I'll start this article by making one simple statement: Feedback loops work. Why? That’s the way we human beings learn, as feedback provides us with a sense of where we stand and an evaluation of our progress.
As Massive Open Online Courses (MOOCs) generate a huge amount of learning activity data through its thousands of users, great potential is provided to use this data to understand and optimize the learning experience and outcome.
For about 10 years, from 2005 – 2015, much of the discussion about tracking eLearning revolved around the Shareable Content Object Reference Model (SCORM) and learning management systems (LMS).
Game Learning Analytics (GLA) is the process of applying Learning Analytics techniques to Serious Games in order to get insight about how the game is being used and improve the educational experience.
It never bodes well to dive into the unknown without preparation. To define, design and enable learning analytics, it’s essential to have a clear strategy in place. Prep yourself with these evaluation questions before you dive into learning analytics.
Jisc has been supporting seven research projects in learning analytics at UK universities over the past year. These have been in the areas of curriculum analytics, mental health and wellbeing and the evaluation of institutional learning analytics projects.Join us to hear the projects present their interesting findings.
S. Wu, and Y. Yang. (2020)cite arxiv:2008.01307Comment: Accepted to the 21st International Society for Music Information Retrieval Conference (ISMIR 2020).
M. Ferrari Dacrema, P. Cremonesi, and D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, page 101–109. New York, NY, USA, Association for Computing Machinery, (2019)
A. Said, E. Zangerle, and C. Bauer. Proceedings of the 17th ACM Conference on Recommender Systems, page 1221-1222. New York, NY, USA, ACM, (September 2023)