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20212026
most citedCould AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution

22 citations · 37 across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.CY2026

The Correct Answer Trap: Pedagogically-Grounded Detection and Feedback for Hidden Misconceptions

Moiz Imran, Sahan Bulathwela

Automated feedback systems that rely on answer correctness will reinforce, rather than address, misconceptions when students reach the correct answer through flawed reasoning. We i…

cs.CY2026

Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning

Moiz Imran, Sahan Bulathwela

Intelligent tutoring systems increasingly provide automated feedback on student work, but robust feedback requires assessing reasoning, not only final answers. We study a failure m…

cs.CY2025

Examining Student Interactions with a Pedagogical AI-Assistant for Essay Writing and their Impact on Students Writing Quality

Wicaksono Febriantoro, Qi Zhou, Wannapon Suraworachet +4

The dynamic nature of interactions between students and GenAI, as well as their relationship to writing quality, remains underexplored. While most research has examined how general…

cs.CY2025★ 1 cited

Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence

Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou +1

Generative artificial intelligence (GenAI) is increasingly used in education, posing significant challenges for teachers adapting to these changes. GenAI offers unprecedented oppor…

cs.CY2025

A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education

Ziqing Li, Mutlu Cukurova, Sahan Bulathwela

The development of Automatic Question Generation (QG) models has the potential to significantly improve educational practices by reducing the teacher workload associated with creat…

cs.CY2022★ 2 cited

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…

cs.CY2021★ 22 cited

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…