Computational Intelligence In Digital Pedagogy
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Computational Intelligence In Digital Pedagogy
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Author : Arpan Deyasi
language : en
Publisher: Springer Nature
Release Date : 2020-11-19
Computational Intelligence In Digital Pedagogy written by Arpan Deyasi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Technology & Engineering categories.
This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnostic and feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applications on various sectors of education system.
Artificial Intelligence And Inclusive Education
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Author : Jeremy Knox
language : en
Publisher: Springer
Release Date : 2019-06-13
Artificial Intelligence And Inclusive Education written by Jeremy Knox and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with Education categories.
This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.
Big Data In Education
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Author : Ben Williamson
language : en
Publisher: SAGE
Release Date : 2017-07-24
Big Data In Education written by Ben Williamson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-24 with Education categories.
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
Human Learning In The Digital Era
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Author : Netexplo (France)
language : en
Publisher: UNESCO Publishing
Release Date : 2019-04-17
Human Learning In The Digital Era written by Netexplo (France) and has been published by UNESCO Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-17 with categories.
Intelligent Support For Computer Science Education
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Author : Barbara Di Eugenio
language : en
Publisher: CRC Press
Release Date : 2021-09-22
Intelligent Support For Computer Science Education written by Barbara Di Eugenio and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-22 with Computers categories.
Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.
Computational Psychometrics New Methodologies For A New Generation Of Digital Learning And Assessment
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Author : Alina A. von Davier
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Computational Psychometrics New Methodologies For A New Generation Of Digital Learning And Assessment written by Alina A. von Davier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Education categories.
This book defines and describes a new discipline, named “computational psychometrics,” from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners’ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks. Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term “computational” has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, “computational” has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community. In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.
Digital Pedagogy In The 21st Century Emerging Technologies In Foreign Language Classrooms
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Author : Serpil UÇAR
language : en
Publisher: Efe Akademi Yayınları
Release Date : 2023-09-21
Digital Pedagogy In The 21st Century Emerging Technologies In Foreign Language Classrooms written by Serpil UÇAR and has been published by Efe Akademi Yayınları this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-21 with Social Science categories.
CONTENTS A BRIEF HISTORY OF COMPUTER-ASSISTED LANGUAGE LEARNING (CALL) Yeliz YAZICI DEMİR APPLICATIONS OF ARTIFICIAL INTELLIGENCE (AI) IN EFL CLASSROOMS Gülşah TIKIZ-ERTÜRK, Havva KURT-TAŞPINAR FOREIGN LANGUAGE TEACHING IN VIRTUAL CLASSROOMS Gönül ERGEN, Ertuğ CAN THE USE OF TECHNOLOGY IN ENHANCING INTERACTIONAL (LISTENING & SPEAKING) SKILLS IN EFL CLASSROOMS Ali REZALOU USING DIGITAL GAMES IN LANGUAGE TEACHING Sibel KARABEKMEZ USING SOCIAL NETWORK SITES IN EFL CLASSROOMS Havva KURT-TAŞPINAR, Gülşah TIKIZ-ERTÜRK BLOGGING IN ELT Serpil UÇAR USING CORPORA IN LANGUAGE LEARNING Tuğba ŞİMŞEK-RACKELMANN TEACHER ROLES IN ICT-SUPPORTED FOREIGN LANGUAGE TEACHING Orhan YİĞİTOĞLU THE USE OF WEB 2.0 TECHNOLOGIES IN FOREIGN LANGUAGE LEARNING: OPPORTUNITIES AND BARRIERS Haticetül Kübra ER, Büşra DAĞDEMİR, Emel KÜÇÜKALİ ENHANCING READING AND WRITING SKILLS THROUGH TECHNOLOGY IN EFL CLASSROOMS Burcu TURHAN INTEGRATING TECHNOLOGY IN ESP CLASSROOMS Miray VAROL, Volkan VAROL FLIPPED CLASSROOM MODEL FOR INNOVATIVE TEACHING AND LEARNING IN EFL Orhan YİĞİTOĞLU, Yavuz ERİŞEN
Digital Education Pedagogy
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Author : Souvik Pal
language : en
Publisher: CRC Press
Release Date : 2020-12-08
Digital Education Pedagogy written by Souvik Pal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Business & Economics categories.
This volume brings together advanced concepts from leading academic scientists, educationalists, administrative policymakers, and researchers on their experiences and research results on many aspects of digital educational methods and teaching practices. It provides an interdisciplinary compilation of recent innovations, trends, and concerns as well as the challenges encountered and solutions adopted in the fields of digital pedagogies and educational design. It is becoming increasingly important to develop adaptive, robust, scalable, and digital teaching-learning mechanisms in academics. This volume addresses this need by discussing the advancements in flipped and blended learning, student- and teacher-centric learning in technical institutes, critical digital pedagogies, and the complex analyses and collaborations with organizations outside the academy. This book also deals with protocols for educational and administrative policies, IoT-based teaching-learning methodology, teaching education and the process of assessment, testing and evaluation, integration of technology with digital education, and different case study-based approaches in digital teaching-learning methodology.
Emerging Technologies And Pedagogies In The Curriculum
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Author : Shengquan Yu
language : en
Publisher: Springer Nature
Release Date : 2020-01-03
Emerging Technologies And Pedagogies In The Curriculum written by Shengquan Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Education categories.
This book explores the technologies that can be used in curricula to make education “smarter” and more adaptive in order to better meet the needs of today’s learners. The main emphasis is based on the theory and best practices of incorporating emerging technologies into curricula so as to educate learners in the 21st century. The book provides valuable insights into the future of education and examines which pedagogies are most suitable for integrating emerging technologies. It will help educators and stakeholders design and implement curricula that effectively prepare learners for the challenges of tomorrow.
Computational Intelligence For Technology Enhanced Learning
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Author : Fatos Xhafa
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-02-18
Computational Intelligence For Technology Enhanced Learning written by Fatos Xhafa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-18 with Mathematics categories.
E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.