Learning Analytics Enhanced Online Learning Support

Offering the latest developments in online education in the era of big data, this book explores theories, technologies and practices in the field of data-driven online learning support services with the help of learning analytics.

Autorentext

Shuang Li is an Associate Professor of the Faculty of Education at Beijing Normal University, China. Her areas of research interest primarily include online learning support services and learning analytics. She is the primary drafter of the national occupational standard for "online learning service professionals" in China. She has published over 100 research papers in core journals and conferences in the field of education, including CE, IJETHE, ILE, and JCAL.

Inhalt

1. Learning Support Reflection and Reconstruction in the Internet Plus Era 2. Online Student Characteristics and Data Representation 3. Promoting Social Learning Based on Interaction Analytics 4. Learning Process-based Electronic Assessment 5. Personalized Tutoring and Support