Eighteenth International Conference on e-Learning & Innovative Pedagogies

Abstract

This study explores the integration of Generative Artificial Intelligence (GenAI) into modern educational practices, emphasizing its transformative potential for enhancing student learning experiences. This work investigates how GenAI supports adaptive learning, fosters creativity, and enables personalized education. By adopting immersed methods, including theoretical analysis and case-based exploration, the study examines the effectiveness of GenAI-driven approaches such as step-wise learning and critical thinking frameworks in practical classroom scenarios. Key activities included testing the Interaction Granularity Hypothesis, using database management as example, where step-based GenAI tools like ChatGPT were evaluated for their ability to enhance SQL query development adaptive to each student, and analyzing GenAI’s role as a secondary teaching assistant using domain-specific materials. By examining step-based learning frameworks and critical thinking models, using programming language as example, the work highlighted GenAI’s ability to significantly enhance engagement and efficiency from designing algorithms to debugging and enhancing programming code, while uncovering areas for improvement in fostering deeper reasoning and innovative problem-solving. This work not only improved the analytical processes but also deployed possible solutions to support the practical decision making. These insights contribute to ongoing discourse on leveraging GenAI for education and propose future research directions for optimizing its integration.