14 citations · 35 across the 6 of their papers we have counts for
5 papers
PEEK: A Large Dataset of Learner Engagement with Educational Videos
Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak +2
Educational recommenders have received much less attention in comparison to e-commerce and entertainment-related recommenders, even though efficient intelligent tutors have great p…
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz +1
With the emergence of e-learning and personalised education, the production and distribution of digital educational resources have boomed. Video lectures have now become one of the…
Predicting Engagement in Video Lectures
Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani +2
The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of iden…
Towards an Integrative Educational Recommender for Lifelong Learners
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz +1
One of the most ambitious use cases of computer-assisted learning is to build a recommendation system for lifelong learning. Most recommender algorithms exploit similarities betwee…
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz +1
The recent advances in computer-assisted learning systems and the availability of open educational resources today promise a pathway to providing cost-efficient, high-quality educa…