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.
Part I: Theoretical and Technological Perspectives Linking Visualization and Dashboard Design.- Chapter 1: Visualizations And Dashboards For Learning Analytics: A Systematic Literature Review.- Chapter 2: The Current Landscape Of Research And Practice On Visualizations And Dashboards For Learning Analytics.- Chapter 3: Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications.- Chapter 4: Data Visualizations To Foster Self-Regulated Learning With Intelligent Programming Tutors.- Chapter 5: Effectiveness Of Dashboard And Intervention.- Chapter 6: What do MOOC Dashboards Present To Learners?.- Chapter 7: Powerful Student-Facing Dashboard Design Through Effective Feedback, Visualization, And Gamification.- Chapter 8: Visualizing Your Visualizations: The Role Of Metavisualization In Learning Analytics.- Part II: Practices lcH