Measuring and Visualizing Learning in the Information Rich Classroom

Measuring and Visualizing Learning in the Information Rich Classroom

Library of Congress Cataloging-in-Publication Data Names: Reimann, Peter, editor of compilation. Title: Measuring and visualizing learning in the information-rich classroom / Peter Reimann, Susan Bull, Michael Kickmeier-Rust, ...

Author: Peter Reimann

Publisher: Routledge

ISBN: 9781317695073

Category: Education

Page: 262

View: 961

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.
Categories: Education

Measuring and Visualizing Learning in the Information Rich Classroom

Measuring and Visualizing Learning in the Information Rich Classroom

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.

Author: Peter Reimann

Publisher: Routledge

ISBN: 9781317695080

Category: Education

Page: 262

View: 427

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.
Categories: Education

Learning Analytics Explained

Learning Analytics Explained

Interpreting visualisations also requires knowing the pedagogical context, the learning design and the goals of the ... In: Reimann, P. et al., eds, Measuring and Visualizing Learning in the Information-Rich Classroom, Routledge, pp.

Author: Niall Sclater

Publisher: Taylor & Francis

ISBN: 9781317394563

Category: Education

Page: 278

View: 392

Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.
Categories: Education

Learning Analytics in the Classroom

Learning Analytics in the Classroom

Measuring and visualizing learning in the information-rich classroom. Abingdon, UK:Routledge. Rogers, E. M. (2003). Diffusion of innovations, 5th edition. New York: Free Press. Siemens, G., & Baker, R. S. (2012). Learning analytics and ...

Author: Jason M. Lodge

Publisher: Routledge

ISBN: 9781351113014

Category: Education

Page: 320

View: 263

From Data and Analytics to the Classroom presents a coherent framework for useful translation of learning analytics research for educational practice with world-leading researchers in the use of data and analytics in education applying this framework to a number of different educational domains. The aim is to provide concrete ways to apply data and analytics to everyday educational practice. Thi book serves not only as a practical tool, but also as an instructional guide for educators. Through discussion and illustration it provides educators and researchers alike with the proper tools and frameworks to effectively make sense of and use data and analytics in their everyday practice.
Categories: Education

Visualizations and Dashboards for Learning Analytics

Visualizations and Dashboards for Learning Analytics

IEEE Transactions on Learning Technologies, 8(2), 201–214. Pardo, A., & Dawson, S. (2016). Measuring and visualizing learning in the information-rich classroom. In P. Reimann (Ed.), Learning analytics. (41–55p). Routledge.

Author: Muhittin Sahin

Publisher: Springer Nature

ISBN: 9783030812225

Category: Education

Page: 611

View: 349

This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.
Categories: Education

Adoption of Data Analytics in Higher Education Learning and Teaching

Adoption of Data Analytics in Higher Education Learning and Teaching

In P. Reimann (Ed.), Measuring and visualizing learning in the information-rich classroom (pp. 41–55). Abingdon, UK: Routledge. Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners' decision to drop out or persist in ...

Author: Dirk Ifenthaler

Publisher: Springer Nature

ISBN: 9783030473921

Category: Education

Page: 434

View: 918

The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. This volume provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analytics, (b) technological infrastructure and staff capabilities required, as well as (c) case studies that describe current practices and experiences in the use of data analytics in higher education.
Categories: Education

Lifelong Technology Enhanced Learning

Lifelong Technology Enhanced Learning

Measuring and Visualizing Learning in the Information-Rich Classroom, p. 167. Routledge, Abingdon (2015) Bull, S., Dong, X., Britland, M., Guo, Yu.: Can students edit their learner model appropriately? In: Woolf, Beverley P., Aïmeur, ...

Author: Viktoria Pammer-Schindler

Publisher: Springer

ISBN: 9783319985725

Category: Education

Page: 667

View: 750

This book constitutes the proceedings of the 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, held in Leeds, UK, in September 2018. The 42 full and short papers, 7 demo papers, and 23 poster papers presented in this volume were carefully reviewed and selected from 142 submissions. This year, the European Conference on Technology-Enhanced Learning (EC-TEL) will engage researchers, practitioners, educational developers, entrepreneurs and policy makers in a joint discussion on how to put science, technology and practice at the service of learning to embrace these challenges on the topic: Lifelong technology enhanced learning: Dealing with the complexity of 21st century challenges. /div Chapter "" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Categories: Education

The Foundational Handbook on Improvement Research in Education

The Foundational Handbook on Improvement Research in Education

(Eds.), Measuring and visualizing learning in the information- rich classroom (pp. 3–9). Routledge. Scoville, R., & Little, K. (2014). Comparing lean and quality improvement (IHI White Paper). Institute for Healthcare Improvement.

Author: Donald J. Peurach

Publisher: Rowman & Littlefield

ISBN: 9781538152362

Category: Education

Page: 608

View: 629

"This groundbreaking text gathers the foremost researchers, scholars, and practitioners to describe and define the new and burgeoning field of improvement-focused educational research and practice. The handbook represents the breadth and depth of improvement-focused educational research and the diversity of improvement efforts underway, covering the historical and theoretical foundations of improvement, the varied contexts of and approaches to improvement, and the designs, strategies, and tools of continuous improvement"--
Categories: Education

Utilizing Learning Analytics to Support Study Success

Utilizing Learning Analytics to Support Study Success

The promise and potential of e-assessment for learning. In P. Reimann, S. Bull, M. Kickmeier-Rust, R. Vatrapu, & B. Wasson (Eds.), Measuring and visualizing learning in the information-rich classroom (pp. 21–40). New York: Routledge.

Author: Dirk Ifenthaler

Publisher: Springer

ISBN: 9783319647920

Category: Education

Page: 328

View: 610

Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students’ learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion: · Theoretical perspectives linking learning analytics and study success. · Technological innovations for supporting student learning. · Issues and challenges for implementing learning analytics at higher education institutions. · Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.
Categories: Education