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E-grāmata: Measuring and Visualizing Learning in the Information-Rich Classroom

Edited by (Copenhagen Business School, Denmark), Edited by (University of Sydney, Australia), Edited by (Knowledge Technologies Institute, Austria), Edited by (University of Bergen, Norway), Edited by (University of Birmingham, UK)
  • Formāts: 278 pages
  • Izdošanas datums: 19-Nov-2015
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9781317695073
  • Formāts - EPUB+DRM
  • Cena: 66,36 €*
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  • Formāts: 278 pages
  • Izdošanas datums: 19-Nov-2015
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9781317695073

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Integrated information systems are increasingly used in schools, and the advent of the technology-rich classroom facilitates and, often, requires a new degree of ongoing classroom assessment. Able to track web searches, resources use, task completion time and a variety of other classroom behaviors, technology-rich classrooms offer a wealth of potential information about teaching and learning. This information can be used to track student progress in languages, STEM, and in 21st century skills.However, despite these changes there has been little change in the kind of data made available to teachers, administrators, students, and parents.Measuring and Visualizing Learning in the Information-Rich Classroom collects research on the implementation of classroom assessment techniques in technology-enhanced learning environments. Building on research conducted by a multinational and multidisciplinary team of European learning technology experts, and by specialists from around the globe, this book addresses these discrepancies. With contributions from major researchers in education technology, testing and assessment, and education psychology, this book contributes to a holistic approach for building the information infrastructure of the 21st Century school.
Preface vii
Introduction ix
PART 1 Concepts and Research
1(106)
1 Infrastructures for Improving Learning in Information-Rich Classrooms
3(8)
Jeremy Roschelle
Andrew Krumm
2 Influencing Cognitive Density and Enhancing Classroom Orchestration
11(10)
Carmen Biel
Gabriele Cierniak
Matthew D. Johnson
Susan Bull
Friedrich W. Hesse
3 The Promise and Potential of E-Assessment for Learning
21(20)
Eric Ras
Denise Whitelock
Marco Kalz
4 Learning Analytics: How Can Data Be Used to Improve Learning Practice?
41(15)
Abelardo Pardo
Shane Dawson
5 Data Literacy and Use for Teaching
56(18)
Barbara Wasson
Cecilie Hansen
6 Teacher Inquiry into Students' Learning: Researching Pedagogical Innovations
74(18)
Rosemary Luckin
Cecilie Hansen
Barbara Wasson
Wilma Clark
Katerina Avramides
Jade Hunter
Martin Oliver
7 Designing Authentic Assessments in Higher Education
92(15)
Peter Reimann
Maryam Khosronejad
PART 2 Methods for Measuring Learning
107(74)
8 Competence-Based Knowledge Space Theory: Options for the 21st Century Classroom
109(12)
Michael D. Kickmeier-Rust
Dietrich Albert
9 Repertory Grids for Formative Assessment: Concept, Method, Tools, and Findings
121(16)
Ravi Vatrapu
Peter Reimann
Abid Hussain
Kostas Pantazos
10 Tracking and Assessing Students' Learning Strategies in Model-Based Learning Environments
137(17)
Lina Markauskaite
Michael J. Jacobson
11 Formative Assessment of Computer-Supported Collaborative Learning and Knowledge Building
154(13)
Jan van Aalst
Jin Mu
Yuqin Yang
12 Integrating and Visualising Diagnostic Information for the Benefit of Learning
167(14)
Susan Bull
Matthew D. Johnson
Drew Masci
Carmen Biel
PART 3 Technology
181(54)
13 Planning for Integration: A Meta-Modelling Approach Using ADOxx
183(13)
Wilfrid Utz
Robert Woitsch
Zbigniew Misiak
14 Competence Diagnostics, Activity Tracking and Evidence-Based, Visual Feedback: Visions vs. School Realities
196(13)
Michael D. Kickmeier-Rust
Klaus Hammermuller
Kolja Debus
Gerhilde Meissl-Egghart
Carmen Biel
15 Storing and Sharing Student Learning Data with e-Portfolios
209(12)
Fabrizio Giorgini
Roland Unterberger
16 Designing for Visualisation of Formative Information on Learning
221(14)
Matthew D. Johnson
Susan Bull
About the Contributors 235(8)
Index 243
Peter Reimann is a Professor for Education at the University of Sydney, Australia, and Senior Researcher in that universitys Research Centre for Computer-supported Learning and Cognition (CoCo).

Susan Bull is Senior Lecturer of Electronic, Electrical, and Computer Engineering at University of Birmingham, UK.

Michael D. Kickmeier-Rust is a Senior Researcher and Project Director at the Cognitive Science Section of the Knowledge Technologies Institute at Graz University of Technology and University Lecturer at the Department of Psychology at Karl-Franzens-University of Graz, Austria.

Ravi Vatrapu is a Professor of Human Computer Interaction at the Department of IT Management, Copenhagen Business School; Professor of applied computing, Westerdals Oslo School of Arts, Communication and Technology; and Director of the Computational Social Science Laboratory (CSSL).

Barbara Wasson is Professor in the Department of Information Science & Media Studies and Director of the Centre for the Science of Learning and Technology (SLATE) at University of Bergen, and Research Leader at Uni Research Health AS.