Learning Analytics

Dr. Larusson is an Academic Technology Architect and Professor in Computer Science at Brandeis University. His research interests include: Learning Analytics, Educational Technology, Computer-Supported Collaborative Learning (CSCL), Human-Computer Interaction (HCI) and Social Media and Online Collaboration, Software Engineering. He was the resipient of the prestigious Provost's Dissertation Support Award, 2010 from Brandeis University. He is the author of numerous scholarly journal articles.

• Introduction.- Designing Learning Analytics Experiences.- Harnessing the Currents of the Digital Ocean.- Educational Data Mining and Learning Analytics.- Analytics through an Institutional Lens: Definition, Theory, Design and Impact.- A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering.- The Data-Assisted Approach to Building Intelligent Technology Enhanced Learning Environments.- Identifying Points for Pedagogical Intervention Based on Student Writing: Two Case Studies for the "Point of Originality."

"This book is an edited volume concerning the current emerging topics of learning analytics (LA). ... The book attempts to provide the first comprehensible reference book for LA by showcasing results, strategies, guidelines, methods, models and tools. ... Larusson and White have produced an accessible and interesting introduction to LA, aimed at students, educators, researchers and educational stakeholders." (Cristobal Romero and Sebastian Ventura, Technology, Knowledge and Learning, Vol. 20, 2015) "The book presents a range of excellent topics that are all interlinked with learning analytics. Each paper has a unique perspective on the topic and provides suitable examples and case studies. I would highly recommend this book to educational professionals seeking an informed view on learning analytics." (S. M. Godwin, Computing Reviews, November, 2014)