Publications

Home Publications

Journal Papers

  1. K.-H. Li and C.-K. Chang, "Agentic AI as a Dual-Role Lecturer and Teaching Assistant: Effects on Learner Autonomy, Self-Regulated Learning, and Intrinsic Motivation in University-Level EFL Education," Frontiers in Psychology, vol. 17, Art. 1847607, 2026, doi: 10.3389/fpsyg.2026.1847607.
  2. C. K. Chang et al., "Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography," J. Biomed. Opt, vol. 22, no. 3, pp. 036003–036003, 2017, doi: 10.1117/1.JBO.22.3.036003.
  3. C. C. Tsai et al., "Full-depth epidermis tomography using a Mirau-based full-field optical coherence tomography," Biomed. Opt. Express, vol. 5, no. 9, p. 3001, Sep. 2014, doi: 10.1364/BOE.5.003001.
  4. N.-C. Cheng et al., "Cell death detection by quantitative three-dimensional single-cell tomography," Biomed. Opt. Express, BOE, vol. 3, no. 9, pp. 2111–2120, Sep. 2012, doi: 10.1364/BOE.3.002111.

Conference Papers

  1. C.-K. Chang and K.-H. Li, "AI Teaching Assistants at Scale: Cross-Disciplinary Patterns of Adoption and Cognitive Engagement Across Hundreds of University Courses," in 2026 ACM Conference on Learning at Scale (L@S), Jun. 2026, doi: 10.1145/3774398.3811596. Best Paper Nominee
  2. C.-K. Chang and K.-H. Li, "PALM: Scaling Physiologically-Aware AI Tutoring Through Consumer Wearables and Large Language Models," in 2026 ACM Conference on Learning at Scale (L@S), Work-in-Progress, Jun. 2026, doi: 10.1145/3774398.3811576.
  3. C.-K. Chang, K.-H. Li, C.-L. Cheng, and T.-C. Lin, "From Wearables to Classrooms: A Person-Centered Feasibility Study of HRV-Based Physiological Monitoring for Learning Analytics," in 2026 IEEE Swiss Conference on Data Science and AI (SDS), May 2026, doi: 10.1109/SDS70563.2026.00035.
  4. 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, doi: 10.1109/ICALT64023.2025.00071. Best Short Paper Award
  5. 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, doi: 10.1109/ICALT64023.2025.00065.
  6. K. S. Phay and C.-K. Chang, "A Generative Artificial Intelligence-Based Python Learning Assistance System: Assessing Its Impact on Instrument Automation Skills," in 2025 IEEE International Conference on Education and Training in Optics and Photonics (ETOP), 2025, doi: 10.1109/ETOP64842.2025.11030677.
  7. C.-C. Yen, Y.-Y. Chang, Y.-Z. Chai, P.-T. Hsieh, K.-H. Li, and C.-K. Chang, "Correlation Analysis of Conversational Focus with Learning Experience in Python Courses," in International Conference on Modern Educational Technology (ICMET), 2025, doi: 10.1109/ICMET67594.2025.11451926.
  8. C.-K. Chang and K.-H. Li, "Designing an Educational Omics Data Lake: A Multimodal Infrastructure for Technology-Enhanced Learning," in International Conference on Modern Educational Technology (ICMET), 2025, doi: 10.1109/ICMET67594.2025.11452000.
  9. Y.-H. Chen, J.-S. Huang, J.-Y. Hung, and C.-K. Chang, "Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories," in 15th International Conference on Learning Analytics & Knowledge (LAK25), Practitioner Report, 2025. arXiv:2504.11481, doi: 10.48550/arXiv.2504.11481.
  10. C.-L. Cheng, T.-C. Lin, and C.-K. Chang, "Collaborative Reasoning Framework for Edge-Deployable EEG Sleep Staging via Local LLM," in 2025 IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2025, doi: 10.1109/BigDataService65758.2025.00021.
  11. C.-C. Kao, C.-K. Chang, and S.-J. Kao, "Computer Vision-Based Coffee Capsule Recognition Using Deep Learning and Comparative Analysis of Lightweight Models," in 2025 10th International Conference on Control and Robotics Engineering (ICCRE), Apr. 2025, pp. 215–220, doi: 10.1109/ICCRE64078.2025.10986792.
  12. C.-K. Chang and L.-C.-T. Chien, "Enhancing Academic Performance with Generative AI-Based Quiz Platform," in 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2024, pp. 193–195, doi: 10.1109/ICALT61570.2024.00062.
  13. C.-K. Chang, P.-C. Chen, Z.-S. Chen, and T. M. Kuo, "Developing AI-Based Automated Post-Rating System to Scaffold Interdisciplinary Knowledge-Sharing," in 2023 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2023, pp. 239–241, doi: 10.1109/ICALT58122.2023.00076.
  14. C.-K. Chang, J.-T. Lin, C. You, M. Calderon-Delgado, J.-W. Tjiu, and S.-L. Huang, "Skin Cancer Detection using Cellular Resolution Optical Coherence Tomography," in 2019 24th Microoptics Conference (MOC), Nov. 2019, pp. 70–71, doi: 10.23919/MOC46630.2019.8982810.
  15. C.-K. Chang and S.-L. Huang, "Quantitative Analysis of Keratinocytes in Human Skin Using Full-Field Optical Coherence Tomography," in Conference on Lasers and Electro-Optics (2018), paper JTu2A.100, May 2018, p. JTu2A.100, doi: 10.1364/CLEO_AT.2018.JTu2A.100.
  16. Y. Y. Li, R. Soundararajan, C. K. Chang, T. I. Yang, S. L. Huang, and Y. W. Lee, "Optical coherence tomography — From micron to nanometer resolution," in 2018 7th International Symposium on Next Generation Electronics (ISNE), May 2018, pp. 1–2, doi: 10.1109/ISNE.2018.8394691.
  17. C.-K. Chang and S.-L. Huang, "Nucleus and Cytoplasm Segmentation using Full-Field Optical Coherence Tomography," in Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), paper MF3A.2, Apr. 2018, p. MF3A.2, doi: 10.1364/MICROSCOPY.2018.MF3A.2.
  18. C. Chang, C.-C. Tsai, M.-T. Chien, Y.-I. L. M.d, C.-T. S. M.d, and S.-L. Huang, "Web-based 3D digital pathology framework for large-mapping data scanned by FF-OCT," in Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, Mar. 2015, vol. 9418, p. 94180H, doi: 10.1117/12.2081587.
  19. C.-C. Tsai et al., "Cellular-resolution optical coherence tomography," in Latin America Optics and Photonics Conference (2014), paper LTh3D.3, Nov. 2014, p. LTh3D.3, doi: 10.1364/LAOP.2014.LTh3D.3.
  20. C.-C. Tsai et al., "In vivo 3-D cellular level imaging using Mirau-based full-field optical coherence tomography on skin tissue," in Biomedical Optics 2014 (2014), paper BW4A.2, Apr. 2014, p. BW4A.2, doi: 10.1364/BIOMED.2014.BW4A.2.

Accepted / To Appear

Papers accepted for publication in 2026; DOIs will be added upon proceedings release.

  1. E. N. Furqon and C.-K. Chang, "Did You Lose Them? Predicting the Exact Moment of Disengagement via Multimodal VLM Classroom Orchestration in Education," in 2026 IEEE International Conference on Advanced Learning Technologies (ICALT), 2026 (accepted).
  2. Y.-C. Chien, C.-C. Yen, and C.-K. Chang, "Validation of Natural Language–Based Educational Digital Twins through Embedding Geometry in Python Courses," in 2026 IEEE International Conference on Advanced Learning Technologies (ICALT), 2026 (accepted).
  3. Y.-Y. Chang, Y.-Z. Chai, and C.-K. Chang, "Temporal Lag Effects in Multimodal Learning Analytics: Physiological–Behavioral Characterization," in 2026 IEEE International Conference on Advanced Learning Technologies (ICALT), 2026 (accepted).
  4. C.-L. Cheng, T.-C. Lin, and C.-K. Chang, "C-GRASP: Clinically-Grounded Reasoning for Affective Signal Processing," in 2026 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2026 (accepted).
  5. Y.-Y. Chang, M.-C. Tsai, Y.-C. Chien, Y.-Z. Chai, and C.-K. Chang, "Design of a Distributed Semantic Analysis System for Scalable Processing of Heterogeneous Text Data," in 2026 IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2026 (accepted).