GAITA_proactive support_study
Published: 26 August 2026| Version 1 | DOI: 10.17632/9x58c5h9x9.1
Contributor:
yuzhen wangDescription
This deidentified dataset contains 228 session-level observations from 57 university students who completed four online learning sessions under four proactive support modes of a generative AI teaching assistant: none, notification, suggestion, and intervention. It includes participant characteristics, experimental conditions, learning performance, interaction behaviors, and eye-tracking measures, including attention allocation, gaze entropy, and transitions among three areas of interest. The dataset supports research on proactive AI support, human–AI interaction, and technology-enhanced learning.
Files
Institutions
- Tsinghua UniversityBeijing, Beijing
Categories
Educational Technology, Human Behavior