Working together to solve climate problems: A Multimodal learning analysis approach to examine the effects of multiplayer digital games on cognition, affect, and action intentions

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        This project investigates how learners and the public can effectively engage in climate-related decision-making in a digital society, focusing on key factors that influence collaborative problem-solving skills. Existing climate change education frameworks often emphasize action and experience, but lack connections between external learning factors and learners' cognitive processes. To address this, the project uses a serious collaborative problem-solving digital game to (1) provide immersive climate decision-making experiences, and (2) explore factors that influence learning outcomes by integrating data on participants' cognitive and emotional attributes, dialogues, digital traces, and outcome assessments.

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        The project will establish international collaborations with teams from Taiwan, the Netherlands, and Germany to study the dynamic mechanisms of collaborative problem solving in climate contexts. By combining insights from science and digital learning, environmental psychology, learning science, and educational AI, this research aims to propose innovative and effective models for climate change education.