Convergence of Artificial Intelligence, Ontologies, and Qualia in e-learning re-design

Lamprini Seremeti1[0000-0002-0663-5408], Charis Kalogera1[0009-0005-6762-3944], Stylianos Papalexandris2,3[0000-0001-9248-2067], and Sofia Anastasiadou3[0000-0001-6404-5003]
1 Agricultural University of Athens, 75 Iera Odos Street, Votanikos, 118 55, Athens, Greece
2 Democritus University of Thrace, Greece 3University of Western Macedonia, Active Urban Planning Zone (ZEP), 50 150, Kozani, Greece
DOI: 10.46793/eLearning2025.193S

 

Abstract.   Nowadays, e-learning systems rely heavily on artificial intelligence (AI) as the core operational mechanism to deliver adaptive, personalized, and scalable learning experiences. However, the effectiveness of e-learning depends not only on computational capabilities but also on the conceptual basis of the knowledge under representation. Ontologies provide the formalized frameworks through which AI-based educational systems organize, correlate, and retrieve the educational content. Beyond the technical and structural aspects of e-learning lies the deeper philosophical foundation, that of Qualia, which refer to the phenomenological and subjective learners’ sense, such as their perception of continued support, their engagement with the content in a meaningful way, and the quality of sensation on learning. This paper introduces the need for an e-learning entity which is based on the interplay between AI, Ontologies, and Qualia, arguing for an integrated framework that involves computational intelligence, semantic structure, and philosophical foundation.

Keywords:   E-learning, Artificial Intelligence, Ontologies, Qualia.

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