The training explored how tools such as ChatGPT can be used not as passive content generators, but as active learning catalysts—for example, as sparring partners, role-play facilitators, or perspective-switching agents that allow learners to engage with the viewpoints of policymakers, practitioners, or rural communities in Thailand. Short inputs were paired with extensive hands-on group work, enabling participants to directly design and test AI-supported role-plays and interactive learning scenarios.
A central element of the training was the use of the Google Design Sprint as a structured design-thinking framework to develop complex digital learning modules that integrate role-play and Generative AI in a constructive, pedagogically sound way—without “gaming the system.” Participants also worked with tools such as Articulate, NotebookLM, Google Gemini, and custom GPT-based character builders to create rich, scenario-driven learning experiences.
In addition, the training covered the technical foundations of large language models (LLMs) alongside critical discussions on their implications for teaching, learning, and assessment. Throughout, the emphasis remained on using AI to foster critical thinking, reflection, and engagement, rather than automating learning processes.
Working in small interdisciplinary groups, participants applied these approaches to co-create complete active-learning modules. The atmosphere was energetic and collaborative, and the outputs developed during the training will directly inform and strengthen digital learning initiatives across the participating universities.
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