AHFE Open AccessSupporting Reflexivity, Confidence Building, and Career Orientation through Educational Science-Grounded AI in Transition Education for At-Risk Students
Abstract
This exploratory study examines the use of Yepa, an AI-based conversational system that transforms students’ narratives into structured learning experience (LX) maps to support vocational guidance and competence recognition. The study investigates how students in transition perceive AI-mediated reflection, how it supports confidence and competence recognition, and how institutional and pedagogical conditions shape its educational value. These findings suggest that the potential of AI-mediated reflective tools in education depends less on technological sophistication than on institutional support, meaningful pedagogical integration, and socially mediated use
Keywords: Artificial Intelligence (AI) in Education, Reflective Learning, Learning Analytics, Technology-Enhanced Learning
DOI: 10.54941/ahfe1008182
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