張家凱 專任助理教授
張家凱 專任助理教授
學 歷：國立台灣大學光電工程研究所博士
聯絡電話：(03) 4227151 ext.33415
研 究 室：C2-320
電子郵件：ckchang@ncu.edu.tw
研究領域：數位學習、多模態學習分析、機器學習、生理資料探勘、
實驗室：https://chia-kai-chang.github.io/
教育部計畫 |
1.基於生成式人工智慧的數位鷹架教學法在文學院生成式人工智慧導論課程之學習遷移成效研究（2025-08-01 ~ 2026-07-31）（教學實踐研究計畫）（計畫主持人）
2.矩陣沉浸式問題導向專案學習法(Problem Oriented Project-Based Learning, POPjBL)在專題實作課程之學習成效研究（2024-08-01 ~ 2025-07-31）（教學實踐研究計畫）（計畫主持人） 3.自我調節與遷移學習效能研究：以人工智慧適性引導系統為例（2023-12-01~2025-01-31）（教學實踐研究計畫）（計畫主持人） |
研討會論文 |
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.
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. 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 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 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). 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 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 Chang, C.-K., Lin, J.-T., You, C., Calderon-Delgado, M., Tjiu, J.-W., & Huang, S.-L. (2019). Skin Cancer Detection using Cellular Resolution Optical Coherence Tomography. 2019 24th Microoptics Conference (MOC), 70–71. https://doi.org/10.23919/MOC46630.2019.8982810 Chang, C.-K., & Huang, S.-L. (2018a). Nucleus and Cytoplasm Segmentation using Full-Field Optical Coherence Tomography. Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), Paper MF3A.2, MF3A.2. https://doi.org/10.1364/MICROSCOPY.2018.MF3A.2 Chang, C.-K., & Huang, S.-L. (2018b). Quantitative Analysis of Keratinocytes in Human Skin Using Full-Field Optical Coherence Tomography. Conference on Lasers and Electro-Optics (2018), Paper JTu2A.100, JTu2A.100. https://doi.org/10.1364/CLEO_AT.2018.JTu2A.100 Li, Y. Y., Soundararajan, R., Chang, C. K., Yang, T. I., Huang, S. L., & Lee, Y. W. (2018). Optical coherence tomography—From micron to nanometer resolution. 2018 7th International Symposium on Next Generation Electronics (ISNE), 1–2. https://doi.org/10.1109/ISNE.2018.8394691 Chang, C., Tsai, C.-C., Chien, M.-T., M.d, Y.-I. L., M.d, C.-T. S., & Huang, S.-L. (2015). Web-based 3D digital pathology framework for large-mapping data scanned by FF-OCT. Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 9418, 94180H. https://doi.org/10.1117/12.2081587 Tsai, C.-C., Chang, C.-K., Hsu, K.-Y., Ho, T.-S., Wang, Y.-T., Lin, M.-Y., Tjiu, J.-W., & Huang, S.-L. (2014). In vivo 3-D cellular level imaging using Mirau-based full-field optical coherence tomography on skin tissue. Biomedical Optics 2014 (2014), Paper BW4A.2, BW4A.2. https://doi.org/10.1364/BIOMED.2014.BW4A.2 Tsai, C.-C., Ho, T.-S., Chang, C.-K., Hsu, K.-Y., Lin, M.-Y., Tjiu, J.-W., Huang, S.-L., & Huang, S.-L. (2014). Cellular-resolution optical coherence tomography. Latin America Optics and Photonics Conference (2014), Paper LTh3D.3, LTh3D.3. https://doi.org/10.1364/LAOP.2014.LTh3D.3 |
學歷 |
國立台灣大學光電工程學博士（2018） |
現職 |
通識教育中心專任助理教授（2021~）
人工智慧國際碩士學位學程專任助理教授 AI輔助教學推動委員會，技術研發組組長 |
經歷 |
1.資訊工業策進會數位教育研究所資深工程師（2019-2021） 2.工業技術研究院材料與化工研究所研究員（2018-2019） 3.國家儀器科技研究中心助理研究員（2004-2008） |
學術榮譽 |
1.2025 IEEE International Conference on Advanced Learning Technologies (ICALT)最佳短論文獎 2. 2023 Garmin Health 高峰會年度大獎賽入圍 |