Personalized Learning in the Age of AI

The increasing disengagement of students in traditional education, understood as focused almostexclusively on the transmission of knowledge, highlights the need for more inclusive and personalizedlearning strategies. Interest plays a crucial role in this personalization, integrating cognitive, emotional,and evaluative aspects into the learning process. This qualitative study, framed within aphenomenological paradigm and a case study design, examines the implementation of AI-assistedpersonalized learning pathways to enhance interest in psychology students. Using the CHAEAquestionnaire, students’ learning styles and educational needs were identified, guiding the developmentof AI-supported learning pathways. Participants documented their experiences through field journals andfollow-up interviews. Findings indicate that interest evolves through sustained engagement, intrinsiccuriosity, knowledge integration, and personal relevance. AI-assisted personalization fostered motivationand self-efficacy, enhancing professional preparation. While promising, further research is needed toassess the long-term sustainability of interest development and its transferability to diverse educationalcontexts. Received: 06 October 2025 / Accepted: 22 February 2026 / Published: March 2026

Curriculum · Disengagement theory · Learning styles · Personalization · Personalized Learning · Professional development · Qualitative research · Transferability · Intelligent Tutoring Systems and Adaptive Learning · Neuroscience, Education and Cognitive Function · Online Learning and Analytics