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2020 – today
- 2025
[c15]Wan-Chong Choi, Chan-Tong Lam, António José Mendes:
Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data. EDM 2025- [c14]Wan-Chong Choi
, Iek Chong Choi, Chan-Tong Lam, António José Mendes:
Explaining Student Performance Prediction and Generating Personalized Actionable Feedback Using Explainable Artificial Intelligence (XAI) with SHAP. lCWL/SETE 2025: 256-272 - [c13]Wan-Chong Choi, Chan-Tong Lam, Patrick Cheong-Iao Pang, António José Mendes:
A Systematic Literature Review of Explainable Artificial Intelligence (XAI) for Interpreting Student Performance Prediction in Computer Science and STEM Education. ITiCSE (1) 2025: 221-227 - 2024
- [c12]Chi In Chang, Wan-Chong Choi, Iek Chong Choi:
Challenges and Limitations of Using Artificial Intelligence Generated Content (AIGC) with ChatGPT in Programming Curriculum: A Systematic Literature Review. AICCC 2024: 372-378 - [c11]Wan-Chong Choi, Chan-Tong Lam, António José Mendes:
How Various Educational Features Influence Programming Performance in Primary School Education. EDUCON 2024: 1-8 - [c10]Iek Chong Choi, Wan-Chong Choi, Biyun Huang, António José Mendes:
Learning Programming with VEX Robotics: Influence on Student Motivation in International Secondary School from Teachers' Perspective. FIE 2024: 1-8 - [c9]Wan-Chong Choi, Iek Chong Choi, Chan-Tong Lam, António José Mendes:
Learning Sequencing with Bee-Bot: A Study on Improving Computational Thinking and Motivation for Young Learners in Programming Education. FIE 2024: 1-8 - [c8]Wan-Chong Choi, Chan-Tong Lam, António José Mendes:
Enhance Learning Performance Predictions with Explainable Machine Learning. FIE 2024: 1-9 - [c7]Chi In Chang, Wan-Chong Choi, Iek Chong Choi:
A Systematic Literature Review of the Opportunities and Advantages for AIGC (OpenAI ChatGPT, Copilot, Codex) in Programming Course. ICBDE 2024: 29-35 - [c6]Chi In Chang, Wan-Chong Choi, Iek Chong Choi, Huey Lei:
A Systematic Literature Review of the Practical Applications of Artificial Intelligence-Generated Content (AIGC) Using OpenAI ChatGPT, Copilot, and Codex in Programming Education. ICEEL 2024: 13-19 - [c5]Iek Chong Choi, Wan-Chong Choi, Chi In Chang:
Exploring the Impact of CodeCombat Python Programming Curriculum on Student Motivation at Primary School. ICEEL 2024: 135-141 - [c4]Wan-Chong Choi, Chan-Tong Lam, António José Mendes:
Analyzing the Interpretability of Machine Learning Prediction on Student Performance Using SHapley Additive exPlanations. TALE 2024: 1-8 - [i1]Wan-Chong Choi, Iek Chong Choi:
The Influence and Relationship between Computational Thinking, Learning Motivation, Attitude, and Achievement of Code.org in K-12 Programming Education. CoRR abs/2412.14180 (2024) - 2023
- [c3]Wan-Chong Choi, Huey Lei, António José Mendes:
Motivating the New Generation: Using Flipped Classroom and ARCS Model to Enhance Block-Based Programming Education. FIE 2023: 1-8 - [c2]Wan-Chong Choi, Chan-Tong Lam, António José Mendes:
A Systematic Literature Review on Performance Prediction in Learning Programming Using Educational Data Mining. FIE 2023: 1-9 - 2022
- [c1]Wan-Chong Choi:
The Influence of Code.org on Computational Thinking and Learning Attitude in Block-Based Programming Education. ICEEL 2022: 235-241
Coauthor Index
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