KnowledgeTree: a distributed architecture for adaptive e-learning
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Visualising student tracking data to support instructors in web-based distance education
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A Recommender System for Collaborative Knowledge
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Attention please!: learning analytics for visualization and recommendation
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
It's just about learning the multiplication table
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
GLASS: a learning analytics visualization tool
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Inferring higher level learning information from low level data for the Khan Academy platform
Proceedings of the Third International Conference on Learning Analytics and Knowledge
| Hi-index | 0.00 |
The Khan Academy platform enables powerful on-line courses in which students can watch videos, solve exercises or earn badges. This platform provides an advanced learning analytics module with useful visualizations for teachers and students. Nevertheless, this learning analytics support can be improved with recommendations and new useful higher level visualizations in order to try to improve the learning process. In this paper, we describe our architecture for processing data from the Khan Academy platform in order to show new higher level learning visualizations and recommendations. The different involved elements of the architecture are presented and the different decisions are justified. In addition, we explain some initial examples of new useful visualizations and recommendations for teachers and students as part of our extension of the learning analytics module for the Khan Academy platform. These examples use data from an undergraduate Physics course developed at Universidad Carlos III de Madrid with more than 100 students using the Khan Academy system.