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20192026
most citedPredicting Engagement in Video Lectures

14 citations · 41 across the 10 of their papers we have counts for

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Showing cs.CYShow all

5 papers · 1 filter

cs.CY2025

TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models

Sahan Bulathwela, Daniel Van Niekerk, Jarrod Shipton +3

Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is…

cs.CY2023★ 2 cited

A Toolbox for Modelling Engagement with Educational Videos

Yuxiang Qiu, Karim Djemili, Denis Elezi +5

With the advancement and utility of Artificial Intelligence (AI), personalising education to a global population could be a cornerstone of new educational systems in the future. Th…

cs.CY2021★ 4 cited

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…

cs.CY2020★ 9 cited

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…

cs.CY2020★ 14 cited

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…