5 papers indexed
Mohammad Fahim Abrar, Shayla Sharmin, Roghayeh Leila Barmaki
Social intelligence, the ability to interpret others' emotions, beliefs, and intentions, is often assessed with the Reading the Mind in the Eyes Test (RMET), in which participants infer mental states from images of the eye region. Yet RMET is typically presented on paper or deskt…
Mohammad Fahim Abrar, Shayla Sharmin, Roghayeh Leila Barmaki
As students increasingly use LLM tutors in computer science education, one question becomes especially important: what kind of response helps a student continue productively? Prior work has studied how students use LLMs in computer science education, but less is known about how t…
Shayla Sharmin, Mohammad Fahim Abrar, Mohammad Al-Ratrout, Roghayeh Leila Barmaki
Problem posing is a valuable learning activity in computing education, encouraging learners to actively construct, refine, and reflect on problems rather than simply solving them. This experience report presents the design and pilot deployment of two LLM-powered scaffolding syste…
Shayla Sharmin, Mohammad Fahim Abrar, Roghayeh Leila Barmaki
AI-assisted feedback research has shown that micro-level feedback features, such as concrete elaboration, affective language, and response length, are associated with learning outcomes. Existing studies have primarily examined these features using session- or task-level measures.…
Shayla Sharmin, Mohammad Al-Ratrout, Mohammad Fahim Abrar, Roghayeh Leila Barmaki
We examine educational YouTube videos through multimodal metadata, such as transcripts, titles, thumbnails, and viewer comments, to investigate how ChatGPT is framed across creator groups and how those framings relate to audience response and platform reach. Little is known about…