Author: Lanqin Zheng
Publisher: Springer Nature
ISBN: 981161718X
Category : Education
Languages : en
Pages : 162
Book Description
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design collaborative learning activities based on data-driven design approaches, while the second shares illustrative examples of computer-supported collaborative learning activities. In turn, the third and last section demonstrates how to evaluate design quality and the fidelity of enactment based on design-centered research. The book features several examples of innovative data-driven design approaches to optimizing collaborative learning activities; highlights innovative CSCL activities in authentic learning environments; demonstrates how learning analytics can be used to optimize CSCL design; and discusses the design-centered research approach to evaluating the alignment between design and enactment in CSCL. Given its scope, it will be of interest to a broad readership including researchers, educators, practitioners, and students in the field of collaborative learning, as well as the rapidly growing community of people who are interested in optimizing learning performance with CSCL.
Data-Driven Design for Computer-Supported Collaborative Learning
Author: Lanqin Zheng
Publisher: Springer Nature
ISBN: 981161718X
Category : Education
Languages : en
Pages : 162
Book Description
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design collaborative learning activities based on data-driven design approaches, while the second shares illustrative examples of computer-supported collaborative learning activities. In turn, the third and last section demonstrates how to evaluate design quality and the fidelity of enactment based on design-centered research. The book features several examples of innovative data-driven design approaches to optimizing collaborative learning activities; highlights innovative CSCL activities in authentic learning environments; demonstrates how learning analytics can be used to optimize CSCL design; and discusses the design-centered research approach to evaluating the alignment between design and enactment in CSCL. Given its scope, it will be of interest to a broad readership including researchers, educators, practitioners, and students in the field of collaborative learning, as well as the rapidly growing community of people who are interested in optimizing learning performance with CSCL.
Publisher: Springer Nature
ISBN: 981161718X
Category : Education
Languages : en
Pages : 162
Book Description
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design collaborative learning activities based on data-driven design approaches, while the second shares illustrative examples of computer-supported collaborative learning activities. In turn, the third and last section demonstrates how to evaluate design quality and the fidelity of enactment based on design-centered research. The book features several examples of innovative data-driven design approaches to optimizing collaborative learning activities; highlights innovative CSCL activities in authentic learning environments; demonstrates how learning analytics can be used to optimize CSCL design; and discusses the design-centered research approach to evaluating the alignment between design and enactment in CSCL. Given its scope, it will be of interest to a broad readership including researchers, educators, practitioners, and students in the field of collaborative learning, as well as the rapidly growing community of people who are interested in optimizing learning performance with CSCL.
Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning
Author: Queirós, Ricardo
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 394
Book Description
The education sector faces unprecedented challenges, from rapidly evolving technologies to diverse learner needs, placing immense pressure on educators to adapt and innovate. Traditional teaching methods need help to keep pace with the demands of modern education, leading to gaps in personalized learning and student engagement. Ethical concerns surrounding AI integration in education remain a significant hurdle, requiring careful navigation and responsible implementation. Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning offers a comprehensive solution by exploring how AI can address these challenges and revolutionize education. Through a collection of insightful contributions, it provides practical strategies for integrating AI into teaching practices, empowering educators to personalize learning experiences and enhance student engagement. By examining AI ethics and responsible education, the book equips educators with the knowledge needed to navigate the ethical complexities of AI integration.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 394
Book Description
The education sector faces unprecedented challenges, from rapidly evolving technologies to diverse learner needs, placing immense pressure on educators to adapt and innovate. Traditional teaching methods need help to keep pace with the demands of modern education, leading to gaps in personalized learning and student engagement. Ethical concerns surrounding AI integration in education remain a significant hurdle, requiring careful navigation and responsible implementation. Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning offers a comprehensive solution by exploring how AI can address these challenges and revolutionize education. Through a collection of insightful contributions, it provides practical strategies for integrating AI into teaching practices, empowering educators to personalize learning experiences and enhance student engagement. By examining AI ethics and responsible education, the book equips educators with the knowledge needed to navigate the ethical complexities of AI integration.
Data Driven Approaches in Digital Education
Author: Élise Lavoué
Publisher: Springer
ISBN: 331966610X
Category : Education
Languages : en
Pages : 635
Book Description
This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.
Publisher: Springer
ISBN: 331966610X
Category : Education
Languages : en
Pages : 635
Book Description
This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.
Creativity, innovation and entrepreneurship: the learning science towards higher order abilities
Author: Zehui Zhan
Publisher: Frontiers Media SA
ISBN: 2832510310
Category : Science
Languages : en
Pages : 366
Book Description
Publisher: Frontiers Media SA
ISBN: 2832510310
Category : Science
Languages : en
Pages : 366
Book Description
Transforming Literacies and Language
Author: Caroline M. L. Ho
Publisher: A&C Black
ISBN: 1441123911
Category : Language Arts & Disciplines
Languages : en
Pages : 262
Book Description
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Publisher: A&C Black
ISBN: 1441123911
Category : Language Arts & Disciplines
Languages : en
Pages : 262
Book Description
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Productive Multivocality in the Analysis of Group Interactions
Author: Daniel D. Suthers
Publisher: Springer Science & Business Media
ISBN: 1461489601
Category : Education
Languages : en
Pages : 719
Book Description
The key idea of the book is that scientific and practical advances can be obtained if researchers working in traditions that have been assumed to be mutually incompatible make a real effort to engage in dialogue with each other, comparing and contrasting their understandings of a given phenomenon and how these different understandings can either complement or mutually elaborate on each other. This key idea applies to many fields, particularly in the social and behavioral sciences, as well as education and computer science. The book shows how we have achieved this by presenting our study of collaborative learning during the course of a four-year project. Through a series of five workshops involving dozens of researchers, the 37 editors and authors involved in this project studied and reported on collaborative learning, technology enhanced learning, and cooperative work. The authors share an interest in understanding group interactions, but approach this topic from a variety of traditional disciplinary homes and theoretical and methodological traditions. This allows the book to be of use to researchers in many different fields and with many different goals and agendas.
Publisher: Springer Science & Business Media
ISBN: 1461489601
Category : Education
Languages : en
Pages : 719
Book Description
The key idea of the book is that scientific and practical advances can be obtained if researchers working in traditions that have been assumed to be mutually incompatible make a real effort to engage in dialogue with each other, comparing and contrasting their understandings of a given phenomenon and how these different understandings can either complement or mutually elaborate on each other. This key idea applies to many fields, particularly in the social and behavioral sciences, as well as education and computer science. The book shows how we have achieved this by presenting our study of collaborative learning during the course of a four-year project. Through a series of five workshops involving dozens of researchers, the 37 editors and authors involved in this project studied and reported on collaborative learning, technology enhanced learning, and cooperative work. The authors share an interest in understanding group interactions, but approach this topic from a variety of traditional disciplinary homes and theoretical and methodological traditions. This allows the book to be of use to researchers in many different fields and with many different goals and agendas.
Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support
Author: Fatima Dargam
Publisher: Springer
ISBN: 3319903152
Category : Computers
Languages : en
Pages : 200
Book Description
This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems’ technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.
Publisher: Springer
ISBN: 3319903152
Category : Computers
Languages : en
Pages : 200
Book Description
This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems’ technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.
Grand Research Challenges in Games and Entertainment Computing in Brazil - GranDGamesBR 2020–2030
Author: Rodrigo Pereira dos Santos
Publisher: Springer Nature
ISBN: 3031276396
Category : Computers
Languages : en
Pages : 285
Book Description
This book constitutes selected papers presented during the two events: the First Forum, GranDGamesBR 2020, held in Recife, Brazil, in November 2020, and the Second Forum, GranDGamesBR 2021, held in Gramado, Brazi, in October 2021. The 12 papers presented were thoroughly reviewed and selected from 24 submissions. The topics included in this volume cover the following fields connected to games and entertainment computing: game design, educational games, games evaluation, game-based learning, player experience, human-computer interaction, games industry, business models, game software ecosystems, ethics, serious games, cyberdemocracy, emotional design, computer graphics, cognitive simulation, immersive entertainment, virtual/augmented/extended reality, gamification, and creative process.
Publisher: Springer Nature
ISBN: 3031276396
Category : Computers
Languages : en
Pages : 285
Book Description
This book constitutes selected papers presented during the two events: the First Forum, GranDGamesBR 2020, held in Recife, Brazil, in November 2020, and the Second Forum, GranDGamesBR 2021, held in Gramado, Brazi, in October 2021. The 12 papers presented were thoroughly reviewed and selected from 24 submissions. The topics included in this volume cover the following fields connected to games and entertainment computing: game design, educational games, games evaluation, game-based learning, player experience, human-computer interaction, games industry, business models, game software ecosystems, ethics, serious games, cyberdemocracy, emotional design, computer graphics, cognitive simulation, immersive entertainment, virtual/augmented/extended reality, gamification, and creative process.
Data Cultures in Higher Education
Author: Juliana E. Raffaghelli
Publisher: Springer Nature
ISBN: 3031241932
Category : Education
Languages : en
Pages : 389
Book Description
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and “formae mentis” to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with data. Notably, the book spots data practices within the two most relevant sides of academics’ professional practice, namely, research and teaching. Hence, the collection seeks to reflect on faculty’s professional learning about data infrastructures and practices. The book draws on a range of studies covering the higher education response to the several facets of data in society, from data surveillance and the algorithmic control of human behaviour to empowerment through the use of open data. The research reported ranges from literature overviews to multi-case and in-depth case studies illustrating institutional and educational responses to different problems connected to data. The ultimate intention is to provide conceptual bases and practical examples relating to universities’ faculty development policies to overcome data practices and discourses' fragmentation and contradictions: in a nutshell, to build “fair data cultures” in higher education.
Publisher: Springer Nature
ISBN: 3031241932
Category : Education
Languages : en
Pages : 389
Book Description
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and “formae mentis” to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with data. Notably, the book spots data practices within the two most relevant sides of academics’ professional practice, namely, research and teaching. Hence, the collection seeks to reflect on faculty’s professional learning about data infrastructures and practices. The book draws on a range of studies covering the higher education response to the several facets of data in society, from data surveillance and the algorithmic control of human behaviour to empowerment through the use of open data. The research reported ranges from literature overviews to multi-case and in-depth case studies illustrating institutional and educational responses to different problems connected to data. The ultimate intention is to provide conceptual bases and practical examples relating to universities’ faculty development policies to overcome data practices and discourses' fragmentation and contradictions: in a nutshell, to build “fair data cultures” in higher education.
Instructional Design with Emerging Technologies
Author: Heng Luo
Publisher: Taylor & Francis
ISBN: 1040222374
Category : Education
Languages : en
Pages : 221
Book Description
Bridging the gap between instructional design (ID) theory and practice in today's technology-enhanced learning environments, the book extends the current understanding of instructional science with an up-to-date perspective on emerging technologies and their affordances for teaching and learning. Positioning ID as a systematic process informed by theoretical assumptions, empirical evidence, and pragmatic considerations, this book provides an in-depth description and reflective analysis of good practice in technology-enhanced learning and design with a tripartite framework of pedagogy, technology, and evidence. It covers well-established ID theories and models with real-life examples of their effective integration with technological innovations. The book aims to advance the understanding of ID from both pedagogical and technological perspectives to improve educational practice and theory development in the information age. The book will be of interest to students and academics in educational technology, instructional science, and instructional design, as well as instructional designers and teachers.
Publisher: Taylor & Francis
ISBN: 1040222374
Category : Education
Languages : en
Pages : 221
Book Description
Bridging the gap between instructional design (ID) theory and practice in today's technology-enhanced learning environments, the book extends the current understanding of instructional science with an up-to-date perspective on emerging technologies and their affordances for teaching and learning. Positioning ID as a systematic process informed by theoretical assumptions, empirical evidence, and pragmatic considerations, this book provides an in-depth description and reflective analysis of good practice in technology-enhanced learning and design with a tripartite framework of pedagogy, technology, and evidence. It covers well-established ID theories and models with real-life examples of their effective integration with technological innovations. The book aims to advance the understanding of ID from both pedagogical and technological perspectives to improve educational practice and theory development in the information age. The book will be of interest to students and academics in educational technology, instructional science, and instructional design, as well as instructional designers and teachers.