Aysa Xuemo Fan

According to our database, Aysa Xuemo Fan authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers.

Aysa Xuemo Fan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Jiaze Ke

CoRR, 2024

2023

Utilizing programming traces to explore and model the dimensions of novices' code-writing skill.

Yingbin Zhang, Luc Paquette, Juan D. Pinto, Aysa Xuemo Fan

Comput. Appl. Eng. Educ., July, 2023

Combining latent profile analysis and programming traces to understand novices' differences in debugging.

Yingbin Zhang, Luc Paquette, Juan D. Pinto, Qianhui Liu, Aysa Xuemo Fan

Educ. Inf. Technol., April, 2023

Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course.

Juan D. Pinto, Qianhui Liu, Luc Paquette, Yingbin Zhang, Aysa Xuemo Fan

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.

Aysa Xuemo Fan, Haoran Zhang, Luc Paquette, Rui Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining.

Haoran Zhang, Aysa Xuemo Fan, Rui Zhang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper).

Juan D. Pinto, Yingbin Zhang, Luc Paquette, Aysa Xuemo Fan

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

2020

Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction.

Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020