Generative AI and Gamification for Personalized Learning: Literature Review
The integration of Artificial Intelligence (AI) in education (AIEd) opens up possibilities for creating new content, virtual teaching, and personalized learning experiences. This paper delves into the innovative methods used in education, focusing on the integration of Generative Artificial Intelligence (GAI) and its transformative impact on producing personalized learning experiences. GAI utilizes models like BERT, ChatGPT, and GANs, which play a unique role in creating new content such as text, images, and videos, unlike discriminative algorithms that are primarily focused on classification tasks.
Furthermore, the paper explores the potential of gamification to enhance academic systems by creating dynamic and engaging learning environments through specific designs that cater to learners' needs, personalities, values, and motivations. Despite its significance, the development of a dynamic adaption engine model for GAI and adaptive gamification remains a critical concern in this field. This review aims to incorporate generative AI into gamification to generate personalized content and enhance the overall quality of the learning experience.
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