Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In an era where international education trends increasingly prioritize the integration of artificial intelligence (AI), there is a critical need to understand how students effectively use these tools to foster innovative and deep learning. This study addresses this gap by investigating higher education students’ experiences with advanced AI tools within a nine-week instructional experiment structured by the Predict-Observe-Explain (POE) model. Our primary motivation was to explore how a structured, inquiry-based framework could scaffold the development of sophisticated AI literacy, guiding students toward strategic human-AI partnerships. We employed a qualitative case study design,...

Ver ficha completa