Adoption of Data Analytics in Higher Education Learning and Teaching

✍ Scribed by Dirk Ifenthaler, David Gibson

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 464
• Series: Advances in Analytics for Learning and Teaching
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxxviii
Front Matter ....Pages 1-1
Adoption of Learning Analytics (David Gibson, Dirk Ifenthaler)....Pages 3-20
The Politics of Learning Analytics (Reem Al-Mahmood)....Pages 21-38
A Framework to Support Interdisciplinary Engagement with Learning Analytics (Stephanie J. Blackmon, Robert L. Moore)....Pages 39-52
The Framework of Learning Analytics for Prevention, Intervention, and Postvention in E-Learning Environments (Muhittin Şahin, Halil Yurdugül)....Pages 53-69
The LAVA Model: Learning Analytics Meets Visual Analytics (Mohamed Amine Chatti, Arham Muslim, Manpriya Guliani, Mouadh Guesmi)....Pages 71-93
See You at the Intersection: Bringing Together Different Approaches to Uncover Deeper Analytics Insights (David Paul Fulcher, Margaret Wallace, Maarten de Laat)....Pages 95-111
“Trust the Process!”: Implementing Learning Analytics in Higher Education Institutions (Armin Egetenmeier, Miriam Hommel)....Pages 113-134
Front Matter ....Pages 135-135
Students’ Adoption of Learner Analytics (Carly Palmer Foster)....Pages 137-158
Learning Analytics and the Measurement of Learning Engagement (Dirk Tempelaar, Quan Nguyen, Bart Rienties)....Pages 159-176
Stakeholder Perspectives (Staff and Students) on Institution-Wide Use of Learning Analytics to Improve Learning and Teaching Outcomes (Ann Luzeckyj, Deborah S. West, Bill K. Searle, Daniel P. Toohey, Jessica J. Vanderlelie, Kevin R. Bell)....Pages 177-200
How and Why Faculty Adopt Learning Analytics (Natasha Arthars, Danny Y.-T. Liu)....Pages 201-220
Supporting Faculty Adoption of Learning Analytics within the Complex World of Higher Education (George Rehrey, Marco Molinaro, Dennis Groth, Linda Shepard, Caroline Bennett, Warren Code et al.)....Pages 221-239
It’s All About the Intervention: Reflections on Building Staff Capacity for Using Learning Analytics to Support Student Success (Ed Foster, Rebecca Siddle, Pete Crowson, Pieterjan Bonne)....Pages 241-256
Experiences in Scaling Up Learning Analytics in Blended Learning Scenarios (Vlatko Lukarov, Ulrik Schroeder)....Pages 257-282
Front Matter ....Pages 283-283
Building Confidence in Learning Analytics Solutions: Two Complementary Pilot Studies (Armelle Brun, Benjamin Gras, Agathe Merceron)....Pages 285-303
Leadership and Maturity: How Do They Affect Learning Analytics Adoption in Latin America? (Isabel Hilliger, Mar Pérez-Sanagustín, Ronald Pérez-Álvarez, Valeria Henríquez, Julio Guerra, Miguel Ángel Zuñiga-Prieto et al.)....Pages 305-326
Adoption of Bring-Your-Own-Device Examinations and Data Analytics (Robyn Fitzharris, Simon Kent)....Pages 327-348
Experiential Learning in Labs and Multimodal Learning Analytics (Anke Pfeiffer, Vlatko Lukarov, Giovanni Romagnoli, Dieter Uckelmann, Ulrik Schroeder)....Pages 349-373
Web Analytics as Extension for a Learning Analytics Dashboard of a Massive Open Online Platform (Philipp Leitner, Karin Maier, Martin Ebner)....Pages 375-390
A Dimensionality Reduction Method for Time Series Analysis of Student Behavior to Predict Dropout in Massive Open Online Courses (Eric G. Poitras, Reza Feyzi Behnagh, François Bouchet)....Pages 391-406
Evidence-Based Learning Design Through Learning Analytics (Esin Caglayan, O. Osman Demirbas, Ali Burak Ozkaya, Mehmet Sahin)....Pages 407-424
Back Matter ....Pages 425-434

✦ Subjects

Education; Educational Technology; Learning and Instruction; Higher Education