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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.]

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.

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.]

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.

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.

"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.]

At present, in the literature that is are devoted to social life, it has become commonplace to claim that we live in the era of the "digital revolution". Our paper deals with computer science in the period from the late 40's to early 60's of the twentieth century, which is considered from the point of view of "intellectual history". We concern ourselves with, in the main, two problems. First is self-consciousness of members of the computer science community in relation to other spheres of scientific and engineering-practical activity, including the question about the correlation of theoretical and applied components in the structure of the knowledge. Secondly, we tell about interactions of a new sphere of professional activity have been occurred in this period with various social practices - scientific, industrial, political and so on. Based on the texts that reflect the incipience of computer science in the West and in the Soviet Union, we reveal some features of the "philosophy" of the early period of the digital revolution in the context of the existence of two ideological systems. [For "NORDSCI International Conference Proceedings: Education and Language Edition (Helsinki, Finland, July 17, 2018). Book 1. Volume 1," see ED603189.]

Due to increasing digitization in all aspects of life, the demand for qualified software development professionals continues to increase. Students from underrepresented groups, such as first generation students from non-academic families, minorities, single parents and women represent an underutilized pool of untapped potential talent. The question arises as to which unique perspectives computer science graduates from underrepresented groups can bring to software development companies. In addition to programming skills, non-technical competencies, such as foreign language abilities, intercultural communication, creativity, conflict management, team-building and organizational skills are vital for success in diverse, international project teams. A large job market database for new graduates, developed for a consortium of universities in Bavaria, Germany, is analyzed using machine learning tools. Career competencies desired by recruiting companies are compared to potential advantages offered by computer science graduates from underrepresented groups. [For the complete proceedings, see ED608557.]

Increasing participation and continued persistence of women in computing is a perennial problem. This paper explores how participation in computing has been defined and the consequences definitions have on understanding women's persistence in computing. The data for this paper come from 64 in-depth, qualitative interviews with young women who in high school expressed interest in computing by looking into NCWIT's Aspirations in Computing Award. Drawing on communities of practice as a conceptual framework, analyses of the interviews show that defining participation in computing as engaging in computational thinking unduly prohibits some women from full membership in computing communities. Findings show that some women who self-identify with the computing community are not fully recognized by other members of the computing community.

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate different methods of following the development of student behaviour throughout the semester using online submission system data, and different approaches to analysing this development. We demonstrate the application of these methods to data from a junior computer science course (N=494) and discuss their usefulness in understanding the common behavioural strategies of students in this course and how these develop over time. Finally, we draw links between behaviour in weekly coding tasks and student performance in the final exam and discuss whether these methods could be applicable midway through the semester. [For the full proceedings, see ED592609.]

The "doer effect" is the assertion that the amount of interactive practice activity a student engages in is much more predictive of learning than the amount of passive reading or watching video the same student engages in. Although the evidence for a doer effect is now substantial, the evidence for a causal doer effect is not as well developed. To address this, we mined data for evidence of a causal doer effect across multiple domains. We examined data from two online courses in Psychology, one in Biology, one in Statistics, and two in Information Science, applying causal discovery algorithms in Tetrad to each. Assuming that factors driving a student's choices regarding how to spend their time in an online course are temporally prior to their performance on quizzes and exams, we found evidence of a causal relationship in every domain we studied. We did not find evidence that a unique causal model held in every domain we studied, but when we estimated the size of the causal relationships in the models we found in each domain, we did find evidence in every case that doing has a much stronger quantitative effect on learning than either reading or watching video. This work may be the first EDM effort to explore the generalizability of a causal claim about learning across multiple datasets from a variety of courses and contexts of use. It makes vivid the role of causal data mining algorithms in educational research. The evidence presented furthers the case for doer effect causality, but also recommends a need for richer data with more student background and learning process variables to better isolate causal directionality without assumptions about temporal order and unmeasured confounds. [For the full proceedings, see ED593090.]

The gender gap in computer science is worst amongst any of the STEM fields. At the secondary school level, only 18.6% of AP computer science test-takers in the United States were girls. In order to address the persistent gender gaps in computer science, it is important to understand K-12 students' views about computer science and programming. The present study examined middle school students' perceptions and affective attitudes towards programming. Results suggested that male students were more likely than their female peers to view programming as being interesting and easier to learn. Male students were also significantly more likely to feel that programming was an exciting and relaxing enterprise. We discuss the implications of these findings for computer science in schools.

In response to the glaring disparities in the number of African-Americans, Hispanics, Native Americans, and females employed in computer science (CS) field, the purpose of this study was to enhance underrepresented minority (URM) students' identification with and motivation for CS through a culturally relevant intervention in a required high school mathematics course. This intervention weaved geometry concepts, cultural art, and coding through the virtual presentation of Native American Star Quilts in Python. Participants were 142 high school students across six 10th-grade geometry classes. Three of the six geometry classes were randomly assigned to receive the intervention. Results indicated that the intervention had a positive effect on the development of computer science-oriented possible selves, especially among females, and a positive effect on the CS self-efficacy of females and Hispanic students.

We developed the Draw-A-Computer-Scientist-Test (DACST) to better understand elementary school students' conceptions of computer scientists and the nature of their work. By understanding how young children perceive computer scientists, we can broaden their ideas about the activities and images of computer scientists. We administered the DACST to 185, fourth through sixth grade students (aged 8-11). We found that students most often drew male computer scientists working alone. Students had a basic understanding of what computer scientists do, but the DACST did not always capture the nuances involved in this work. Commonly drawn actions included programming websites, games, and animations. Some students drew positive expressions of excitement around programming. A small percentage of students confused "computer scientist" and "scientist."

This study investigates how students who are peripherally positioned in computer science-based, collaborative group work meaningfully engage with the group activity in order to learn. Our research took place in the context of a one-day, all-girl robotics workshop. This work proceeds from the premise that learning about programming is mediated most directly by interaction with the robotics materials. In this and other studies of robotics, we have observed group negotiations over who would control materials at any given time. In our investigation of these negotiations, and the student participation that results, we have noticed that some students appear to be able to assert an agentic identity from the periphery, while other students struggle to participate. It is this phenomenon that we explore. A total of 17 girls participated in the workshop. In this study, we focus on two students from different groups who had less direct contact with the materials, and were thus positioned peripherally. We analyze discourse patterns to characterize the engagement of both the two groups of which the students were a part, as well as the two students themselves. One of the groups demonstrated stronger coordination from a discourse perspective and the focal student in that group exhibited meaningful engagement, while the other group demonstrated weaker coordination from a discourse perspective and the focal student exhibited marginal engagement. This contrast allows us to begin to build a picture of the factors that support learning from the periphery. Our results indicate that agency exhibited in well-coordinated group discussions is a key aspect of meaningful engagement. [For a related journal article from the authors, see EJ1121710.]

The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. "E-Learn 2015: World Conference on E-Learning" took place in Kona, Hawaii, October 19-22, 2015. This year's E-Learn conference again covered many different topics from the ever-present MOOCs to learner analytics to more rare topics such as personal innovativeness and semantic text theme generation. There are over 300 papers covering these topics in the proceedings. The following are the award papers presented at the conference: (1) Implementation of the Inverted Classroom Model for Theoretical Computer Science (Karsten Morisse); (2) Students' Conceptual Understanding of Leadership in a Global World: Learning via a Web-based Simulation of Political and Economic Development (Seungoh Paek and Daniel L. Hoffman); (3) Ready to Practice? Learning Skills Using Digital Simulated Patients (Nataly Martini, Ashwini Datt, Anuj Bhargava, and Craig Webster); (4) Mobile Learning for Students with and without Disabilities in K-12 Educational Setting (Jingrong Xie and James Basham); and (5) Using ADDIE to Design Online Courses via Hybrid Faculty Development (Michelle Read, Gwendolyn Morel, and Danyelle Hennington). [For the E-Learn 2014 proceedings, see ED602926.]