Measuring and Visualizing Learning in the Information-Rich Classroom

1. Auflage 2015
ISBN: 978-1-138-02113-6
Verlag: Routledge

Buch, Englisch, 278 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 503 g

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.

Autoren/Hrsg.

Reimann, Peter

Bull, Susan

Kickmeier-Rust, Michael

Vatrapu, Ravi

Wasson, Barbara

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Pädagogik Pädagogische Psychologie

Inhaltsverzeichnis

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

Über Autor(innen)

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.