Towards an Integrative Educational Recommender for Lifelong Learners. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (CoRR, 2019)

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (AAAI, 2020)

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (AAAI, 2020)

Predicting Engagement in Video Lectures. - Sahan Bulathwela; María Pérez-Ortiz 001; Aldo Lipani; Emine Yilmaz; John Shawe-Taylor (EDM, 2020)

What's in it for me?: Augmenting Recommended Learning Resources with Navigable Annotations. - Sahan Bulathwela; Stefan Kreitmayer; María Pérez-Ortiz 001 (IUI Companion, 2020)

SUM'20: State-based User Modelling. - Sahan Bulathwela; María Pérez-Ortiz 001; Rishabh Mehrotra; Davor Orlic; Colin de la Higuera; John Shawe-Taylor; Emine Yilmaz (WSDM, 2020)

VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (CoRR, 2020)

Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). - Sahan Bulathwela; María Pérez-Ortiz 001; Rishabh Mehrotra; Davor Orlic; Colin de la Higuera; John Shawe-Taylor; Emine Yilmaz (SIGIR Forum, 2020)

X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI. - María Pérez-Ortiz 001; Claire Dormann; Yvonne Rogers; Sahan Bulathwela; Stefan Kreitmayer; Emine Yilmaz; Richard Noss; John Shawe-Taylor (IUI Companion, 2021)

PEEK: A Large Dataset of Learner Engagement with Educational Videos. - Sahan Bulathwela; María Pérez-Ortiz 001; Erik Novak; Emine Yilmaz; John Shawe-Taylor (CoRR, 2021)

An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All. - María Pérez-Ortiz 001; Erik Novak; Sahan Bulathwela; John Shawe-Taylor (CoRR, 2021)

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution. - Sahan Bulathwela; María Pérez-Ortiz 001; Catherine Holloway; John Shawe-Taylor (CoRR, 2021)

Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (CoRR, 2021)

Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? - María Pérez-Ortiz 001; Sahan Bulathwela; Claire Dormann; Meghana Verma; Stefan Kreitmayer; Richard Noss; John Shawe-Taylor; Yvonne Rogers; Emine Yilmaz (CHIIR, 2022)

Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts. - Tabish Ahmed; Sahan Bulathwela (CIKM Workshops, 2022)

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. - Sahan Bulathwela; Meghana Verma; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (EDM, 2022)

Pre-Training With Scientific Text Improves Educational Question Generation. - Hamze Muse; Sahan Bulathwela; Emine Yilmaz (CoRR, 2022)

Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract). - Hamze Muse; Sahan Bulathwela; Emine Yilmaz (AAAI, 2023)

Scalable Educational Question Generation with Pre-trained Language Models. - Sahan Bulathwela; Hamze Muse; Emine Yilmaz (AIED, 2023)

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback. - Yuxiang Qiu; Karim Djemili; Denis Elezi; Aaneel Shalman; María Pérez-Ortiz 001; Sahan Bulathwela (ORSUM@RecSys, 2023)

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection. - Zekun Wu 003; Sahan Bulathwela; Adriano Soares Koshiyama (CoRR, 2023)

A Toolbox for Modelling Engagement with Educational Videos. - Yuxiang Qiu; Karim Djemili; Denis Elezi; Aaneel Shalman Srazali; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor; Sahan Bulathwela (AAAI, 2024)

Towards Human-Like Educational Question Generation with Small Language Models. - Fares Fawzi; Sarang Balan; Mutlu Cukurova; Emine Yilmaz; Sahan Bulathwela (AIED Companion (1), 2024)

Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation. - Zekun Wu 003; Sahan Bulathwela; María Pérez-Ortiz 001; Adriano Soares Koshiyama (CoRR, 2024)

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models. - Kester Wong; Bin Wu 025; Sahan Bulathwela; Mutlu Cukurova (AIED (2), 2025)

A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education. - Ziqing Li; Mutlu Cukurova; Sahan Bulathwela (LAK, 2025)

TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models. - Sahan Bulathwela; Daniel van Niekerk; Jarrod Shipton; María Pérez-Ortiz 001; Benjamin Rosman; John Shawe-Taylor (CoRR, 2025)

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models. - K. Wong; B. Wu; Sahan Bulathwela; Mutlu Cukurova (CoRR, 2025)

Exploring Human-AI Complementarity in CPS Diagnosis Using Unimodal and Multimodal BERT Models. - Kester Wong; Sahan Bulathwela; Mutlu Cukurova (CoRR, 2025)

Explainable Collaborative Problem Solving Diagnosis with BERT using SHAP and its Implications for Teacher Adoption. - Kester Wong; Sahan Bulathwela; Mutlu Cukurova (CoRR, 2025)