Visualizations and Dashboards for Learning Analytics / edited by Muhittin Sahin, Dirk Ifenthaler.

Format:

Book

Contributor:

Sahin, Muhittin, editor.

Ifenthaler, Dirk, editor.

Series:

Advances in Analytics for Learning and Teaching, 2662-2130

Language:

English

Subjects (All):

Educational technology.

Study skills.

Learning, Psychology of.

Digital Education and Educational Technology.

Study and Learning Skills.

Instructional Theory.

Local Subjects:

Digital Education and Educational Technology.

Study and Learning Skills.

Instructional Theory.

Physical Description:

1 online resource (624 pages)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

Summary:

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.

Contents:

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 and Evidence from the Learner’s Perspective

Chapter 9: User-Centered Design For A Student-Facing Dashboard Grounded In Learning Theory

Chapter 10: Learning Analytics For Students

Chapter 11:Students’ Emotional Reactions To Social Comparison Via A Learner Dashboard

Chapter 12: Navigational Behavior Patterns Of Learners On Dashboards Based On Assessment Analytics

Chapter 13: Development And Evaluation Of A Student-Facing Gamified Learning Analytics Dashboard

Chapter 14: Evaluating LA Dashboard In Secondary School And Higher Education: Fostering Goal Setting And Students’ Self-Regulation

Chapter 15: “We Know What You Were Doing”

Part III:Practices and Evidence from the Educator’s Perspective

Chapter 16: Teachers’ Perspectives On The Promises, Needs And Challenges Of Learning Analytics Dashboards: Insights From Institutions Offering Blended And Distance Learning

Chapter 17: Learning Analytics Dashboard Use In Online Courses: Why And How Instructors Interpret Discussion Data

Chapter 18: Expanding Teacher Assessment Literacy With The Use Of Data Visualizations In Game-Based Assessment

Part IV:Systems Design for Learning Analytics Applications

Chapter 19: Visualization Of Learning For Students: A Dashboard For Study Progress

Chapter 20: Visualization of Student-Item Interaction Matrix

Chapter 21: Discovering Generative Uncertainty In Learning Analytics Dashboards

Chapter 22: Designing And Developing A Learning Analytics Dashboard To Support Self-Regulated Learning

Chapter 23: User-Centred Guidelines For The Design Of Curriculum Analytics Dashboards

Chapter 24: Learning Analytics Dashboards In Educational Games

Part V:Future Directions of Visualization and Dashboard

Chapter 25: Maximizing Student Achievement Through The Collection And Visualization Of Assessment Data

Chapter 26: Linking Assessment Results And Feedback Representations In E-Assessment: Evidence Centered Assessment Analytics Process Model

Chapter 27: Visualization And Dashboards: Challenges And Future Directions.

Notes:

Includes bibliographical references and index.

ISBN:

9783030812225

3030812227