Position Papers of the 20th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2025F7856

Citation: Position Papers of the 20th Conference on Computer Science and Intelligence Systems, M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 44, pages 9–14 (2025)

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Abstract. This study, conducted within the Erasmus Programme ``Language, Education and Society,'' investigates the growing use of Artificial Intelligence (AI) technologies in education and explores the future of learning through the lens of AI and advanced Machine Learning (ML) methods i.e. Reinforcement Learning (RL) and deep learning. AI can be broadly defined as the automation of cognitive processes traditionally associated with human intelligence. It encompasses the development of computational systems capable of performing tasks that require knowledge, reasoning, learning, and decision-making when carried out by humans. In the educational context, AI offers transformative potential by enabling personalized learning pathways, automating instructional processes, and enhancing the adaptability and effectiveness of pedagogical strategies. This research explores how AI technologies, including ML and RL, are currently being leveraged to optimize educational practices, and it highlights the growing intersection between AI advancements and the evolving demands of the educational sector.

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