Neuro diffusion
Fostering meaningful learning through generative artificial intelligence
DOI:
https://doi.org/10.64876/radi.v26.4Keywords:
Image generation, neurogenetics, stable diffusion, teaching strategyAbstract
Artificial intelligence offers enormous potential for innovation in the educational field, particularly in the detection of potential difficulties in the learning process for students. This paper describes a teaching strategy based on image generation using the Stable Diffusion model to promote meaningful learning in electronic engineering students. The strategy is designed based on the neurogenetic characteristics that underlie the learning process itself, allowing for individual interventions considering the specific aspects of each student. Partial results obtained in pilot tests suggest that the intervention promo tes more meaningful and lasting learning, as measured in terms of interest, motivation, and assimilation, with improvements exceeding 60% relative, normalized gains be tween 0.5 and 0.82.
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