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Alex Goslen; Yeo Jin Kim; Jonathan Rowe; James Lester – International Journal of Artificial Intelligence in Education, 2025
The development of large language models offers new possibilities for enhancing adaptive scaffolding of student learning in game-based learning environments. In this work, we present a novel framework for automatic plan generation that utilizes text-based representations of students' actions within a game-based learning environment, Crystal…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Game Based Learning
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Anisha Gupta; Dan Carpenter; Wookhee Min; Jonathan Rowe; Roger Azevedo; James Lester – International Journal of Artificial Intelligence in Education, 2024
Reflection plays a critical role in learning. Game-based learning environments have significant potential to elicit and support student reflection by prompting learners to think critically about their own learning processes and performance. Stealth assessment models, used for unobtrusively assessing student competencies from evidence of game…
Descriptors: Bias, Reflection, Evaluation Methods, Game Based Learning
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Minji Jeon; Kathleen Jantaraweragul; Anne Ottenbreit-Leftwich; Cindy Hmelo-Silver; Krista Glazewski; Bradford Mott; James Lester; Cathy Ringstaff – International Journal of Designs for Learning, 2024
The PrimaryAI project focuses on developing an upper elementary integrated curriculum that covers life science, artificial intelligence (AI), and computer science concepts. The PrimaryAI curriculum uses both problem-based learning (PBL) and game-based learning (GBL) to engage students and situates the curriculum in a real-world context. The…
Descriptors: Inquiry, Artificial Intelligence, Technology Uses in Education, Elementary School Students