Online Learning and Analytics

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the application of educational data mining and learning analytics in the context of online education, particularly Massive Open Online Courses (MOOCs). It explores topics such as predictive analysis of student performance, machine learning techniques for student engagement, and the impact of data-driven education on online learning. The cluster also delves into the challenges and opportunities associated with implementing learning analytics in higher education.

Works

IDs:OpenAlex

How has Online Learning and Analytics's publication output changed over time?

ScholarIQpublication output · 2007–2022

Output grew0% over the shown period — from 1 works in 2007 to 1 in 2022.

2007201220132014201520182019202020212022

What are the most-cited papers on Online Learning and Analytics?

ScholarIQmost cited works

A reference model for learning analytics

Mohamed Amine Chatti, Anna Lea Dyckhoff, Ulrik Schroeder, Hendrik Thüs

International Journal of Technology Enhanced Learning. 2012669 Citations

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Hui Luan, Peter Géczy, Hollis Lai, Janice D. Gobert, Stephen J.H. Yang, Hiroaki Ogata, Jacky Baltes, Rodrigo da Silva Guerra, Ping Li, Chin‐Chung Tsai

Frontiers in Psychology. 2020610 CitationsOPEN ACCESS

Should Robots Replace Teachers?: AI and the Future of Education

Neil Selwyn

2019441 Citations

Design and Implementation of a Learning Analytics Toolkit for Teachers

Anna Lea Dyckhoff, Dennis Zielke, Mareike Bultmann, Mohamed Amine Chatti, Ulrik Schroeder

2012315 CitationsOPEN ACCESS

Out of the laboratory and into the classroom: the future of artificial intelligence in education

Daniel Schiff

AI & Society. 2020308 CitationsOPEN ACCESS