AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Song, Y.; Fu, J.; Chiu, T. K. F.; King, I.; Qu, H.
Exploring the Potential of AI-Generated Lesson Designs Underpinned by the TPACK Framework for Educators in Higher Education: A Comparative Study Journal Article
In: Global Chinese Conference on Computers in Education Main Conference Proceedings (English Paper), vol. 2025, pp. 95–98, 2025, ISSN: 30053218 (ISSN), (Publisher: Global Chinese Society for Computers in Education).
Abstract | Links | BibTeX | Tags: Educational Technology, Generative AI, Lesson design, TPACK framework
@article{song_exploring_2025,
title = {Exploring the Potential of AI-Generated Lesson Designs Underpinned by the TPACK Framework for Educators in Higher Education: A Comparative Study},
author = {Y. Song and J. Fu and T. K. F. Chiu and I. King and H. Qu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016693856&partnerID=40&md5=88331590398d8a4d639fa1f43136ae85},
issn = {30053218 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Global Chinese Conference on Computers in Education Main Conference Proceedings (English Paper)},
volume = {2025},
pages = {95–98},
abstract = {This paper investigates the potential of integrating generative AI into lesson design underpinned by the Technological Pedagogical Content Knowledge (TPACK) framework for educators in higher education. The study introduces a novel workflow that uses multiple AI agents to generate tailored lesson designs in two learning environments: one in a traditional classroom and another in the metaverse learning environment. A comparative study was conducted in a university-level product design course using three lesson designs under three conditions: Lesson design (LD) 1 – Manually designed lesson design in a traditional classroom, LD 2 – AI-generated lesson design in a traditional classroom, and LD 3 – AI-generated lesson design in the metaverse environment. The TPACK framework with the same lesson objectives underpinned all the lesson designs. Through qualitative analysis, the paper compares the three lesson designs, examining the potential of AI-generated lesson designs in supporting teacher professional development. The findings indicate that AI-generated lesson designs have great potential to enhance lesson design underpinned by the TPACK framework for educators. © 2025 Elsevier B.V., All rights reserved.},
note = {Publisher: Global Chinese Society for Computers in Education},
keywords = {Educational Technology, Generative AI, Lesson design, TPACK framework},
pubstate = {published},
tppubtype = {article}
}
This paper investigates the potential of integrating generative AI into lesson design underpinned by the Technological Pedagogical Content Knowledge (TPACK) framework for educators in higher education. The study introduces a novel workflow that uses multiple AI agents to generate tailored lesson designs in two learning environments: one in a traditional classroom and another in the metaverse learning environment. A comparative study was conducted in a university-level product design course using three lesson designs under three conditions: Lesson design (LD) 1 – Manually designed lesson design in a traditional classroom, LD 2 – AI-generated lesson design in a traditional classroom, and LD 3 – AI-generated lesson design in the metaverse environment. The TPACK framework with the same lesson objectives underpinned all the lesson designs. Through qualitative analysis, the paper compares the three lesson designs, examining the potential of AI-generated lesson designs in supporting teacher professional development. The findings indicate that AI-generated lesson designs have great potential to enhance lesson design underpinned by the TPACK framework for educators. © 2025 Elsevier B.V., All rights reserved.