Publications

Did You Lose Them? Predicting the Exact Moment of Disengagement via Multimodal VLM Classroom Orchestration in Education

E. N. Furqon and C.-K. Chang

IEEE International Conference on Advanced Learning Technologies (ICALT) — to appear

Validation of Natural Language–Based Educational Digital Twins through Embedding Geometry in Python Courses

Y.-C. Chien, C.-C. Yen, and C.-K. Chang

IEEE International Conference on Advanced Learning Technologies (ICALT) — to appear

Temporal Lag Effects in Multimodal Learning Analytics: Physiological–Behavioral Characterization

Y.-Y. Chang, Y.-Z. Chai, and C.-K. Chang

IEEE International Conference on Advanced Learning Technologies (ICALT) — to appear

C-GRASP: Clinically-Grounded Reasoning for Affective Signal Processing

C.-L. Cheng, T.-C. Lin, and C.-K. Chang

48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) — to appear

Design of a Distributed Semantic Analysis System for Scalable Processing of Heterogeneous Text Data

Y.-Y. Chang, M.-C. Tsai, Y.-C. Chien, Y.-Z. Chai, and C.-K. Chang

IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService) — to appear

Chat as Learning: Student–AI Conversations as Discipline-Associated Cognitive Engagement Patterns

C.-K. Chang and K.-H. Li

Computers and Education: Artificial Intelligence

DOI: 10.1016/j.caeai.2026.100644

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

K.-H. Li and C.-K. Chang

Frontiers in Psychology, vol. 17, Art. 1847607

DOI: 10.3389/fpsyg.2026.1847607

Segmentation of Nucleus and Cytoplasm of a Single Cell in Three-Dimensional Tomogram Using Optical Coherence Tomography

C.-K. Chang et al.

Journal of Biomedical Optics, vol. 22, no. 3, p. 036003

DOI: 10.1117/1.JBO.22.3.036003

Full-Depth Epidermis Tomography Using a Mirau-Based Full-Field Optical Coherence Tomography

C.-C. Tsai et al.

Biomedical Optics Express, vol. 5, no. 9, p. 3001

DOI: 10.1364/BOE.5.003001

Cell Death Detection by Quantitative Three-Dimensional Single-Cell Tomography

N.-C. Cheng et al.

Biomedical Optics Express, vol. 3, no. 9, pp. 2111–2120

DOI: 10.1364/BOE.3.002111

AI Teaching Assistants at Scale: Cross-Disciplinary Patterns of Adoption and Cognitive Engagement Across Hundreds of University Courses

C.-K. Chang and K.-H. Li

ACM Conference on Learning at Scale (L@S)

Best Paper Nominee DOI: 10.1145/3774398.3811596

PALM: Scaling Physiologically-Aware AI Tutoring Through Consumer Wearables and Large Language Models

C.-K. Chang and K.-H. Li

ACM Conference on Learning at Scale (L@S), Work-in-Progress

DOI: 10.1145/3774398.3811576

From Wearables to Classrooms: A Person-Centered Feasibility Study of HRV-Based Physiological Monitoring for Learning Analytics

C.-K. Chang, K.-H. Li, C.-L. Cheng, and T.-C. Lin

IEEE Swiss Conference on Data Science and AI (SDS)

DOI: 10.1109/SDS70563.2026.00035

Analysis of a Generative AI-Based Graphical Learning Assistance Tool in IPR Courses

C.-C. Yen, P.-T. Hsieh, Y.-C. Chen, and C.-K. Chang

IEEE International Conference on Advanced Learning Technologies (ICALT)

Best Short Paper Award DOI: 10.1109/ICALT64023.2025.00071

Evaluating Cognitive Performance Through Prompt-Based Methods Using LLM in Education

E. N. Furqon and C.-K. Chang

IEEE International Conference on Advanced Learning Technologies (ICALT)

DOI: 10.1109/ICALT64023.2025.00065

A Generative Artificial Intelligence-Based Python Learning Assistance System: Assessing Its Impact on Instrument Automation Skills

K. S. Phay and C.-K. Chang

IEEE Conference on Education and Training in Optics and Photonics (ETOP)

DOI: 10.1109/ETOP64842.2025.11030677

Designing an Educational Omics Data Lake: A Multimodal Infrastructure for Technology-Enhanced Learning

C.-K. Chang and K.-H. Li

International Conference on Modern Educational Technology (ICMET)

DOI: 10.1109/ICMET67594.2025.11452000

Correlation Analysis of Conversational Focus with Learning Experience in Python Courses

C.-C. Yen, Y.-Y. Chang, Y.-Z. Chai, P.-T. Hsieh, K.-H. Li, and C.-K. Chang

International Conference on Modern Educational Technology (ICMET)

DOI: 10.1109/ICMET67594.2025.11451926

Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories

Y.-H. Chen, J.-S. Huang, J.-Y. Hung, and C.-K. Chang

15th International Conference on Learning Analytics & Knowledge (LAK25), Practitioner Report

DOI: 10.48550/arXiv.2504.11481

Collaborative Reasoning Framework for Edge-Deployable EEG Sleep Staging via Local LLM

C.-L. Cheng, T.-C. Lin, and C.-K. Chang

IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService)

DOI: 10.1109/BigDataService65758.2025.00021

Computer Vision-Based Coffee Capsule Recognition Using Deep Learning and Comparative Analysis of Lightweight Models

C.-C. Kao, C.-K. Chang, and S.-J. Kao

10th International Conference on Control and Robotics Engineering (ICCRE), pp. 215–220

DOI: 10.1109/ICCRE64078.2025.10986792

Enhancing Academic Performance with Generative AI-Based Quiz Platform

C.-K. Chang and L.-C.-T. Chien

IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 193–195

DOI: 10.1109/ICALT61570.2024.00062

Developing AI-Based Automated Post-Rating System to Scaffold Interdisciplinary Knowledge-Sharing

C.-K. Chang, P.-C. Chen, Z.-S. Chen, and T. M. Kuo

IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 239–241

DOI: 10.1109/ICALT58122.2023.00076

Skin Cancer Detection using Cellular Resolution Optical Coherence Tomography

C.-K. Chang, J.-T. Lin, C. You, M. Calderon-Delgado, J.-W. Tjiu, and S.-L. Huang

24th Microoptics Conference (MOC), pp. 70–71

DOI: 10.23919/MOC46630.2019.8982810

Quantitative Analysis of Keratinocytes in Human Skin Using Full-Field Optical Coherence Tomography

C.-K. Chang and S.-L. Huang

Conference on Lasers and Electro-Optics (CLEO), paper JTu2A.100

DOI: 10.1364/CLEO_AT.2018.JTu2A.100

Optical Coherence Tomography — From Micron to Nanometer Resolution

Y. Y. Li, R. Soundararajan, C.-K. Chang, T. I. Yang, S. L. Huang, and Y. W. Lee

7th International Symposium on Next Generation Electronics (ISNE), pp. 1–2

DOI: 10.1109/ISNE.2018.8394691

Nucleus and Cytoplasm Segmentation using Full-Field Optical Coherence Tomography

C.-K. Chang and S.-L. Huang

Biophotonics Congress, Biomedical Optics Congress (Microscopy), paper MF3A.2

DOI: 10.1364/MICROSCOPY.2018.MF3A.2

Web-Based 3D Digital Pathology Framework for Large-Mapping Data Scanned by FF-OCT

C.-K. Chang, C.-C. Tsai, M.-T. Chien, Y.-I. L., C.-T. S., and S.-L. Huang

Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations (SPIE), vol. 9418, p. 94180H

DOI: 10.1117/12.2081587

Cellular-Resolution Optical Coherence Tomography

C.-C. Tsai et al.

Latin America Optics and Photonics Conference (LAOP), paper LTh3D.3

DOI: 10.1364/LAOP.2014.LTh3D.3

In Vivo 3-D Cellular Level Imaging Using Mirau-Based Full-Field Optical Coherence Tomography on Skin Tissue

C.-C. Tsai et al.

Biomedical Optics 2014, paper BW4A.2

DOI: 10.1364/BIOMED.2014.BW4A.2