Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Mathematical modelling (MM) is widely recognized as a key competency for addressing complex real-world problems, which requires learners to engage in higher-order processes such as abstraction, representation, and iterative reasoning. However, students often experience difficulties in coordinating these processes within mathematics modelling tasks. While recent advances in artificial intelligence (AI) offer new possibilities for supporting mathematical modelling, limited research has examined how different forms of AI-mediated interaction shape students' learning processes in MM. To address this gap, the present study investigates five AI interaction roles, Tutor, Teaching Assistant, Peer,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

A persistent challenge in drone-based STEM education is the scarcity of teacher-verified, interactive simulations that support both conceptual learning and competency development. Generative AI can accelerate content creation, but its outputs frequently lack pedagogical validity and contextual alignment. This study examines whether simulation-assisted drone instruction, anchored by teacher-AI co-designed simulations, yields superior learning outcomes compared to the same hands-on curriculum delivered without simulations. Using a quasi-experimental pretest–posttest design with 30 secondary students (aged 13 to 17), both groups completed identical drone tasks with the same instructor; however...

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