156 citations · 950 across the 61 of their papers we have counts for
5 papers · 1 filter
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments
Sahan Bulathwela, Meghana Verma, Maria Perez-Ortiz +2
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces i) VLE, a novel dataset t…
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution
Sahan Bulathwela, María Pérez-Ortiz, Catherine Holloway +1
Artificial Intelligence (AI) in Education has been said to have the potential for building more personalised curricula, as well as democratising education worldwide and creating a…
An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All
Maria Perez-Ortiz, Erik Novak, Sahan Bulathwela +1
Artifical Intelligence (AI) in Education has great potential for building more personalised curricula, as well as democratising education worldwide and creating a Renaissance of ne…
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…