Measuring and visualizing learning in the information-rich classroom

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.

Infrastructures for Improving Learning in Information-Rich Classrooms / Jeremy Roschelle and Andrew Krumm -- Influencing Cognitive Density and Enhancing Classroom Orchestration / Carmen Biel, Gabriele Cierniak, Matthew D. Johnson, Susan Bull, and Friedrich W. Hesse -- The Promise and Potential of e-assessment for Learning / Eric Ras, Denise Whitelock, and Marco Kalz -- Learning Analytics : How can Data be Used to Improve Learning Practice? / Abelardo Pardo and Shane Dawson -- Data Literacy and Use for Teaching / Barbara Wasson and Cecilie Hansen -- Teacher Inquiry into Students' Learning : Researching Pedagogical Innovations / Rosemary Luckin, Cecilie Hansen, Barbara Wasson, Wilma Clark, Katerina Avramides, Jade Hunter, and Martin Oliver -- Designing Authentic Assessments in Higher Education / Peter Reimann and Maryam Khosronejad -- Competence-based Knowledge Space Theory : Options for the 21st Century Classroom / Michael D. Kickmeier-Rust and Dietrich Albert -- Repertory Grids for Formative Assessment : Concept, Method, Tool and Findings / Ravi Vatrapu -- Tracking and Assessing Students' Learning Strategies in Model-based Learning Environments / Lina Markauskaite and Michael Jaco…