A Case on Artificial Intelligence Technologies Using for Tutoring and Achieving Learning Outcomes

Titelangaben

Gudoniené, Daina ; Stanevičiené, Evelina ; Dambrauskas, Edgaras ; Janik, Justyna ; Martin, Yolanda E. ; Fischerauer, Gerhard:
A Case on Artificial Intelligence Technologies Using for Tutoring and Achieving Learning Outcomes.
In: Lopata, Audrius ; Gudoniené, Daina ; Butkiené, Rita ; Čeponis, Jonas (Hrsg.): Information and Software Technologies : 30th International Conference, ICIST 2024, Kaunas, Lithuania, October 17–18, 2024 ; Proceedings. - Cham : Springer , 2025 . - S. 297-306 . - (Communications in Computer and Information Science ; 2401 )
ISBN 978-3-031-84262-7
DOI: https://doi.org/10.1007/978-3-031-84263-4_24

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Abstract

AI technologies offer transformative potential for tutoring and achieving learning outcomes, addressing these challenges is critical. Collaboration among educators, technologists, policymakers, and stakeholders is essential to create effective AI-driven educational solutions. A paper presents the case on artificial intelligence technologies using for tutoring and achieving learning outcomes. We analize existing best solutions for educational practice in tutoring which is still challengeable for many academics and described how technologies can improve or support learning process or achievement of the learning outcomes. Moreover, we identified a crucial tutoring points to address technical, ethical, and pedagogical considerations to maximize their effectiveness and ensure positive learning experiences for students by using chatbots in education for tutoring.