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Education 3.0 – AI and Gamification Tools for Increasing Student Engagement and Knowledge Retention

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Digital Transformation (PLAIS EuroSymposium 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 495))

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Abstract

The rapid advancements in Web 2.0 applications and artificial intelligence (AI) have significantly influenced the educational domain, introducing novel challenges for both educators and learners in online learning contexts. By continually learning and adopting innovative teaching methods, educators can cultivate enhanced learning experiences and collaboration between teachers and students. Effective strategies for delivering course content in online environments can further contribute to students’ satisfaction and in-depth understanding of the subject matter. This article aims to present a framework for educators to improve interaction with students, grounded in pertinent e-learning literature and supported by institutional research as it discusses the results of a pilot project designed to stimulate learning by tailoring it to students’ individual needs and maximizing the advantages of visual technologies in the learning process through gamification. Six courses on various subjects were developed, but this article focuses solely on a computer science course. The outcomes indicate visible improvements in student academic performance and satisfaction and that is to be seen over a comparison on two groups of students – with the second group beneficiating by a new way of delivering course materials.

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Correspondence to Catalin Vrabie .

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Vrabie, C. (2023). Education 3.0 – AI and Gamification Tools for Increasing Student Engagement and Knowledge Retention. In: Maślankowski, J., Marcinkowski, B., Rupino da Cunha, P. (eds) Digital Transformation. PLAIS EuroSymposium 2023. Lecture Notes in Business Information Processing, vol 495. Springer, Cham. https://doi.org/10.1007/978-3-031-43590-4_5

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  • DOI: https://doi.org/10.1007/978-3-031-43590-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43589-8

  • Online ISBN: 978-3-031-43590-4

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