期刊論文

  1. Chang, C.-K., Chen, Y.-L., & Juan, C.-H. (2024). Predicting sports performance of elite female football players through smart wearable measurement platform. In Progress in Brain Research. Elsevier. https://doi.org/10.1016/bs.pbr.2024.04.002

研討會論文

  1. E. N. Furqon and C.-K. Chang, “Evaluating Cognitive Performance through Prompt-Based Methods Using LLM in Education,” in 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2025.
  2. C.-C. Yen, P.-T. Hsieh, Y.-C. Chen and C.-K. Chang, “Analysis of a Generative AI-Based Graphical Learning Assistance Tool in IPR Courses,” in 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2025. (Best Paper Award)
  3. Phay, K. S., & Chang, C.-K. (2025). A Generative Artificial Intelligence-Based Python Learning Assistance System: Assessing Its Impact on Instrument Automation Skills. 2025 IEEE Conference on Education and Training in Optics and Photonics (ETOP), 1–4. https://doi.org/10.1109/ETOP64842.2025.11030677
  4. Chen, Y.-H., Huang, J.-S., Hung, J.-Y., & Chang, C.-K. (2025a). Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories (No. arXiv:2504.11481). arXiv. https://doi.org/10.48550/arXiv.2504.11481
  5. Chen, Y.-H., Huang, J.-S., Hung, J.-Y., & Chang, C.-K. (2025b, March 7). Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories. The 15th International Conference on Learning Analytics & Knowledge (LAK25). The 15th International Conference on Learning Analytics & Knowledge (LAK25).
  6. Chang, C.-K., & Chien, L.-C.-T. (2024). Enhancing Academic Performance with Generative AI-Based Quiz Platform. 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), 193–195. https://doi.org/10.1109/ICALT61570.2024.00062
  7. Chang, C.-K., Chen, P.-C., Chen, Z.-S., & Kuo, T. M. (2023). Developing AI-Based Automated Post-Rating System to Scaffold Interdisciplinary Knowledge-Sharing. 2023 IEEE International Conference on Advanced Learning Technologies (ICALT), 239–241. https://doi.org/10.1109/ICALT58122.2023.00076