From Novice to Expert: Analysis of Token Level Effects in a Longitudinal Eye Tracking Study

Author:

Al Madi Naser,Peterson Cole S.,Sharif Bonita,Maletic Jonathan I.

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12

2. On Eye Tracking in Software Engineering;SN Computer Science;2024-07-26

3. Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code using Deep Neural Networks;Proceedings of the ACM on Software Engineering;2024-07-12

4. Attention Dynamics in Programming: Eye Gaze Patterns of High- vs. Low-Ability Novice Coders;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04

5. Assessing Programming Proficiency Through Eye Gaze Analysis Using Fine-Tuned Large Language Model;2024 10th IEEE International Conference on High Performance and Smart Computing (HPSC);2024-05-10

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