AI-assisted evaluation of problem-solving performance using eye movement and handwriting
Author:
Affiliation:
1. Graduate Institute of Science Education, National Taiwan Normal University, Taipei, Taiwan
Funder
Research Council of Norway through the programme Klimaforsk
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15391523.2024.2339474
Reference94 articles.
1. Eye tracking and attentional bias for depressive internet memes in depression
2. Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System
3. Applying Natural Language Processing and Hierarchical Machine Learning Approaches to Text Difficulty Classification
4. A Computational Approach for Prediction of Problem-Solving Behavior Using Support Vector Machines and Eye-Tracking Data
5. Ben Khedher A. Frasson C. (2016). Predicting user learning performance from eye movements during interaction with a serious game. Paper presented at the EdMedia + Innovate Learning 2016 Vancouver BC Canada. Retrieved from https://www.learntechlib.org/p/173149
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