Taveter et al. (2026) — FIE 2026 (IEEE Frontiers in Education Conference).
Describes rapid development of a Thonny log visualizer using AI-assisted 'vibe coding' to make student programming processes visible to teachers. Piloted in a 160-student introductory programming course. Provides interactive timelines, session summaries, code-size graphs, and programming-process replays supporting teacher decision-making and academic-integrity clarification.
Relevance to AI in Education: This paper contributes to the understanding of llm-assessment, personalized-learning, and student-experience. The findings have implications for adaptive-learning systems, formative-assessment design, and the broader edtech-platform landscape. Future work should explore how these results generalize across stem-education and higher-ed contexts.
This research connects to the growing body of work on ai-literacy and teacher-role, highlighting both the promise and limitations of AI tools in educational settings.
Related Pages
- stem-education — related concept
- higher-ed — related concept
- teacher-role — related concept
- learning-analytics — related concept
- academic-integrity — related concept
- edtech-platform — related concept