VizGroup: An AI-assisted Event-driven System for Collaborative Programming Learning Analytics

dc.contributor.authorTang, Xiaohangen
dc.contributor.authorWong, Samen
dc.contributor.authorPu, Kevinen
dc.contributor.authorChen, Xien
dc.contributor.authorYang, Yalongen
dc.contributor.authorChen, Yanen
dc.date.accessioned2024-11-04T14:14:32Zen
dc.date.available2024-11-04T14:14:32Zen
dc.date.issued2024-10-13en
dc.date.updated2024-11-01T07:56:21Zen
dc.description.abstractProgramming instructors often conduct collaborative learning activities, like Peer Instruction, to foster a deeper understanding in students and enhance their engagement with learning. These activities, however, may not always yield productive outcomes due to the diversity of student mental models and their ineffective collaboration. In this work, we introduce VizGroup, an AI-assisted system that enables programming instructors to easily oversee students’ real-time collaborative learning behaviors during large programming courses. VizGroup leverages Large Language Models (LLMs) to recommend event specifications for instructors so that they can simultaneously track and receive alerts about key correlation patterns between various collaboration metrics and ongoing coding tasks. We evaluated VizGroup with 12 instructors in a comparison study using a dataset collected from a Peer Instruction activity that was conducted in a large programming lecture. The results showed that VizGroup helped instructors effectively overview, narrow down, and track nuances throughout students’ behaviors.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1145/3654777.3676347en
dc.identifier.urihttps://hdl.handle.net/10919/121539en
dc.language.isoenen
dc.publisherACMen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderThe author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleVizGroup: An AI-assisted Event-driven System for Collaborative Programming Learning Analyticsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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