Using Generative AI to Enhance Personalised and Self-Regulated Learning

Mikroyannidis, Alexander and Armakolas, Stefanos (2025). Using Generative AI to Enhance Personalised and Self-Regulated Learning. In: EdMedia + Innovate Learning 2025, 19-23 May 2025, Barcelona, Spain, Association for the Advancement of Computing in Education (AACE).

Abstract

The advent of Generative AI presents a remarkable opportunity for enhancing personalised and self-regulated learning. This paper introduces the AI-Enhanced Personal Learning Environment (AI-PLE) as a learner-focused digital space that uses Generative AI to provide personalised, adaptive, and collaborative learning experiences. The AI-PLE supports Self-Regulated Learning (SRL) by helping learners set goals, monitor progress, and refine strategies while offering curated resources, real-time feedback, and reflective prompts. By fostering engagement, inclusivity, and innovation, the AI-PLE empowers learners to take charge of their education, blending dynamic tools with social learning interactions. Initial findings from a case study in teacher education suggest that the AI-PLE holds significant potential in facilitating SRL among pre-service teachers by improving their ability to set goals, reflect on their progress, and stay motivated. However, certain challenges such as potential over-reliance on AI need to be addressed to ensure that pre-service teachers retain autonomy and confidence in their self-regulation abilities.