Measuring and Visualizing Learning in the Information-Rich Classroom (eBook, PDF)

Redaktion: Reimann, Peter; Wasson, Barbara; Vatrapu, Ravi; Kickmeier-Rust, Michael; Bull, Susan

• Format: PDF

Produktbeschreibung

Integrated information systems are increasingly used in schools, and the advent of the technology-rich classroom requires a new degree of ongoing classroom assessment. Able to track web searches, resources used, 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, for instance. 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 learning technology experts, and 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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 278
• Erscheinungstermin: 19. November 2015
• Englisch
• ISBN-13: 9781317695080
• Artikelnr.: 49354305

Autorenporträt

Peter Reimann is a Professor for Education at the University of Sydney, Australia, and Senior Researcher in that university's 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.

Inhaltsangabe

Contents
Preface
Introduction
Section 1: Concepts and Research
1. Infrastructures for Improving Learning in Information-Rich Classrooms
Jeremy Roschelle and Andrew Krumm
2. Influencing Cognitive Density and Enhancing Classroom Orchestration
Carmen Biel, Gabriele Ciernak, Matthew D. Johnson, Susan Bull, and
Friedrich W. Hesse
3. The Promise and Potential of e-assessment for Learning
Eric Ras, Denise Whitelock, and Marco Kalz
4. Learning Analytics. How can Data be Used to Improve Learning Practice?
Abelardo Pardo and Shane Dawson
5. Data Literacy and Use for Teaching
Barbara Wasson and Cecilie Hansen
6. Teacher Inquiry into Students' Learning: Researching Pedagogical
Innovations
Rosemary Luckin, Cecile Hansen, Barbara Wasson, Wilma Clark, Katerina
Avramides, Jade Hunter, and Martin Oliver
7. Designing Authentic Assessments in Higher Education
Peter Reimann and Maryam Khosronejad
Section 2: Methods for Measuring Learning
8. Competence-based Knowledge Space Theory: Options for the 21st Century
Classroom
Michael D. Kickmeier-Rust and Dietrich Albert
9. Repertory Grids for Formative Assessment: Concept, Method, Tool and
Findings
Ravi Vatrapu
10. Tracking and Assessing Students' Learning Strategies in Model-based
Learning Environments
Lina Markauskaite and Michael Jacobson
11. Formative Assessment of Computer-supported Collaborative Learning and
Knowledge Building
Jan van Aalst, Jin Mu, and Yuqin Yang
12. Integrating and Visualising Diagnostic Information for the Benefit of
Learning
Susan Bull, Matthew D. Johnson, Drew Masci, and Carmen Biel
Section 3: Technology
13. Planning for Integration: A Meta-Modelling Approach using ADOxx
Wilfrid Utz, Robert Woitsch, and Zbigniew Misiak
14. Competence diagnostics, activity tracking, and evidence-based visual
feedback: Visions vs. school realities
Michael Kickmeier-Rust, Klaus Hammermuller, Kolja Debus, Gerhilde
Meissl-Egghart, and Carmen Biel
15. Storing and sharing student learning data with e-portfolios
Fabrizio Giorgini and Roland Unterberger
16. Designing for Visualisation of Formative Information on Learning
Matthew D. Johnson and Susan Bull