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AI-assisted "vibe coding" visualizes student programming processes

Researchers have developed a novel AI-assisted method called "vibe coding" to quickly create a visualizer for student programming processes. This tool analyzes activity logs from the Thonny IDE for Python, generating interactive timelines, session summaries, and code-size graphs for teachers. The system aims to aid teachers in identifying learning support needs and flagging potential academic integrity issues, with a pilot program involving 160 students providing feedback for iterative improvements. AI

IMPACT This tool could enhance educational feedback by providing teachers with detailed insights into student coding habits and potential integrity concerns.

RANK_REASON The item is a research paper detailing a new method and tool for analyzing programming logs. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-assisted "vibe coding" visualizes student programming processes

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Heidi Taveter, Marina Lepp ·

    From Idea to Classroom in Days: Using "Vibe Coding" to Create a Programming Process Visualizer from IDE Activity Logs

    arXiv:2607.24757v1 Announce Type: cross Abstract: This paper reports on the rapid development and classroom deployment of a Thonny log visualizer built using AI-assisted ``vibe coding'' to make students' programming processes easily visible to teachers. We developed a web applica…