Conference paper
Before you Prompt: Rethinking Teaching with GenAI through Pedagogical Frameworks [Workshop]
Proceedings of the 36th Australasian Association For Engineering Education Annual Conference, pp.1-1
Australasian Association for Engineering Education (AAEE) Annual Conference, 36th (Brisbane, Australia, 07-Dec-2025–10-Dec-2025)
Australasian Association For Engineering Education
2025
Abstract
OVERVIEW OF WORKSHOP
Generative AI (GenAI) tools are rapidly reshaping higher education. As these technologies evolve faster than we can track, there is an urgent need for strong pedagogical foundations to guide their effective integration into teaching. This workshop, grounded on our recent publication (Belkina et. al., 2025) responds to that need by focusing on how educators can apply evidence-based educational frameworks, specifically SAMR (Substitution, Augmentation, Modification, Redefinition) and TPACK (Technological Pedagogical Content Knowledge) to design, evaluate, and enhance learning experiences with GenAI.
Details
- Title
- Before you Prompt: Rethinking Teaching with GenAI through Pedagogical Frameworks [Workshop]
- Authors
- Marina Belkina - UNSW SydneyPeter Neal (Author) - UNSW AustraliaSarah Grundy (Corresponding Author) - UNSW SydneyScott Arthur Daniel - University of Technology SydneySasha Nikolic - University of WollongongRezwanul Haque - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringSarah Lyden - University of TasmaniaGhulam Mubashar Hassan - The University of Western Australia
- Publication details
- Proceedings of the 36th Australasian Association For Engineering Education Annual Conference, pp.1-1
- Conference details
- Australasian Association for Engineering Education (AAEE) Annual Conference, 36th (Brisbane, Australia, 07-Dec-2025–10-Dec-2025)
- Publisher
- Australasian Association For Engineering Education
- Date published
- 2025
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991188344402621
- Output Type
- Conference paper
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