Tianlong Zhong

According to our database, Tianlong Zhong authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Cognitive Processes Underlying Divergent Levels of Performance and Agency in AI-Assisted Programming.

Tianlong Zhong, Gaoxia Zhu, Yuhan Wang, Dengyin Li

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

Towards Learning Analytics for Interdisciplinary Learning: Leveraging Knowledge-empowered Fine-Tuned GPT Models.

Tianlong Zhong, Gaoxia Zhu, Swee Chiat Low, Siyuan Liu

Proceedings of the Second International Workshop on Generative AI for Learning Analytics co-located with the 15th International Conference on Learning Analytics and Knowledge (LAK 2025), 2025

Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation.

Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer

Proceedings of the Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing, 2025

2024

The influences of ChatGPT on undergraduate students' demonstrated and perceived interdisciplinary learning.

Tianlong Zhong, Gaoxia Zhu, Chenyu Hou, Yuhan Wang, Xiuyi Fan

Educ. Inf. Technol., December, 2024

Exploring behavioural patterns and their relationships with social annotation outcomes.

Shan Li, Xiaoshan Huang, Gaoxia Zhu, Hanxiang Du, Tianlong Zhong, Chenyu Hou, Juan Zheng

J. Comput. Assist. Learn., August, 2024

Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks.

Tianlong Zhong, Gaoxia Zhu, Kang You Lim, Yew Soon Ong

CoRR, 2024

Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation.

Chenyu Hou, Gaoxia Zhu, Juan Zheng, Lishan Zhang, Xiaoshan Huang, Tianlong Zhong, Shan Li, Hanxiang Du, Chin Lee Ker

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Enhancing the Analysis of Interdisciplinary Learning Quality with GPT Models: Fine-Tuning and Knowledge-Empowered Approaches.

Tianlong Zhong, Chang Cai, Gaoxia Zhu, Min Ma

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

Embrace Opportunities and Face Challenges: Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning.

Gaoxia Zhu, Xiuyi Fan, Chenyu Hou, Tianlong Zhong, Peter Sen Kee Seow, Shen-Hsing Annabel Chen, Preman Rajalingam, Low Kin Yew, Tan Lay Poh

CoRR, 2023

A Formal Introduction to Batch-Integrated Gradients for Temporal Explanations.

Jamie Andrew Duell, Monika Seisenberger, Tianlong Zhong, Hsuan Fu, Xiuyi Fan

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023