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This edited volume presents the latest research focussing on current challenges on the deployment of smart technologies and pedagogies for supporting teaching and learning in the post-covid19 era. This is at the core of studying the evolution of the learning process, the role of technology-supported pedagogical approaches, and the progress of educational technology innovations in the context of digital transformation in education and professional training. A selection of the best papers from the Cognition and Exploratory Learning in the Digital Age (CELDA) Conference, 2022 are included in this volume, bringing together high-quality research on Smart Pedagogies in the Post-Pandemic Era; Smart Learning Technologies in the Post-Pandemic Era; and Case Studies of Smart Learning Environments. The volume contributes to the discussion of current issues in digital education between researchers, practitioners, and policymakers.

"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 19-22, 2023, in Las Vegas, Nevada. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and practical issues, and to connect with the leaders in the fields of education and social sciences. The IConSES invites submissions that address the theory, research, or applications in all disciplines of education and social sciences. The IConSES is organized for: faculty members in all disciplines of education and social sciences, graduate students, K-12 administrators, teachers, principals, and all interested in education and social sciences. [Individual papers are indexed in ERIC.]

This book starts with the premise that beauty can be an engine of transformation and authentic engagement in an increasingly complex world. It presents an organized picture of highlights from the 13th European Science Education Research Association Conference, ESERA 2019, held in Bologna, Italy. The collection includes contributions that discuss contemporary issues such as climate change, multiculturalism, and the flourishing of new interdisciplinary areas of investigation, including the application of cognitive neuroscience, artificial intelligence, and digital humanities to science education research. It also highlights learners' difficulties engaging with socio-scientific issues in a digital and post-truth era. The volume demonstrates that deepening our understanding is the preferred way to address these challenges and that science education has a key role to play in this effort. In particular, the book advances the argument that the deep and novel character of these challenges requires a collective search for new narratives and languages, an expanding knowledge base and new theoretical perspectives and methods of research. The book provides a contemporary picture of science education research and looks to the theoretical and practical societal challenges of the future.

Summary: This book constitutes the refereed proceedings of the Second International Symposium on Artificial Life and Intelligent Agents, ALIA 2016, held in Birmingham, UK, in June 2016. The 8 revised full papers and three revised short papers presented together with two demo papers were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on modelling; robotics; bio-inspired problem solving; human-like systems; applications and games.

Summary: This book features a selection of papers presented at the Second IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014, held in Wroclaw, Poland, in September 2014, in the framework of the Federated Conferences on Computer Science and Information Systems, FedCSIS 2014. The 9 revised and extended papers and one invited paper were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and are organized in the following topical sections: tools and methods for knowledge acquisition; models and functioning of knowledge management; techniques of artificial intelligence supporting knowlege management; and components of knowledge flow.

This document contains the full and short papers on artificial intelligence in education from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a computational model for learners' motivation states in individualized tutoring system; a fuzzy-based assessment for Perl tutoring system; a genetic approach to parallel test construction; a learning environment for problem posing in simple arithmetical word problems; a method of creating counterexamples by using error-based simulation; a study of a networked constructive CAI (Computer Assisted Instruction) system using multiplication; adaptive programming language tutoring system on the World Wide Web; an agent-based intelligent tutoring system; an educational system that can visualize behavior of programs on the domain world; an environment for learning by design; applicability of an educational system assisting teachers of novice programming to actual education; a case-based evaluating assistant of novice programs; development and evaluation of a call system for supporting the writing of technical Japanese texts on the Web; development and evaluation of a mental model framing support ITS (Intelligent Tutoring System); development of intelligent learning support system with a large knowledge base; educational agents and the social construction of knowledge; facilitating examples understanding through explicit questioning; generating interactive explanations by using both images and texts for Micro World; intelligent interactive learning environment design issues; Internet video on demand system of classroom teaching cases-building 'Rhapsody': an intelligent media-oriented remote educational system for self-learning support; learning protocols for knowledge discovery--a collaborative data-mining approach to creative science education; monitoring and verifying mathematical proofs formulated in a restricted natural language; natural language-like knowledge representation for multimedia educational systems; the application of uncertainty reasoning for an ITS; the design and implementation of automatic exercise generator with tagged documents based on the intelligence of students (AEGIS); the design of CAI with thinking activity to progress constructive teaching; the estimation of music genres using neural network and its educational use; the externalization support system of self-explanation for the learning problem-solving process; traversing the case graphs--a computer model for developing case-based learning systems; use of abstraction levels in the design of intelligent tutoring systems; and using decision networks for adaptive tutoring. (MES)

Research messages is a summary of research produced by NCVER each year. This year's compilation includes a range of research activities undertaken during 2023, comprising of research reports, summaries, occasional papers, presentations, webinars, consultancies, submissions, the 32nd 'No Frills' national research conference, and various additions to VOCEDplus knowledge resources. "Research messages 2023" highlights the diverse range of research activities undertaken over the past year by the National Centre for Vocational Education Research (NCVER). This edition provides: (1) Key findings from NCVER's program of research; (2) Details of conferences, presentations, webinars, podcasts and other NCVER research communications; (3) Resources collated by NCVER designed to assist in informing the VET (vocational education and training) system and its related policies; and (4) A summary of NCVER discussion papers and submissions to government reviews.

"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 May 18-21, 2023, in Cappadocia, Turkey. The aim of the conference is to offer opportunities to share ideas, 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, engineering, science, and technology; graduate students; administrators; researchers; and all interested in education, engineering, science and technology. [Individual papers are indexed in ERIC.]

"Proceedings of International Conference on Studies in Education and Social Sciences" includes full papers presented at the International Conference on Studies in Education and Social Sciences (ICSES) which took place on October 20-23, 2023, 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 social sciences. The conference is organized annually by the International Society for Technology, Education, and Science (ISTES). The ICSES invites submissions which address the theory, research, or applications in all disciplines of education and social sciences. The ICSES is organized for: faculty members in all disciplines of education and social sciences, graduate students, K-12 administrators, teachers, principals and all interested in education and social sciences. After peer-reviewing process, all full papers are published in the Conference Proceedings. [Individual papers are indexed in ERIC. The month of the conference on the cover page (November) is incorrect. The correct month is October.]

This book contains a compilation of papers presented at the International Psychological Applications Conference and Trends (InPACT) 2024, organized by the World Institute for Advanced Research and Science (WIARS), held in International Psychological Applications Conference and Trends (InPACT) 2024, held in Porto, Portugal, from 20 to 22 of April 2024. This conference serves as a platform for scholars, researchers, practitioners, and students to come together and share their latest findings, ideas, and insights in the field of psychology. InPACT 2024 received 526 submissions, from more than 43 different countries all over the world, reviewed by a double-blind process. Submissions were prepared to take the form of Oral Presentations, Posters, Virtual Presentations and Workshops. 189 submissions (overall, 36% acceptance rate) were accepted for presentation at the conference.

These proceedings contain the papers and posters of the International Conferences on: Educational Technologies 2022 (ICEduTech 2022), Sustainability, Technology and Education 2022 (STE 2022), Internet Technologies & Society 2022 (ITS 2022), and Applied Management Advances in the 21st Century 2022 (AMA21 2022) held virtually, from December 14-16, 2022, and organized by the International Association for Development of the Information Society (IADIS). The International Conference on Educational Technologies 2022 (ICEduTech 2022) is the scientific conference addressing the real topics as seen by teachers, students, parents and school leaders. Topics for this conference were: (1) Education in Context; (2) Education as Professional Field; (3) Curricular Evolution; (4) Learner Orientation; (5) Integrating Educational Technologies; and (6) International Higher Education. The International Conference on Sustainability, Technology and Education 2022 (STE 2022) has the purpose to address the main issues which occur by evaluating the relationship between Sustainability, Education, and Technology. The main areas of interest for this conference are: (1) Sustainability and Leadership; (2) Sustainability and Green IT; and (3) Sustainability and Education. The International Conference on Internet Technologies & Society 2022 (ITS 2022) aims to address the main issues of concern within WWW/Internet as well as to assess the influence of Internet in the Information Society. Broad areas of interest are Internet Technologies, Information Management, e-Society and Digital Divide, e-Business/e-Commerce, e-Learning, New Media and e-Society, Digital Services in e-Society, e-Government/e-Governance and e-Health. The International Conference on Applied Management Advances in the 21st Century 2022 (AMA21 2022) seeks to provide a unique forum for presentation and discussion of the last research developments and solutions for the current issues of the world economy. Its core areas of interest are: (1) Managing with ICT; (2) E-Marketing & Digital Communication; (3) Digital Economy; (4) Entrepreneurship & Innovation; (5) Finances & Fintech; and (6) Teaching & Learning in Business. [Individual papers are indexed in ERIC.]

This guide draws on English-related errors from around 6000 papers written by non-native authors, 500 abstracts written by PhD students, and over 2000 hours of teaching researchers how to write and present research papers. This new edition has chapters on exploiting AI tools such as ChatGPT, Google Translate, and Reverso, for generating, paraphrasing, translating and correcting texts written in English. It also deals with contemporary issues such as the use of gender pronouns. Due to its focus on the specific errors that repeatedly appear in papers written by non-native authors, this manual is an ideal study guide for use in universities and research institutes. Such errors are related to the usage of articles, countable vs. uncountable nouns, tenses, modal verbs, active vs. passive form, relative clauses, infinitive vs. "-ing" form, the genitive, link words, quantifiers, word order, prepositions, acronyms, abbreviations, numbers and measurements, punctuation, and spelling.

These proceedings contain the papers of the 15th International Conference on e-Learning (EL 2021), which was organised by the International Association for Development of the Information Society (IADIS), July 20-22, 2021. This conference is part of the 15th Multi Conference on Computer Science and Information Systems (MCCSIS), July 20-23, 2021, which had a total of 456 submissions. Due to an exceptional situation caused by the COVID-19 pandemic, this year the conference was hosted virtually. The e-Learning (EL) 2021 conference aims to address the main issues of concern within e-Learning. This conference covers both technical as well as the non-technical aspects of e-Learning. The conference accepted submissions in the following seven main areas: (1) Organisational Strategy and Management Issues; (2) Technological Issues; (3) e-Learning Curriculum Development Issues; (4) Instructional Design Issues; (5) e-Learning Delivery Issues; (6) e-Learning Research Methods and Approaches; and (7) e-Skills and Information Literacy for Learning. [Individual papers are indexed in ERIC.]

The epidemic of COVID-19 has disrupted education in over 150 nations and harmed 1.6 billion children. As a result, a number of nations have introduced some type of remote learning employing technology and students were encouraged to engage in self-determined learning. Many Educational Institutions that previously resisted changing their traditional pedagogical method were forced to use online teaching and learning exclusively. Internet-educated kids who have never encountered this issue are unfamiliar with it. As a result, they are confronted with a number of psychological issues and are negatively impacting the health, social, and material well-being of children globally, with the poorest children, such as homeless children and children in detention, being the hardest hit. As a result, the editors came to the conclusion that it would be beneficial to issue a call for papers in order to discuss the difficulties and opportunities associated with the practise of heutagogy from the psychological and technological vantage points indicated in the title. [This book was published by Tamil Nadu Open University.]

"Skill is laying the foundation for a brighter India. As John Ruskin puts it, "Skill is the unified force of experience, intellect, and passion in their operation." "Nation Building" is a herculean task that involves the government of the land, private and public institutions, industries, organisations, and every citizen there, holding accountability of its development inch by inch. India faces enormous problems in practically every aspect of national life as a young democratic nation with a multilingual, multicultural, and multiethnic population. Poverty, illiteracy, unequal and underdeveloped growth of diverse segments of the country, and insufficient infrastructure in educational and training institutions are all impeding the country's development. The insufficiently skilled workforce is unable to assume greater responsibilities in the development of a better nation. In India, there is now a scarcity of highly trained and skilled educators. Both in India and overseas, there is a considerable need for all levels of skilled labour, including semiskilled, skilled, highly skilled, and highly skilled with specialisation. An estimated 65 percent of workers in India are aged 15 to 59, with an average age of 29 compared to China and other OECD countries. Approximately 335 million people are currently employed in the United States today. They are largely uneducated and have little or no experience. Approximately 59 million of the 70 million predicted to enter the market will be in the 15 to 30 age category. For the development of our country, reskilling, up-skilling, and conceiving and generating ways and means for national and international labour mobility, as well as mitigating the low contribution of women labour force, are all critical. Our youth will be more competent if we place a higher value on skill development. To address all of the concerns of globalisation, knowledge explosion and distribution, and skill development competition, the Indian government has launched a number of initiatives, including Skill India, Digital India, Startup India, and Make in India. Many groups are attempting to improve people's skills. (a) Directorate General of Training (DGT), (b) National Skill Development Corporation (NSDC), (c) Indian Institute of Entrepreneurship (IIE), (d) National Skill Development Agency (NSDA), (e) National Skill Development Fund (NSDF), (f) National Institute of Entrepreneurship and Small Business Development, g) Skill Sector Councils, (h) ICT Academy, and respective State Skill Development Corporations. To impart and upgrade abilities, numerous organisations and universities offer a variety of certificate, diploma, and postgraduate diploma courses. TNOU also provides a variety of skill-based courses. The aspiration and ambition of the Indian Government is to make India the world's "Skill Capital." We/the editors consider it a privilege to have compiled this book titled "Nation Building through Skill Development," which contains contributions on a wide range of subtopics on various elements of skill development explored by a diverse group of authors from around the world. Choosing the chapters was, indeed, a difficult task. Original papers with less than 10% plagiarism were chosen for publication. For the publication of this book, forty-one essays were chosen. We/the editors would want to express our gratitude to everyone who submitted a chapter. The contributions that were not included in this publication are in no way considered rejects. We/the editors express our gratitude to Prof. Dr. K. Parthasarathy, Vice Chancellor, Tamil Nadu Open University, for entrusting us with this task. We/the editors would also want to express our gratitude to all those kind individuals who have worked tirelessly to bring this book in black and white. [This book was published by Tamil Nadu Open University.]

This paper examines the evolution of computer software programs designed to support the qualitative research process; the differences between existing qualitative software and Metamorph(TM); and the use of Metamorph(TM) for qualitative research. The paper begins by presenting an overview of computer use in qualitative research, which includes a list of major analysis tasks employed by qualitative researchers and information on artificial intelligence and hypertext programs; issues of concern to qualitative researchers; the impact of microcomputers on social science research; and the adaptation and design of qualitative research tools. The section on Metamorph(TM) describes the program; its utilization in the research process; and studies using the program, including the Cooperative Alliance for Gifted Education (CAGE), a partnership grant currently in progress at Kent State University (Ohio). The names and addresses of four computer discussion groups are included. (Contains 14 references.) (ALF)

This is an international collection of 12 papers addressing artificial intelligence (AI) and knowledge technology applications in telecommunications and network management. It covers the latest and emerging AI technologies as applied to the telecommunications field. The papers are: "The Potential for Knowledge Technology in Telecommunications: A Quick Look" (J. Liebowitz); "Expert Systems for Telecommunications Dispatch Analysis and Remote Trouble Resolution" (D. S. Prerau); "Expert System for Service Order Information Entry" (S. Watanabe and F. Hattori); "Help Desk Applications at Telesoft" (F. Giovannini and V. Ripa di Meana); "Network Management Using Real-Time Expert Systems" (W. Fuller and S. Miksell); "AI for Managing Telecommunication Networks" (M. De Beler and others);"AI and Intelligent Networks in the 1990s and into the 21st Century" (L. Lewis); "Speech Recognition and Understanding (R. De Mori and others); "Neural Networks in Telecommunications: Applying Adaptive AI" (T. Loofbourrow); "The Use of Hybrid Intelligent Systems in Telecommunications" (R. Weihmayer and H. Velthuijsen); and "Learning Agents for Telecommunication" (M. R. Adler and W. J. Frawley). An author index and an affiliation index are also provided. (AEF)

This book provides exemplars of the types of computer-based learning environments represented by the theoretical camps within the field and the practical applications of the theories. The contributors discuss a variety of computer applications to learning, ranging from school-related topics such as geometry, algebra, biology, history, physics, and writing, to the more technical domains of electronics and avionics. The following papers are included: (1) "Reifying Implicit Planning in Geometry: Guidelines for Model-Based Intelligent Tutoring System Design" (Kenneth R. Koedinger and John R. Anderson); (2) "A Comparison of Learning Environments: All that Glitters..." (Valerie J. Shute); (3) "Motivational Techniques of Expert Human Tutors: Lessons for the Design of Computer-Based Tutors" (Mark R. Lepper, Maria Woolverton, Donna L. Mumme, and Jean-Luc Gurtner); (4) "Local Cognitive Modeling of Problem-Solving Behavior: An Application of Fuzzy Theory" (Sharon J. Derry and Lois W. Hawkes); (5) "Tutoring Systems and Pedagogical Theory: Representational Tools for Understanding, Planning, and Reflection in Problem Solving" (Kurt Reusser); (6) "On the Nature of Pedagogic Computer Tools: The Case of the Writing Partner" (Gavriel Salomon); (7) "Authors of Knowledge: Patterns of Hypermedia Design" (Richard Lehrer); (8) "Constructing a Joint Problem Space: The Computer as a Tool for Sharing Knowledge" (Stephanie D. Teaseley and Jeremy Roschelle); (9) "Computer Environments as Cognitive Tools for Enhancing Learning" (Susanne P. Lajoie); (10) "The Role of the Tutor in Computer-Based Collaborative Learning Situations" (Sandra Katz and Alan Lesgold); (11) "The Discovery and Reflection Notation: A Graphical Trace for Supporting Self-Regulation in Computer Based Laboratories" (Leona Schauble, Kalyani Raghavan, and Robert Glaser); (12) "Gazing Once More into the Silicon Chip: Who's Revolutionary Now?" (Susan F. Chipman); and (13) "Information Technology and the Future of Education" and (Alan Lesgold). Author and subject indexes are included, and all of the papers contain references. (KRN)

Summary: Originally published in 1995, this volume is the direct result of a conference in which a number of leading researchers from the fields of artificial intelligence and biology gathered to examine whether there was any ground to assume that a new AI paradigm was forming itself and what the essential ingredients of this new paradigm were. A great deal of scepsis is justified when researchers, particularly in the cognitive sciences, talk about a new paradigm. Shifts in paradigm mean not only new ideas but also shifts in what constitutes good problems, what counts as a result, the experimental practice to validate results, and the technological tools needed to do research. Due to the complexity of the subject matter, paradigms abound in the cognitive sciences -- connectionism being the most prominent newcomer in the mid-1980s. This workshop group was brought together in order to clarify the common ground, see what had been achieved so far, and examine in which way the research could move further. This volume is a reflection of this important meeting. It contains contributions which were distributed before the workshop but then substantially broadened and revised to reflect the workshop discussions and more recent technical work. Written in polemic form, sometimes criticizing the work done thus far within the new paradigm, this collection includes research program descriptions, technical contributions, and position papers.

Summary: This book gathers extended versions of the best papers presented at the 8th IEEE conference on Intelligent Systems, held in Sofia, Bulgaria on September 4-6, 2016, which are mainly related to theoretical research in the area of intelligent systems. The main focus is on novel developments in fuzzy and intuitionistic fuzzy sets, the mathematical modelling tool of generalized nets and the newly defined method of intercriteria analysis. The papers reflect a broad and diverse team of authors, including many young researchers from Australia, Bulgaria, China, the Czech Republic, Iran, Mexico, Poland, Portugal, Slovakia, South Korea and the UK.

Summary: This book constitutes the refereed proceedings of the 7th International Symposium on Intelligence Computation and Applications, ISICA 2015, held in Guangzhou, China, in November 2015. The 77 revised full papers presented were carefully reviewed and selected from 189 submissions. The papers feature the most up-to-date research in analysis and theory of evolutionary computation, neural network architectures and learning; neuro-dynamics and neuro-engineering; fuzzy logic and control; collective intelligence and hybrid systems; deep learning; knowledge discovery; learning and reasoning.

Summary: This book constitutes the refereed proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2015, held in Hyderabad, India, in December 2015. The 48 full papers and 8 short papers presented together with 4 doctoral consortium papers were carefully reviewed and selected from 185 submissions. The papers cover a wide range of topics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.

Summary: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

As digital devices play a more critical role in daily life than ever, more opportunities arise for innovative learning technologies--a trend on full display in the "Educational Media and Technology Yearbook for 2012." This latest edition, volume 37, from the Association for Education, Communication, and Technology (AECT) notes the most current trends in the field of learning design and technology, taking into account the implications for both formal and informal learning. The majority of articles train their focus on graduate and professional goals, including an analysis of doctoral programs in educational technology and new collaborative learning platforms. Library science is a featured component of this analysis and Library Science programs are featured prominently in this analysis. Mediagraphy and profiles of leaders in the field are also included. Part I, Trends and Issues in Learning, Design, and Technology, contains the following chapters: (1) Trends and Issues in Learning, Design, and Technology (Daisyane Barreto, Michael Orey); (2) Where is the "Design" in Instructional Design? The Role of Visual Aesthetics in the Field (Lori A. Brown, Linda L. Lohr, James E. Gall, Anna Ursyn); (3) Improving Learning and Performance in Diverse Contexts: The Role and Importance of Theoretical Diversity (Ray K. Haynes, Yonjoo Cho); (4) Trends and Issues: The Consumption and Sustainability of Digital Media in the Modern Global Economy (Gabrielle Garner); (5) Issues and Trends in Instructional Technology: Despite Lean Times, Continued Interest and Opportunity in K-12, Business, and Higher Education (Abbie Brown, Tim Green); (6) Introduction to the Qualitative Inquiry Award (Robert Maribe Branch); and (7) Social Capital Influences upon Internet Usage of Rural Guatemalan English Teachers (Douglas Tedford). Part II, Trends and Issues in Library Information Science, contains the following chapters: (8) Trends and Issues in Library and Information Science (Stephanie A. Jones); (9) From Paper to Pixel: The Promise and Challenges of Digital Textbooks for K-12 Schools (Marcia Mardis, Nancy Everhart); (10) Preparing Education Professionals for K-12 Online Learning Programs (Kathryn Kennedy, Dawn Tysinger, Carrie Bailey, Jason LaFrance); and (11) The Web 2.0 Connection: An Exploratory Study of School Library Services for Students with Autism Spectrum Disorders (Daniella Smith). Part III, Organizations and Associations in North America, provides the following chapters: (12) Organizations and Associations (Michael Orey); and (13) Educational Media and Technology Yearbook, 2012: Vol. 37. Organizations and Associations in the USA and Canada (Michael Orey). Part IV, Graduate Programs, contains the following: (14) Graduate Programs (Michael Orey); and (15) Organizations and Associations in the USA and Canada (Michael Orey). Part V, Mediagraphy: Print and Non-Print Resources, contains the following chapters: (16) Introduction (Jinn-Wei Tsao); and (17) Artificial Intelligence, Robotics, and Electronic Performance Support Systems (Jinn-Wei Tsao).

Readers will find several papers that address high-level issues in the use of technology in education, for example architecture and design frameworks for building online education materials or tools. Several other chapters report novel approaches to intelligent tutors or adaptive systems in educational settings. A number of chapters consider many roles for social computing in education, from simple computer-mediated communication support to more extensive community-building frameworks and tools. Finally, several chapters report state-of-the-art results in tools that can be used to assist educators in critical tasks such as content presentation and grading. This book contains the following chapters: (1) A Model of Project-Based Learning to Develop Information Systems Engineers and Managers through "Collaborative Management" Approach (Yoshiaki Matsuzawa and Hajime Ohiwa); (2) Educational Modelling Languages and Service-Oriented Learning Process Engines (Jorge Torres, Cesar Cardenas, Juan Manuel Dodero and Eduardo Juarez); (3) Multi-agent Architecture for Retrieving and Tailoring LOs in SCORM Compliant Distance Learning Environments (Pierpaolo Di Bitonto); (4) E-Testing Construction Support System with some Prediction Tools (Pokpong Songmuang and Maomi Ueno); (5) Adaptative Learning Environment for Geometry (Vanda Santos and Pedro Quaresma); (6) Personalized Learning Path Delivery (Hend Madhour and Maia Wentland Forte); (7) Advances in Artificial Intelligence to Model Student-Centred VLEs (Paulo Alves); (8) M-PLAT: Multi-Programming Language Adaptive Tutor (Alberto Nunez, Javier Fernandez and Jesus Carretero); (9) Adaptive and Collaborative Learning Using netUniversity, an Interoperable LMS/LCMS (Amir Benmimoun and Philippe Trigano); (10) wConnect: A Developmental Community for Women in Computer and Information Science (Mary Beth Rosson, John M. Carroll, Dejin Zhao and Hansa Sinha); (11) EduWiki: A Knowledge Construction System for Collaborative Learning (Tomoo Inoue and Naoko Yoshimura); (12) Realization of Swift and Expressive Chat in CSCL: Reach Project (Wataru Tsukahara, Shingo Akamatsu, Xin Wan and Toshio Okamoto); (13) Network of Schools as a Framework to Support E-Learning within Educational Communities (Virginija Limanauskiene, Vytautas Stuikys and Christoph Hornung); (14) Visual Analytics to Support E-learning (Diego Alonso Gomez Aguilar, Cristobal Suarez Guerrero, Roberto Theron Sanchez and Francisco Garcia Penalvo); (15) Informing Instructional Design Using Microgenetic Analysis of ICT-based Collaboration: A Misconceptions Perspective (Sofia Hadjileontiadou); (16) An Analysis Using Eye-Mark Recorder of the Effectiveness of Presentation Methods for E-learning (Masahiro Ando and Maomi Ueno); (17) Pedagogical Use of Automatic Graders (Isidoro Hernan-Losada, Cristobal Pareja-Flores and J. Angel Velazquez-Iturbide); and (18) An Item Response Theory for Peer Assessment (Maomi Ueno).

The nine articles in this collection were selected because they represent concerns central to computer science, emphasize topics of particular interest to mathematicians, and underscore the wide range of areas deeply and continually affected by computer science. The contents consist of: "Introduction" (S. V. Pollack), "The Development of Computer Science" (S. V. Pollack), "Programming Languages and Systems" (W. E. Ball), "Specifying Formal Languages" (R. V. Book), "Formal Analysis of Computer Programs" (T. W. Pratt), "Computational Complexity" (F. P. Preparata), "Computer Science and Artificial Intelligence" (J. R. Slagle), "The Impact of Computers on Numerical Analysis" (E. R. Buley and R. H. Pennington), "Computer Simulation" (M. Franklin), and "Computational Tools for Statistical Data Analysis" (C. F. Starmer). (MNS)

Reviews Dreyfus's writings about human cognition and artificial intelligence (AI), and explains some of the implications of his position, particularly in education. Topics include Dreyfus' critique of AI, representationlaism and expertise, technology and its role in instruction, computer-assisted instruction, and intelligent tutoring systems. (JKP)

This book contains a snapshot of state-of-the-art research on the design of automated instructional systems. Selected cognitive psychologists were asked to describe their approach to instruction and cognitive diagnosis, the theoretical basis of the approach, its utility and applicability, and the knowledge engineering or task analysis methods required to support it. The following papers are included: (1) "Automated Instruction as an Approach to Individualization" (J. Wesley Regian and Valerie J. Shute); (2) "Aptitude-Treatment Interactions and Cognitive Skill Diagnosis" (Valerie J. Shute); (3) "Possibilities for Assessment Using Computer-Based Apprenticeship Environments" (Alan Lesgold, Gary Eggan, Sandra Katz, and Govinda Rao); (4) "General Principles for an Intelligent Tutoring Architecture" (John R. Anderson, Albert T. Corbett, Jon M. Fincham, Donn Hoffman, and Ray Pelletier); (5) "Supporting Diverse Instructional Strategies in a Simulation-Oriented Training Environment" (Douglas M. Towne and Allen Munro); (6) "An Anchored Instruction Approach to Cognitive Skills Acquisition and Intelligent Tutoring" (Cognition and Technology Group, Vanderbilt University); (7) "The Application of Consistency Principles for the Assessment of Skill Development" (Arthur D. Fisk and Wendy A. Rogers); (8) "Modeling Student Performance in Diagnostic Tasks: A Decade of Evolution" (William B. Johnson and Jeffrey E. Norton); and (9) "The Use of On-Line Guidance, Representation Aiding, and Discovery Learning To Improve the Effectiveness of Simulation Training" (Kevin Bennett). (Contains 317 references.) (KRN)

With the realization that microcomputers provide an extraordinary value to the organization follows the need to address a variety of issues in order to more effectively manage these resources. Each of the 14 chapters, consisting of papers written by different authors, represents a different perspective existing in organizations with respect to the microcomputer resource. The chapters are organized into six categories: (1) microcomputer technology as a strategic resource; (2) managing microcomputer technology; (3) microcomputer technology and end users; (4) artificial intelligence and microcomputer technology; (5) microcomputer security and protection; and (6) microcomputer education and training. The titles include: "Managing the Use of Microcomputers as a Strategic Tool" (Larry Oliva and others); "Mapping the Corporate Microcomputer Strategy" (Lawrence Oliva); "A Methodology for Microcomputer Planning and Development" (Darold Klauk); "Critical Success Factors in the Integration of Microcomputer Technology into Expanding Organizations: Five Case Studies" (Elia Chepaitis); "Managing the Introduction of Information Systems Technology: The Case of Desktop Publishing as an Organization-Wide Resource" (Wallace A. Wood; Robert P. Behling); "Supporting End-User Application Development with the Information Transformation-Analysis-Management Model" (Karen Nantz); "A Framework for Addressing End-User Training Needs" Jane M. Mackay; Charles W. Lamb, Jr.); "An Architecture to Manage Artificial Intelligence Systems in a Microcomputer Environment" (Leopoldo Gemoets); "Software Selection: A Knowledge-Based System Approach" (D. G. Dologite); "Managing Microcomputer Security" (Kai S. Koong; H. Roland Weistroffer); "The Changing Environment of Software Copyright: The Case of Apple Computer v. Microsoft Corp." (Cherie S. Werbel; Phillip Werbel); "Disaster Preparedness for Microcomputer-Based CCBIS" (H. V. Ramakrishna; B. S. Vijayaraman); "Computers In Education and Training" (Henry W. Collier; Carl B. McGowan); and "Microcomputer Education: Are Institutions of Higher Learning Providing Effective Microcomputer Training to Future Business Leaders?" (John Lanasa). (MAS)

Summary: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19. .

Summary: Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. The second edition of this book will show you how to use the latest state-of-the-art frameworks in NLP, coupled with Machine Learning and Deep Learning to solve real-world case studies leveraging the power of Python. This edition has gone through a major revamp introducing several major changes and new topics based on the recent trends in NLP. We have a dedicated chapter around Python for NLP covering fundamentals on how to work with strings and text data along with introducing the current state-of-the-art open-source frameworks in NLP. We have a dedicated chapter on feature engineering representation methods for text data including both traditional statistical models and newer deep learning based embedding models. Techniques around parsing and processing text data have also been improved with some new methods. Considering popular NLP applications, for text classification, we also cover methods for tuning and improving our models. Text Summarization has gone through a major overhaul in the context of topic models where we showcase how to build, tune and interpret topic models in the context of an interest dataset on NIPS conference papers. Similarly, we cover text similarity techniques with a real-world example of movie recommenders. Sentiment Analysis is covered in-depth with both supervised and unsupervised techniques. We also cover both machine learning and deep learning models for supervised sentiment analysis. Semantic Analysis gets its own dedicated chapter where we also showcase how you can build your own Named Entity Recognition (NER) system from scratch. To conclude things, we also have a completely new chapter on the promised of Deep Learning for NLP where we also showcase a hands-on example on deep transfer learning. While the overall structure of the book remains the same, the entire code base, modules, and chapters will be updated to the latest Python 3.x release. ---------------------------------- Also the key selling points ? Implementations are based on Python 3.x and state-of-the-art popular open source libraries in NLP ? Covers Machine Learning and Deep Learning for Advanced Text Analytics and NLP ? Showcases diverse NLP applications including Classification, Clustering, Similarity Recommenders, Topic Models, Sentiment and Semantic Analysis.

Summary: Dive headfirst into Microsofts Computer Vision APIs through sample-driven scenarios! Imagine an app that describes to the visually impaired the objects around them, or reads the Sunday paper, a favorite magazine, or a street sign. Or an app that is capable of monitoring what is happening inside an area without human control, and then makes a decision based on interpreting an occurrence detected with a live camera. This book teaches developers Microsoft's Computer Vision APIs, a service capable of understanding and interpreting the content of any image. Author Del Sole begins by providing a succinct need to knowoverview of the service with descriptions. You then learn from hands-on demonstrations that show how basic C# code examples can be re-used across platforms. From there you will be guided through two different kinds of applications that interact with the service in two different ways: the more common means of calling a REST service to get back JSON data, and via the .NET libraries that Microsoft has been building to simplify the job (this latter one with Xamarin).רat Youll Learn Understand AIs role and how devices and applications use sophisticated algorithms to improve peoples lives and business tasks. Analyze images for Optical Character Recognition to detect written words and sentences Think about the next-generation applications in relation to your customersneeds Get up-to-speed on the latest version of the Computer Vision service, which now comes through Azure Set up an Azure subscription in order to access the Cognitive Services within the portal After reading this book, you will be able to get started with AI services from Microsoft in order to begin building powerful new apps for your company or customers.רo This Book Is Forĥvelopers just getting familiar with artificial intelligence. A minimal knowledge of C# is required.

Summary: This book is an edited collection of chapters based on the papers presented at the conference "Beyond AI: Artificial Dreams" held in Pilsen in November 2012. The aim of the conference was to question deep-rooted ideas of artificial intelligence and cast critical reflection on methods standing at its foundations. Artificial Dreams epitomize our controversial quest for non-biological intelligence, and therefore the contributors of this book tried to fully exploit such a controversy in their respective chapters, which resulted in an interdisciplinary dialogue between experts from engineering, natural sciences and humanities. While pursuing the Artificial Dreams, it has become clear that it is still more and more difficult to draw a clear divide between human and machine. And therefore this book tries to portrait such an image of what lies beyond artificial intelligence: we can see the disappearing human-machine divide, a very important phenomenon of nowadays technological society, the phenomenon which is often uncritically praised, or hypocritically condemned. And so this phenomenon found its place in the subtitle of the whole volume as well as in the title of the chapter of Kevin Warwick, one of the keynote speakers at "Beyond AI: Artificial Dreams". .

Summary: This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.

It is always the focus of researchers΄ attention to endow the robot with the emotion similar to human in human robot interaction. This paper present an artificial affective model based on Hidden Markov Model (HMM). It can achieve the transfer of several affective states under some basic hypothesis and restriction. The paper also shows some simulation results of affective states change. It is the basis for architecture in support of interactive robot. Then the paper explains the technical route of playmate robot for children in detail. The robot can behave like a human child and attempt daily communication with human supported by the affective model and these technologies. [ABSTRACT FROM AUTHOR]

Summary: The purpose of the 12th Conference Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2011) held on July 6-8, 2011 in Sydney, Australia was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. ¡ The conference organizers selected 14 outstanding papers from SNPD 2011, all of which you will find in this volume of Springer{u2019}s Studies in Computational Intelligence.

The first section of this paper deals with the attempts within the framework of transformational grammar to make semantics a systematic part of linguistic description, and outlines the characteristics of the generative semantics position. The second section takes a critical look at generative semantics in its later manifestations, and makes a case against this position on the basis of its treatment of presupposition. The attempt to include presupposition, in a broad sense, in a grammatical system leads to a situation where grammar breaks down. It is possible to redefine grammar in such a way that it can correct tentative assumptions, but this would be the definition of a design criterion for an artificial intelligence (AI) system, in which the aim is to understand the sentence, and grammaticality is at best of secondary importance. A general conclusion is that the demand that grammar should take into account not only well-formedness and semantic acceptability but also all possible aspects of the context of use of a sentence renders the production of a grammar in a normal sense impossible; but it does provide an intelligible and coherent basis for work within the paradigm of artificial intelligence. (AM)