AI-Driven Digital Concept Maps in Learning Environments: Empirical Insights from Student Use

Authors

DOI:

https://doi.org/10.5377/ryr.v1i62.21724

Keywords:

artificial intelligence, higher education, teaching methods, educational technology, visual communication, concept maps, interactive learning tools

Abstract

This study explores the integration of AI-powered, ontology-based interactive concept maps into a university programming course to support student learning and includes a comparison of these maps with AI-generated instructional text materials. As part of the “SDT 100: Principles of Programming with Java” course at American University Kyiv, foundational instructional materials were generated using GPT-4o and formalized into an ontology via the Semantic Portal platform. The platform then automatically generated interactive concept maps, with each node linked to structured concept descriptions. These maps were used alongside AI-powered text lectures, providing students with an alternative to linear instructional content. To assess pedagogical relevance, students were asked to provide qualitative feedback on the perceived usefulness of the concept maps. The findings suggest that such maps are particularly effective for content review and understanding conceptual relationships, serving as a valuable complement to traditional text-based materials. The study provides empirical evidence on the instructional potential of AI-powered, ontology based concept maps and outlines future directions for enhancing their automated generation using large language models.

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Author Biographies

Sergiy Tytenko, American University Kyiv

PhD in Computer Systems, Pukhov Institute for Modeling in Energy, NAS of Ukraine
Associate Professor, EPAM School of Digital Technologies, American University Kyiv, Ukraine
Chief Technology Officer (CTO), Empat LLC, Ukraine

Yehor Papkovych, American University Kyiv

Undergraduate student in Data Science, American University Kyiv, Ukraine

Mariia Zhak, American University Kyiv

Undergraduate student in Data Science, American University Kyiv, Ukraine

Sofiia Shkelebei, American University Kyiv

Undergraduate student in Data Science, American University Kyiv, Ukraine

Oleksandr Vasyliev, American University Kyiv

Undergraduate student in Software Engineering, American University Kyiv, Ukraine

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Published

2025-12-16

How to Cite

Tytenko, S., Papkovych, Y., Zhak, M., Shkelebei, S., & Vasyliev, O. (2025). AI-Driven Digital Concept Maps in Learning Environments: Empirical Insights from Student Use. Reality and Reflection, 1(62), 87–101. https://doi.org/10.5377/ryr.v1i62.21724