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https://www.um.edu.mt/library/oar/handle/123456789/141839| Title: | Guest editorial : developing generative AI-informed pedagogies through lesson study |
| Authors: | Huang, Rongjin Cheng, Eric C.K. Calleja, James Camilleri, Patrick |
| Keywords: | Artificial intelligence -- Educational applications Artificial intelligence -- Study and teaching Computer-assisted instruction Teachers -- In-service training Lesson planning Educational technology -- Study and teaching |
| Issue Date: | 2025 |
| Publisher: | Emerald Publishing Limited |
| Citation: | Huang, R., Cheng, E. C., Calleja, J., & Camilleri, P. (2025). Guest editorial: Developing generative AI-informed pedagogies through lesson study. International Journal for Lesson & Learning Studies, 14(3), 187-196. |
| Abstract: | Lesson study (LS) has long been recognized as a powerful model for teacher professional development (TPD), emphasizing collaborative inquiry, classroom-based reflection and evidence-driven refinement of instructional practices (Dudley et al., 2019; Lewis et al., 2006). As education evolves in response to technological advancements, LS must also adapt – particularly in light of Generative Artificial Intelligence (GenAI), which is reshaping pedagogical possibilities. [excerpt] |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/141839 |
| Appears in Collections: | Scholarly Works - FacEduLLI |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Guest_editorial_Developing_generativeAI-informed_pedagogies_throughlesson_study(2025).pdf Restricted Access | 319.81 kB | Adobe PDF | View/Open Request a copy |
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