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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
115
31 s/w Abbildungen, 115 farbige Abbildungen
XXIX, 611 p. 146 illus., 115 illus. in color.
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 40 mm
Gewicht
ISBN-13
978-3-030-81221-8 (9783030812218)
DOI
10.1007/978-3-030-81222-5
Schweitzer Klassifikation
Muhittin Sahin is post-doc researcher at University of Mannheim, Germany, and academic staffin the Department of Computer Education and Instructional Technology at Ege University, Turkey. His research interests deal with educational technology, learning analytics, educational data mining, multi-criteria decision making, data analysis, and e-assessment.
Dirk Ifenthaler is Professor and Chair of Learning, Design and Technology at University of Mannheim,Germany, and UNESCO Deputy Chair of Data Science in Higher Education Learning and Teaching at Curtin University, Australia. Dirk's research focuses on the intersection of cognitive psychology, educational technology, data analytics, and organisational learning.
