Large language models (LLMs), such as Codex, hold great promise in enhancing
programming education by automatically generating feedback for students. We investigate …

Recent research has shown feasibility of an interactive pair-programming conversational
agent, but implementing such an agent poses three challenges: a lack of benchmark …

This study examines the effect of using animation-based worked examples (ARAWEs) that
are prepared using Augmented Reality (AR) technology instead of using traditional paper …

Providing timely feedback is crucial in promoting academic achievement and student
success. However, for multifarious reasons (eg, limited teaching resources), feedback often …

Pair programming has a documented history of benefits, such as increased code quality,
productivity, self-efficacy, knowledge transfer, and reduced gender gap. Research …

From automated customer support to virtual assistants, conversational agents have
transformed everyday interactions, yet despite phenomenal progress, no agent exists for …

Large language models (LLMs) have shown promise in generating sensible code
explanation and feedback in programming exercises. In this experience report, we discuss …

Students often get stuck when programming independently, and need help to progress.
Existing, automated feedback can help students progress, but it is unclear whether it …

Autograding systems are being increasingly deployed to meet the challenges of teaching
programming at scale. Studies show that formative feedback can greatly help novices learn …

Automated Feedback Generation for Student Project Reports: A Data-Driven Approach
Page 1 Automated Feedback Generation for Student Project Reports: A Data-Driven Approach …