroom technology; and developing teaching and learning centers. Titles include: (1) "African American Students' Perceptions of Cooperative Learning Experiences" (Lillie Anderton-Lewis and Danny H. Pogue); (2) "Learning to Learn Is a Teachable Skill" (Joan B. Baker, et al.); (3) "The Florida Higher Education Consortium: A Mathematics, Science, Technology Collaboration" (Marianne Barnes, et al.); (4) "Directions in the Core Curriculum for Computer Science Majors" (Edward J. Conjura); (5) "Teacher Immediacy and Distance Learning: The Multicultural Dimension" (James M. Cunningham and Mary McLemore); (6) "Liberal Education in Technology Courses" (Diane Delisio and Cathy Bishop-Clark); (7) "Learning and Motivation Theory Applied to Instruction" (Paul Eggen); (8) "Bringing the New Technologies to Distance Learning: A British Perspective" (Joel Greenberg); (9) "A Model Program: Discipline-Specific Instruction for Graduate Teaching Assistants" (Penny L. Hammrich and Kerri Armstrong); (10) "Is Technology a Substitute for Preparation in Calculus I?" (Robert Jerrard, et al.); (11) "Science Teacher Preparation: Whose Knowledge Is It?" (Judith Johnson); (12) "Learning to Teach on Television: Implications for Beginners" (Norma MacRae and Darcey Cuffman); (13) "Integrating Science and the Humanities: Redefining the Preparation of Elementary Teachers" (Patricia A. Nelson); (14) "Will Success Spoil Distance Education?" (Leslie Purdy); (15) "Collaborative Planning to Improve Higher Education: System-Wide and Campus Initiatives" (Paul Spear); (16) "Generating a Positive Student Experience in Distance Learning Education" (Costas S. Spirou); (17) "Conceiving the Commons: An Interdisciplinary Approach to Environmental Literacy" (Linda Wallace, et al.); (18) "Active Learning Through Live Television: Reflections on Practice" (Michael F. Welsh). (All papers contain references.) (CH)
- Published
- 1995
20. Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network.
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Wang, Zhongyi, Zhang, Haoxuan, Chen, Haihua, Feng, Yunhe, and Ding, Junhua
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MACHINE learning ,SCIENCE education ,COMPUTER science ,PEER pressure ,RANDOM forest algorithms - Abstract
Pre-evaluating scientific paper quality aids in alleviating peer review pressure and fostering scientific advancement. Although prior studies have identified numerous quality-related features, their effectiveness and representativeness of paper content remain to be comprehensively investigated. Addressing this issue, we propose a content-based interpretable method for pre-evaluating the quality of scientific papers. Firstly, we define quality attributes of computer science (CS) papers as integrity , clarity , novelty , and significance , based on peer review criteria from 11 top-tier CS conferences. We formulate the problem as two classification tasks: Accepted/Disputed/Rejected (ADR) and Accepted/Rejected (AR). Subsequently, we construct fine-grained features from metadata and knowledge entity networks, including text structure, readability, references, citations, semantic novelty, and network structure. We empirically evaluate our method using the ICLR paper dataset, achieving optimal performance with the Random Forest model, yielding F1 scores of 0.715 and 0.762 for the two tasks, respectively. Through feature analysis and case studies employing SHAP interpretable methods, we demonstrate that the proposed features enhance the performance of machine learning models in scientific paper quality evaluation, offering interpretable evidence for model decisions. • Define four criteria for quality evaluation of scientific papers: integrity, clarity, novelty, and significance. • Propose a framework for quality evaluation of scientific papers based on coarse features and knowledge entity network. • An effective algorithm for measuring the novelty and significance of scientific papers based on knowledge entity networks. • Create and release a rigorous dataset, which could serve as the gold standard for quality evaluation of scientific papers. • Conduct extensive experiments to validate the effectiveness of the proposed framework. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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21. Comparative performance of India with other BRICS countries in publishing science and engineering research papers
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Hasan, S. A. and Luthra, Rajesh
- Published
- 2014
22. Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011)
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International Educational Data Mining Society, Pechenizkiy, Mykola, Calders, Toon, Conati, Cristina, Ventura, Sebastian, Romero, Cristobal, and Stamper, John
- Abstract
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions (Pittsburgh 2010, Cordoba 2009 and Montreal 2008), and a series of workshops within the AAAI, AIED, EC-TEL, ICALT, ITS, and UM conferences. The increase of e-learning resources such as interactive learning environments, learning management systems, intelligent tutoring systems, and hypermedia systems, as well as the establishment of state databases of student test scores, has created large repositories of data that can be explored to understand how students learn. The EDM conference focuses on data mining techniques for using these data to address important educational questions. The broad collection of research disciplines ensures cross fertilization of ideas, with the central questions of educational research serving as a unifying focus. This publication presents the following papers: (1) Social Information Discovery (Barry Smyth); (2) On exploration and mining of data in educational practice (Erik-Jan van der Linden, Martijn Wijffelaars, Thomas Lammers); (3) EDM and the 4th Paradigm of Scientific Discovery--Reflections on the 2010 KDD Cup Competition (John Stamper); (4) Factorization Models for Forecasting Student Performance (Nguyen Thai-Nghe, Tomas Horvath and Lars Schmidt-Thieme); (5) Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques (Reihaneh Rabbany Khorasgani, Mansoureh Takaffoli and Osmar Zaiane); (6) A Machine Learning Approach for Automatic Student Model Discovery (Nan Li, Noboru Matsuda, William W. Cohen and Kenneth R. Koedinger); (7) Conditions for effectively deriving a Q-Matrix from data with Non-negative Matrix Factorization (Michel C. Desmarais); (8) Student Translations of Natural Language into Logic: The Grade Grinder Translation Corpus Release 1.0 (Dave Barker-Plummer, Richard Cox and Robert Dale); (9) Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions (Min Chi, Kenneth Koedinger, Geoff Gordon, Pamela Jordan and Kurt Vanlehn); (10) The Simple Location Heuristic is Better at Predicting Students Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic (A.F. Nwaigwe and K.R. Koedinger); (11) Items, skills, and transfer models: which really matters for student modeling? (Y. Gong and J.E. Beck); (12) Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing (K.R. Koedinger, P.I. Pavlik Jr., J. Stamper, T. Nixon and S. Ritter); (13) Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data (Bahador Nooraei, Zachary Pardos, Neil T. Heffernan and Ryan S.J.D. Baker); (14) Analysing frequent sequential patterns of collaborative learning activity around an interactive tabletop (R. Martinez Maldonado, K. Yacef, Judy Kay, A. Kharrufa and A. Al-Qaraghuli); (15) Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment (K. Wauters, P. Desmet and W. Van Den Noortgate); (16) Spectral Clustering in Educational Data Mining (Shubhendu Trivedi, Zachary A. Pardos, Gabor Sarkozy and Neil T. Heffernan); (17) Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing (Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary Pardos and Neil Heffernan); (18) Learning classifiers from a relational database of tutor logs (Jack Mostow, Jose Gonzalez-Brenes and Bao Hong Tan); (19) A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces (S. Kardan and C. Conati); (20) How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences (Jose Gonzalez-Brenes, Jack Mostow and Weisi Duan); (21) Automatically Detecting a Students Preparation for Future Learning: Help Use is Key (Ryan S.J.D. Baker, Sujith M. Gowda and Albert T. Corbett); (22) Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System (Zachary A. Pardos, Sujith M. Gowda, Ryan S.J.D. Baker and Neil T. Heffernan); (23) Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty (Sujith M. Gowda, Jonathan P. Rowe, Ryan S.J.D. Baker, Min Chi and Kenneth R. Koedinger); (24) A Method for Finding Prerequisites Within a Curriculum (Annalies Vuong, Tristan Nixon and Brendon Towle); (25) Estimating Prerequisite Structure From Noisy Data (Emma Brunskill); (26) What can closed sets of students and their marks say? (Dmitry Ignatov, Serafima Mamedova, Nikita Romashkin, and Ivan Shamshurin); (27) How university entrants are choosing their department? Mining of university admission process with FCA taxonomies (Nikita Romashkin, Dmitry Ignatov and Elena Kolotova); (28) What's an Expert? Using learning analytics to identify emergent markers of expertise through automated speech, sentiment and sketch analysis (Marcelo Worsley and Paulo Blikstein); (29) Using Logistic Regression to Trace Multiple Subskills in a Dynamic Bayes Net (Yanbo Xu and Jack Mostow); (30) Monitoring Learners Proficiency: Weight Adaptation in the Elo Rating System (K. Wauters, P. Desmet and W. Van Den Noortgate); (31) Modeling students activity in online discussion forums: a strategy based on time series and agglomerative hierarchical clustering (G. Cobo, D. Garcia, E. Santamaria, J.A. Moran, J. Melenchon and C. Monzo); (32) Prediction of Perceived Disorientation in Online Learning Environment with Random Forest Regression (Gokhan Akcapinar, Erdal Cosgun and Arif Altun); (33) Analysing Student Spatial Deployment in a Computer Laboratory (Vladimir Ivancevic, Milan Celikovic and Ivan Lukovic); (34) Predicting School Failure Using Data Mining (C. Marquez-Vera, C. Romero and S. Ventura); (35) A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning (P. Pavlik Jr. and S. Wu); (36) Desperately Seeking Subscripts: Towards Automated Model Parameterization (J. Mostow, Y. Xu and M. Munna); (37) Automatic Generation of Proof Problems in Deductive Logic (B. Mostafavi, T. Barnes and M. Croy); (38) Comparison of Traditional Assessment with Dynamic Testing in a Tutoring System (Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos and Cristina Heffernan); (39) Evaluating a Bayesian Student Model of Decimal Misconceptions (G. Goguadze, S. Sosnovsky, S. Isotani and B. Mclaren); (40) Exploring user data from a game-like math tutor: a case study in causal modeling (D. Rai and J. E. Beck); (41) Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry (A. Hershkovitz, R.S.J.D. Baker, J. Gobert and M. Wixon); (42) Towards improvements on domain-independent measurements for collaborative assessment (Antonio R. Anaya and Jesus G. Boticario); (43) A Java desktop tool for mining Moodle data (R. Pedraza-Perez, C. Romero and S. Ventura); (44) Using data mining in a recommender system to search for learning objects in repositories (A. Zapata-Gonzalez, V.H. Menendez, M.E. Prieto-Mendez and C. Romero); (45) E-learning Web Miner: A data mining application to help instructors involved in virtual courses (Diego Garcia-Saiz and M.E. Zorrilla Pantaleon); (46) Computerized Coding System for Life Narratives to Assess Students' Personality Adaption (Q. He, B.P. Veldkamp and G.J. Westerhof); (47) Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System (Emma Brunskill and Stuart Russell); (48) Mining Teaching Behaviors from Pedagogical Surveys (J. Barracosa and C. Antunes); (49) Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results (S. Fancsali); (50) The Hospital Classrooms Environments Challenge (Carina Gonzalez and Pedro A. Toledo); (51) Combining study of complex network and text mining analysis to understand growth mechanism of communities on SNS (Osamu Yamakawa, Takahiro Tagawa, Hitoshi Inoue, Koichi Yastake and Takahiro Sumiya); (52) Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! (Yanbo Xu and Jack Mostow); (53) Studying problem-solving strategies in the early stages of learning programming (E. Cambranes-Martinez and J. Good); (54) Brick: Mining Pedagogically Interesting Sequential Patterns (Anjo Anjewierden, Hannie Gijlers, Nadira Saab and Robert De Hoog); (55) Intelligent evaluation of social knowledge building using conceptual maps with MLN (L. Moreno, C.S. Gonzalez, R. Estevez and B. Popescu); (56) Identifying Influence Factors on Students Success by Subgroup Discovery (F. Lemmerich, M. Ifland and F. Puppe); (57) Analyzing University Data for Determining Student Profiles and Predicting Performance (D. Kabakchieva, K. Stefanova and V. Kisimov); (58) The EDM Vis Tool (Matthew Johnson, Michael Eagle, Leena Joseph and Tiffany Barnes); (59) Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data (Y. Wang and N.T. Heffernan); (60) Quality Control and Data Mining Techniques Applied to Monitoring Scaled Scores (A.A. Von Davier); (61) eLAT: An Exploratory Learning Analytics Tool for Reflection and Iterative Improvement of Technology Enhanced Learning (A.L. Dyckhoff, D. Zielke, M.A. Chatti and U. Schroeder); (62) Predicting graduate-level performance from undergraduate achievements (J. Zimmermann, K.H. Brodersen, J.-P. Pellet, E. August and J.M. Buhmann); (63) Mining Assessment and Teaching Evaluation Data of Regular and Advanced Stream Students (Irena Koprinska); (64) Investigating Usage of Resources in LMS with Specific Association Rules (A. Merceron); (65) Towards Parameter-Free Data Mining: Mining Educational Data with "yacaree" (Jose L. Balcazar, Diego Garcia-Saiz and Marta E. Zorrilla); (66) Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science (Leigh Ann Sudol-DeLyser and Jonathan Steinhart); (67) Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online (P.S. Inventado, R. Legaspi, M. Suarez and M. Numao); (68) Learning parameters for a knowledge diagnostic tools in orthopedic surgery (S. Lalle and V. Luengo); (69) Problem Response Theory and its Application for Tutoring (P. Jarusek and R. Pelanek); and (70) Towards Better Understanding of Transfer in Cognitive Models of Practice (Michael V. Yudelson, Philip I. Pavlik, Jr. and Kenneth R. Koedinger). Individual papers contain tables, figures, footnotes and references.
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- 2011
23. Genre Variation in the Introduction of Scientific Papers in Iranian and International Computer Science Journals
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Bahman Ebrahimi and Hiwa Weisi
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genre analysis ,computer science ,research articles ,introduction ,Language and Literature - Abstract
Introduction functions as a showcase in research articles (RAs). It motivates the reader to read the rest of the paper. However, writing a well-crafted introduction is a complex task, mainly when the writer generates the manuscript in another language. This study investigated the rhetorical differences/similarities employed in the introductions of RAs published in Iranian and international ISI journals in Computer Sciences (CS) using Swales (2004) CARS model. Two sets of CS RAs (30 each) were randomly selected. Frequency and non-parametric tests were used to examine the differences between the two groups of introductions. The results indicated that M 1 S 1 (Generalizing the topic), M2 1A (Indicating the gap), M3 S1 (Describing the research), M3 S4 (Methods Summary), and M 3 S 6 (Stating research advantages) were used with high frequencies. M 2 S 2 (Announcing positive justification) was absent, and the others were in low preferences. Also, the Analysis illustrated a statistically significant variation between the introductions concerning the use of M3S7 (Demarcating the Research Organization). Findings support genre-based pedagogy in scientific writing classes to make the graduate CS students aware of these rhetorical structures conventional to introductions in CS RAs.
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- 2019
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24. Classification of Paper Values Based on Citation Rank and PageRank.
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Souma, Wataru, Vodenska, Irena, and Chitkushev, Lou
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CITATION networks ,MOLECULAR biology ,COMPUTER science ,CITATION indexes ,INFORMATION science ,COMPUTER engineering - Abstract
Purpose: The number of citations has been widely used to measure the significance of a paper. However, there is a need in introducing another index to determine superiority or inferiority of papers with the same number of citations. We determine superiority or inferiority of papers by using the ranking based on the number of citations and PageRank. Design/methodology/approach: We show the positive linear correlation between Citation Rank (the ranking of the number of citation) and PageRank. On this basis, we identify high-quality, prestige, emerging, and popular papers. Findings: We found that the high-quality papers belong to the subjects of biochemistry and molecular biology, chemistry, and multidisciplinary sciences. The prestige papers correspond to the subjects of computer science, engineering, and information science. The emerging papers are related to biochemistry and molecular biology, as well as those published in the journal "Cell." The popular papers belong to the subject of multidisciplinary sciences. Research limitations: We analyze the Science Citation Index Expanded (SCIE) from 1981 to 2015 to calculate Citation Rank and PageRank within a citation network consisting of 34,666,719 papers and 591,321,826 citations. Practical implications: Our method is applicable to forecast emerging fields of research subjects in science and helps policymakers to consider science policy. Originality/value: We calculated PageRank for a giant citation network which is extremely larger than the citation networks investigated by previous researchers. [ABSTRACT FROM AUTHOR]
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- 2020
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25. Hundreds of gibberish papers still lurk in the scientific literature
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Van Noorden, Richard
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- 2021
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26. Neither Computer Science, nor Information Studies, nor Humanities Enough: What Is the Status of a Digital Humanities Conference Paper?
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Estill, Laura and Guiliano, Jennifer
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DIGITAL humanities ,ELECTRONIC data processing ,COMPUTER science ,HUMANITIES ,SOCIAL sciences - Abstract
Copyright of Digital Studies / Champ Numérique is the property of Open Library of Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2023
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27. The plan to mine the world’s research papers
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Pulla, Priyanka
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- 2019
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28. An Operations Research-Based Teaching Unit for Grade 11: The ROAR Experience, Part II
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Gabriella Colajanni, Alessandro Gobbi, Marinella Picchi, Alice Raffaele, and Eugenia Taranto
- Abstract
In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having the main aim to improve students' interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating mathematics and computer science through operations research. In a previous paper, we reported on the design and implementation of the first unit, started in Spring 2021 at the scientific high school IIS Antonietti in Iseo (Brescia, Italy), in a Grade-10 class. Here, we focus on the second unit, carried out in Winter/Spring 2022 with the same students, now in a Grade-11 class. In particular, we describe objectives, prerequisites, topics and methods, the organization of the lectures, digital technologies used, and a challenging final project. Moreover, we analyze the feedback from students and teachers involved in the experimentation.
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- 2024
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29. From Crisis to Opportunity: Practices and Technologies for a More Effective Post-COVID Classroom
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Jeremie Regnier, Ethan Shafer, Edward Sobiesk, Nicholas Stave, and Malcolm Haynes
- Abstract
In our post-pandemic world, where the majority of higher education institutions have transitioned back to in-person classes, this paper argues that we must not return to pre-COVID teaching practices. Instead, we have the obligation and opportunity to create an educational experience and environment that better facilitates learning and instruction. This paper presents post-COVID best practices for employing technology in higher education based on an original survey and follow-up interviews of seventeen computing instructors at our institution. After a literature review, we describe four general categories of practices that enhance the post-COVID classroom: online student activities, digital instructor notes, remote classroom participation and collaboration, and a paperless classroom. For each of these categories, we provide vignettes to illustrate scope and intent. We also offer recommendations for addressing digital dishonesty, required infrastructure, institutional support, and being prepared to seamlessly return to a blended or fully remote environment in the event of another crisis. Finally, we identify additional emerging technological challenges and opportunities that require further effort. Overall, this paper emphasizes the need for a shift towards improved practices in the classroom rather than just a return to pre-pandemic norms. We believe implementing these recommendations will result in a more flexible, accessible, and robust post-COVID educational experience.
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- 2024
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30. Tapping into early PhD aspirations to advance gender equity in computing: predicting PhD interest among upward transfer students
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Blaney, Jennifer M., Feldon, David F., and Litson, Kaylee
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- 2024
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31. The Influences of Computer Game Play and Social Media Use on Computer Science Identity and Computer Science Career Interests
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Shah, Zohal, Chen, Chen, Sonnert, Gerhard, and Sadler, Philip M.
- Abstract
Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social media than do male students, so a gender comparison perspective is helpful. Using a national sample of 10,197 U.S. college students in introductory CS courses, we found that frequent computer gameplay was strongly associated with CS career interest for both male and female students. However, increased social media use predicted a higher CS career interest for female students, but a lower interest in male students.
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- 2023
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32. Comparing Course Delivery Methods, What Do Students Prefer and What Works
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Swanson, Dewey A. and Swanson, Courtney S.
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In the past eleven years we have developed several papers for ASCUE about hybrid classes. The initial paper we shared our experience developing a hybrid course and followed with comparisons of student opinions about face-to-face, hybrid, and online classes and finally a paper reviewing components that we were using in hybrid and online classes. It has been eight years since we last addressed the topic, in that time, we have gone from using no online classes and limited use of hybrid courses to relying on their availability in order to deliver our BS program in Computer and Information Technology (CIT) to three sites in Purdue Polytechnic statewide locations. In this paper we would like to take a look at where we have come in the last eleven years. We also would like to compare the methods of instruction: face-to-face, hybrid, and online, is one method more successful than others, how do students feel about the methods of instruction? We know the students are unique and those different types of course delivery may appeal to different people. With that in mind, we will look into the students who prefer which environment and why. Finally, if you are teaching a hybrid or online class what can be done in the classroom to be successful. [For the full proceedings, see ED596991.]
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- 2019
33. Preface of the Special Issue Dedicated to Selected Papers from IWOCA 2022.
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Bazgan, Cristina and Fernau, Henning
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- *
WATERMARKS , *COMPUTER science , *DATA structures , *INDEPENDENT sets , *BIPARTITE graphs - Abstract
The 33rd International Workshop On Combinatorial Algorithms (IWOCA 2022) was held at the University of Trier in Germany. This workshop covers a wide range of topics related to combinatorial algorithms. The special issue of the journal Algorithmica contains extended versions of selected papers from IWOCA 2022, which were nominated by the Program Committee and underwent a rigorous reviewing process. The special issue includes nine papers on various topics such as perfect matchings, algorithmic questions, and winner determination algorithms. One paper was chosen as the Best Paper of IWOCA 2022 and another as the Best Student Paper. The special issue is recommended for readers interested in exploring more papers from IWOCA 2022. [Extracted from the article]
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- 2024
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34. Teaching Robotics during COVID-19: Machine Learning, Simulation, and AWS DeepRacer
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International Association for Development of the Information Society (IADIS) and Holowka, Peter
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COVID-19 presented a challenge to the traditional methods of teaching programming and robotics in a secondary school environment. When campuses were closed around the world in the spring of 2020, it was not possible for students to access the computer labs nor the robotics equipment that was traditionally used to facilitate the instruction of robotics programming units. This paper presents a design research project in which two secondary institutions in Canada and Turkey collaborated to teach computer science and robotics programming, specifically reinforcement learning, through the use of an online simulation environment. The two student cohorts in the study both were successful in developing reinforcement learning models for autonomous vehicles, despite not having any prior experience in machine learning nor artificial intelligence. The implications of this work are that physical robotics kits and dedicated robotics spaces are not essential to the teaching of programming and robotics. This is especially relevant to marginalized communities that do not have the resources to support robotics instruction, further exacerbating the digital divide.
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- 2020
35. Sixth New Zealand Computer Conference (Auckland 78). Volume I, Papers.
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New Zealand Computer Society, Auckland.
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This collection of conference presentations includes 23 papers on a variety of topics pertaining to the use of computer in New Zealand. Among the topics discussed are computer science techniques in a commercial data processing situation, data processing personnel and their careers, the communication aspects of an airline system, implementation of Alsol-W programming systems, computer communications and the fire service, observations on user/vendor communications, future database and application development techniques, system control via a high level language, the organization and management of systems development, and human communication between educational data processors and those outside the profession, e.g., the users. (JEG)
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- 1978
36. AFTHER: A Decision-Making Game for Higher Education. ASHE Annual Meeting 1979 Paper.
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Gunne, G. Manny
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AFTHER, a computer simulation game for dealing with the complexities of higher education in a changing electronic world, is described. It is a tool for decision research and decision assistance. AFTHER enables the users to study higher education governance and its decision-making patterns in general, or to readily convert the simulation to an institution's particular characteristics and problems. This individualized conversion, used for teaching, decision research, or decision assistance, can be done without knowledge of computer language. Within the parameters of the game model, the computer can reprogram itself in all areas and dimensions of analysis and readily accept modified or revised data for institutional analysis. The simulation procedure, simulation elements, advantageous features, and research and development implications are detailed. (Author/MSE)
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- 1979
37. Microelectronics in F. E.: Some Personal Perceptions. An Occasional Paper.
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Further Education Curriculum Review and Development Unit, London (England). and Dean, K. J.
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The recent microelectronics developments are having, and will continue to have, a sharp impact on various industries in Great Britain, and thus on the capacity of the Further Education System to produce qualified graduates. To maintain a high quality of education, instructors must learn of these new developments and teach them to their vocational students, who generally will require more skills to cope with changing jobs and technologies. Technology-based students need to widen their range of skills to include computer-based techniques in engineering, business and management, stores, hotels, and restaurants, public service utilities, trade unions and professional associations, and education and accrediting agencies. Universally, employers are calling for improved basic skills, such as use of good English and good mathematical skills; the ability to communicate and translate data to and from consumers; the establishment of productive work values; the ability to work effectively with others; and, a knowledge of the basic structure of industry and commerce. The need exists to bring closer together technical and basic skills, which the Further Education Programs are currently planning to accomplish. (KC)
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- 1981
38. Digital Learning Experiences and Spaces: Learning from the Past to Design Better Pedagogical and Curricular Futures
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Bough, Ashley and Martinez Sainz, Gabriela
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Over 60 years of technology development, transformation of educational policy and curriculum innovation in Ireland have resulted in the introduction of the Computer Science (CS) subject in Post-Primary (PP) Education. CS has always been conceived digitally and the Digital Learning Experiences (DLE) enacted through its curriculum are strongly interconnected to the opportunities and limitations offered by Digital Spaces (DS). However, key challenges have been identified for the successful implementation of CSE, from teachers' digital competencies and educational strategies in the classroom to learners' varying experiences of CSE. Through a systematic literature review of the educational policies and practices in Ireland's Educational System, this paper documents the digital evolution from the 1960s accounting for the CS curriculum. The literature review identifies key themes in how DS have been conceptualised through CSE, responding to learners' needs and teachers' skills and competencies, informed by emerging societal demands by providing evidence on the disparity between educational policy and practice for DS. Building upon the identified themes, this paper emphasises the importance of the design and implementation of DLE in DS such as the CS subject that considers historical lessons learned to respond to the uncertainties of the digital future.
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- 2023
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39. Selected Papers from IIKII 2019 Conferences in Symmetry
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Teen-Hang Meen, Charles Tijus, and Jih-Fu Tu
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physics symmetry ,mathematics symmetry ,computer Science ,Mathematics ,QA1-939 - Abstract
The International Institute of Knowledge Innovation and Invention (IIKII) is an institute that promotes the exchange of innovations and inventions, and establishes a communication platform for international innovations and researches. In 2019, IIKII cooperated with the Institute of Electrical and Electronics Engineers (IEEE) Tainan Section Sensors Council to hold IEEE conferences such as IEEE ICIASE 2019, IEEE ECBIOS 2019, IEEE ICKII 2019, ICUSA-GAME 2019, and IEEE ECICE 2019. This Special Issue entitled “Selected Papers from IIKII 2019 conferences” aims to select excellent papers from IIKII 2019 conferences, including symmetry in physics, chemistry, biology, mathematics, and computer science, etc. It selected 21 excellent papers from 750 papers presented in IIKII 2019 conferences on the topic of symmetry. The main goals of this Special Issue are to encourage scientists to publish their experimental and theoretical results in as much detail as possible, and to discover new scientific knowledge relevant to the topic of symmetry.
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- 2020
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40. Student Achievement in High Technology Programs--Community College vs. University Mathematical Preparation. AIR 1984 Annual Forum Paper.
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Coleman, Daniel R.
- Abstract
Results of a study that compared the performance of students in high technology programs in engineering and computer science are presented, with emphasis on students' mathematical preparation. The study population involved 175 transfer students who completed their mathematical prerequisites at three community colleges and 188 students who completed their prerequisites at the university. The community college sample included all students who completed the two calculus prerequisites with a final grade of "D" or above and subsequently enrolled at the university in one of the high technology programs between 1979 and 1983. The university subpopulation was a stratified random sample of those students who completed the calculus prerequisites with a final grade of "D" or above and enrolled in the high technology programs during the same time period. The findings revealed that a substantially greater percentage of the students who completed the calculus sequence at the community college received grades of "C" or higher. Further, it was found that academic performance in those engineering and computer science courses that required calculus as a prerequisite was independent of the type of institution in which the calculus sequence was completed. (Author/SW)
- Published
- 1984
41. Distance Education in Southern Africa Conference, 1987. Papers 3.2: Media and Technology in Distance Education.
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South Africa Univ., Pretoria. and Adey, David
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Thirteen papers from the University of South Africa's Conference on Distance Education are presented on media and technology. They include: "Making the Abstract Concrete: A Slide/Sound Programme to Illustrate Abstract Concepts on the Concrete Level" (Grace Reeler); "The Microcomputer and Distance Education" (Johanna S. Rossouw); "A Multimedia Approach to Creating Learning Experiences in Distance Education" (Louis J. van Niekerk); "The Training of Teachers by Means of Teletuition: The Audio Cassette and Teaching Practice" (Lawrie McFarlane); "Microteaching and Distance Education--The Self Teaching Experience" (Paul J.N. Steyn); "Written Language as Didactic Medium: From Principle to Technology" (Hannes van Deventer); "Computer-Aided Instruction in Quantitative Management--Part 1" (Ilze Olivier et al.); "Computer-Aided Instruction in Quantitative Management--Part 2" (Erica Ferreira, Gordon Erens); "The Application of Computer Technology in Offering Equal Education Opportunities to Students from First- and Third-World Environments" (J. Dewald Lubbe); "The Law Student and the Law Library" (Jean Burdzik); "The Effect of Advances in Information Technology on the Teaching of Practical Aspects in Computer Science at UNISA" (C.H. Bornman et al.); "Die Gebruik van Inligtingstegnologie in Afstandsonderrig" (N.F. du Plooy et al.); and "Computer-Aided Education as Student Centred Education: Practical Applications for Today and the Future" (P.J. van Dyk). (LB)
- Published
- 1987
42. Peer-Selected “Best Papers”—Are They Really That “Good”?
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Wainer, Jacques, Eckmann, Michael, and Rocha, Anderson
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COMPUTER science ,CITATION analysis ,PROPAGANDA ,ACQUISITION of data - Abstract
Background: Peer evaluation is the cornerstone of science evaluation. In this paper, we analyze whether or not a form of peer evaluation, the pre-publication selection of the best papers in Computer Science (CS) conferences, is better than random, when considering future citations received by the papers. Methods: Considering 12 conferences (for several years), we collected the citation counts from Scopus for both the best papers and the non-best papers. For a different set of 17 conferences, we collected the data from Google Scholar. For each data set, we computed the proportion of cases whereby the best paper has more citations. We also compare this proportion for years before 2010 and after to evaluate if there is a propaganda effect. Finally, we count the proportion of best papers that are in the top 10% and 20% most cited for each conference instance. Results: The probability that a best paper will receive more citations than a non best paper is 0.72 (95% CI = 0.66, 0.77) for the Scopus data, and 0.78 (95% CI = 0.74, 0.81) for the Scholar data. There are no significant changes in the probabilities for different years. Also, 51% of the best papers are among the top 10% most cited papers in each conference/year, and 64% of them are among the top 20% most cited. Discussion: There is strong evidence that the selection of best papers in Computer Science conferences is better than a random selection, and that a significant number of the best papers are among the top cited papers in the conference. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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43. Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach.
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Moctezuma, Daniela, López-Vázquez, Carlos, Lopes, Lucas, Trevisan, Norton, and Pérez, José
- Subjects
MACHINE learning ,COMPUTER science ,INFORMATION science ,CLASSIFICATION ,CARTOGRAPHY - Abstract
Science as a whole is organized into broad fields, and as a consequence, research, resources, students, etc., are also classified, assigned, or invited following a similar structure. Some fields have been established for centuries, and some others are just flourishing. Funding, staff, etc., to support fields are offered if there is some activity on it, commonly measured in terms of the number of published scientific papers. How to find them? There exist well-respected listings where scientific journals are ascribed to one or more knowledge fields. Such lists are human-made, but the complexity begins when a field covers more than one area of knowledge. How to discern if a particular paper is devoted to a field not considered in such lists? In this work, we propose a methodology able to classify the universe of papers into two classes; those belonging to the field of interest, and those that do not. This proposed procedure learns from the title and abstract of papers published in monothematic or "pure" journals. Provided that such journals exist, the procedure could be applied to any field of knowledge. We tested the process with Geographic Information Science. The field has contacts with Computer Science, Mathematics, Cartography, and others, a fact which makes the task very difficult. We also tested our procedure and analyzed its results with three different criteria, illustrating its power and capabilities. Interesting findings were found, where our proposed solution reached similar results as human taggers also similar results compared with state-of-the-art related work. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
44. Beyond Boundaries of Cultural Capital in Determining the Inclusion of Information Technology in the High School Curriculum
- Author
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Dewa, Alton
- Abstract
Few high schools offer Information Technology (IT)) as a subject in South Africa. This paper used Bourdieu's conception of cultural capital to investigate the reasons why many public schools are shunning away from including IT in their curriculum. Data were collected using a questionnaire and analysed using ANOVA, to determine whether cultural capital influences choosing IT as one of the subjects in the school curriculum. The results showed that public high school principals view IT as a subject that should be done in schools where there is medium-to-high cultural capital status. It is a challenge for schools with low cultural capital to offer IT among their subjects as it is not practiced by the community or society in which the schools exist. The paper concludes by recommending that there is room for the so-called 'low cultural capital' schools to offer IT among their subjects despite the challenges they are facing. Cultural capital does not hinder students' performance. Students from low cultural capital communities can achieve good grades even though they learn under difficult circumstances of inadequate educational resources.
- Published
- 2022
45. Proceedings of International Conference on Research in Education and Science (Antalya, Turkey, March 24-27, 2022). Volume 1
- Author
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International Society for Technology, Education and Science (ISTES) Organization, Shelley, Mack, Akcay, Hakan, and Ozturk, Omer Tayfur
- Abstract
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on March 24-27, 2022 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and practical issues and to connect with the leaders in the fields of education and science. The conference is organized annually by the International Society for Technology, Education, and Science (ISTES). The ICRES invites submissions which address the theory, research or applications in all disciplines of education and science. The ICRES is organized for: faculty members in all disciplines of education and science, graduate students, K-12 administrators, teachers, principals and all interested in education and science. After peer-reviewing process, all full papers are published in the Conference Proceedings. [Individual papers are indexed in ERIC.]
- Published
- 2022
46. Apple Treats. BASIC Classroom Computing Featuring Hands-On Activities and Pencil/Paper Fun.
- Author
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Embry, Lynn
- Abstract
Developed as an introduction to computer programming using an Apple microcomputer, this document presents teachers and students with: (1) essential vocabulary used in the BASIC language; (2) syntax; and (3) programming techniques. Simple hands-on activities designed to guide the learner through beginning BASIC programming skills and fundamental graphics are provided in the first half of the book. The second half contains activities, word puzzles and games, designed to evaluate student progress and reinforce the learning of computer programming. The document is designed to be used sequentially and many of the activities are printed in a reproducible format. Included in the back of the book are a summary of basic commands and keywords, a glossary, an answer key to the quizzes and activities, and an index. (TW)
- Published
- 1985
47. The evolution of sentiment analysis—A review of research topics, venues, and top cited papers.
- Author
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Mäntylä, Mika V., Graziotin, Daniel, and Kuutila, Miikka
- Subjects
COMPUTER science ,SENTIMENT analysis ,SOCIAL media ,TEXT mining ,SOFTWARE engineering - Abstract
Sentiment analysis is one of the fastest growing research areas in computer science, making it challenging to keep track of all the activities in the area. We present a computer-assisted literature review, where we utilize both text mining and qualitative coding, and analyze 6996 papers from Scopus. We find that the roots of sentiment analysis are in the studies on public opinion analysis at the beginning of 20th century and in the text subjectivity analysis performed by the computational linguistics community in 1990’s. However, the outbreak of computer-based sentiment analysis only occurred with the availability of subjective texts on the Web. Consequently, 99% of the papers have been published after 2004. Sentiment analysis papers are scattered to multiple publication venues, and the combined number of papers in the top-15 venues only represent ca. 30% of the papers in total. We present the top-20 cited papers from Google Scholar and Scopus and a taxonomy of research topics. In recent years, sentiment analysis has shifted from analyzing online product reviews to social media texts from Twitter and Facebook. Many topics beyond product reviews like stock markets, elections, disasters, medicine, software engineering and cyberbullying extend the utilization of sentiment analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
48. South African research contributions to Lecture Notes in Computer Science, 1973-2022.
- Author
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Naudé, Filistéa and Kroeze, Jan H.
- Subjects
COMPUTER science ,ARTIFICIAL intelligence ,RESEARCH personnel ,AUTHORSHIP collaboration ,PERIODICAL articles - Abstract
Lecture Notes in Computer Science (LNCS) is a globally recognised publication outlet for the field of Computer Science, including in South Africa. In this study, spanning from 1973 to 2022, we investigated the research participation of South African based authors in LNCS. The publication output and citation impact of these authors were compared to the global Computer Science and LNCS output. The authorship patterns and collaborative behaviour of South African LNCS papers were explored, and a keyword or topic analysis also conducted. Of the total of 518 662 LNCS papers published globally between 1973 and 2022, South African based researchers contributed 1150 papers (0.22%). The LNCS papers from South Africa exhibit a strong collaborative publication culture, with 1043 (91%) co-authored and 107 (9%) singleauthored works. Local LNCS researchers prefer institutional collaboration (43%), followed by international (37%) and national collaboration (11%). Europe emerged as the most significant collaboration partner for LNCS researchers in South Africa. Of the 1150 papers, 836 (73%) had received citations, while 314 (27%) had not. On average, papers published by South African based authors received 6.05 citations, compared to the global LNCS average of 9.49 citations per paper. A keyword analysis revealed that the majority of papers by South African authors focus on artificial intelligence. The results indicate that, although LNCS serves as a reputable dissemination platform for Computer Science research output both globally and locally, South African authors should consider publishing more journal articles to build and improve their researcher profiles. Significance: * The study shows that LNCS is the most frequent publication outlet for Computer Science researchers, globally and in South Africa. * The study offers insight into the publication output, authorship patterns, collaborative behaviour and citation impact of South African based Computer Science researchers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
49. Decrease in free computer science papers found through Google Scholar
- Author
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A. Pedersen, Lee and Arendt, Julie
- Published
- 2014
- Full Text
- View/download PDF
50. Digital Modes of Interpretation of Pictish Sculpture
- Author
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Sharon Pisani, Alan Miller, and Mark Hall
- Abstract
Cultural heritage is no longer something that can only be experienced in a museum exhibition. Digital tools have facilitated the distribution of material relating to artefacts, both in its representation and in presenting its context. This paper describes how digital modelling techniques can be synthesised with 3D scanning to digitally restore artefacts and create authentic replicas of their original states. The digital artefacts can then be used to assist the process of interpreting these artefacts in diverse forms, both in the museum and outside the museum. The study looks at Pictish sculpture as a case-study, restoring 3D models of two stones, and creating varying opportunities for their interpretation. As part of this study, new interactive tools, a virtual reality environment, and a virtual tour are built to assist immersive interpretation of the Pictish sculpture. The application of these digitised objects serves as an opportunity for informal learning. These applications were evaluated during a drop-in session. Findings show that all participants enjoyed the immersive mode of learning with 89% also showing a willingness to learn more about the topic.
- Published
- 2024
- Full Text
- View/download PDF
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