Analysis of Types of Inquiries in Student-AI Interaction: A case study of two CS2 tasks
Researchers analyzed how students interact with AI systems while working on programming tasks. They used a taxonomy to classify 830 student inquiries into 18 types and found that most questions fall into a small subset of categories. The study suggests that the types of questions asked change as the task progresses.
Researchers analyzed how students interact with AI systems while working on programming tasks. They used a taxonomy to classify 830 student inquiries into 18 types and found that most questions fall into a small subset of categories. The study suggests that the types of questions asked change as the task progresses.
---
Why it matters: This research matters because it sheds light on how students interact with AI systems, which can inform the development of more effective learning tools and improve student outcomes in computer science education.
Source: https://arxiv.org/abs/2608.17919
This article was originally published at: https://arxiv.org/abs/2608.17919