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Generative AI and Gamification for Personalized Learning: Literature Review and Future Challenges

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Abstract

The integration of Artificial intelligence (AI) in education (AIEd) opens the possibilities for creating new content, virtual teaching, and personalized learning experiences. This paper studies the different innovative methods used in education where we investigate the integration of Generative Artificial Intelligence (GAI) into education, and its transformative influence in producing personalized learning experiences through the use of its models like BERT, ChatGPT and GANs that have unique role in creating new content like text, image, and video, unlike discriminative algorithms that focus only on classification tasks. Also, the paper explores the power of gamification to enhance academic systems by generating new dynamic and interesting learning environments by using specific design that make learner learn and have fun which adjusts their needs, their personality, values and motivation. Even though the importance,The development of a dynamic adaption engine model for GAI and adaptive gamification is a pressing matter in this particular domain. Thus, This review aims the incorporation of generative AI into gamification to generate personalized content and improve the quality of the entire learning experience.

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Author notes

  1. Souha Bennani and Ahmed Maalel have contributed equally to this work.

Authors and Affiliations

  1. RIADI Laboratory, National School of Computer Sciences, University of Manouba, Manouba, Tunisia

    Feriel Abbes, Souha Bennani & Ahmed Maalel

  2. University of Sousse, Higher Institut of Applied Science and Technology, Sousse, Tunisia

    Feriel Abbes & Ahmed Maalel

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  1. Feriel Abbes
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  2. Souha Bennani
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Correspondence to Feriel Abbes.

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Abbes, F., Bennani, S. & Maalel, A. Generative AI and Gamification for Personalized Learning: Literature Review and Future Challenges. SN COMPUT. SCI. 5, 1154 (2024). https://doi.org/10.1007/s42979-024-03491-z

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