METHODOLOGICAL FRAMEWORKS AND PEDAGOGICAL OPPORTUNITIES OF GENERATIVE ARTIFICIAL INTELLIGENCE IN EDUCATIONAL SYSTEMS
Keywords:
Generative Artificial Intelligence, Multimodal Learning, Prompt Engineering, Cognitive Load Control, Living Pages, Visual Scaffolding, Digital Pedagogy, Critical Thinking..Abstract
This study investigates the pedagogical potential and methodological challenges of integrating Generative Artificial Intelligence (GenAI) technologies into modern educational workflows. We analyze the impact of Large Language Models (LLMs) and diffusion-based image generators on students' intellectual capacity, critical thinking skills, and cognitive load. A novel multimodal learning framework is proposed, combining prompt engineering and visual scaffolding to simultaneously foster creative and technical competencies.
The practical implementation of this model was evaluated through a case study of the "Living Pages" digital art competition conducted among secondary school students. Empirical results indicate that compared to traditional instructional methods, the proposed GenAI-integrated framework enhanced student classroom engagement by 65.1%, significantly improved long-term information retention parameters, and reduced cognitive fatigue indices. Based on these findings, we establish methodological recommendations for safely and effectively embedding generative technologies into humanities and cross-disciplinary curricula.
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