4 citations · 10 across the 6 of their papers we have counts for
6 papers
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…
Scalable Educational Question Generation with Pre-trained Language Models
Sahan Bulathwela, Hamze Muse, Emine Yilmaz
The automatic generation of educational questions will play a key role in scaling online education, enabling self-assessment at scale when a global population is manoeuvring their…
Pre-Training With Scientific Text Improves Educational Question Generation
Hamze Muse, Sahan Bulathwela, Emine Yilmaz
With the boom of digital educational materials and scalable e-learning systems, the potential for realising AI-assisted personalised learning has skyrocketed. In this landscape, th…
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…
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Maria Perez-Ortiz, Sahan Bulathwela, Claire Dormann +6
Prior research has shown how 'content preview tools' improve speed and accuracy of user relevance judgements across different information retrieval tasks. This paper describes a no…
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz +1
In informational recommenders, many challenges arise from the need to handle the semantic and hierarchical structure between knowledge areas. This work aims to advance towards buil…