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What are the factors that contribute to students' engagement levels in AI-enhanced learning environments? 


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Factors that contribute to students' engagement levels in AI-enhanced learning environments include strong foundations in basic AI techniques, the introduction of gamification through competition-based learning, and the use of AI-assisted learning that is adaptive and enhances the natural learning style of students . Additionally, factors such as effort expectancy, performance expectancy, and social influence positively influence students' willingness to use AI-assisted learning environments . Psychological risk, on the other hand, negatively influences students' willingness to use AI-assisted learning environments . Hybrid learning, which combines face-to-face and online learning, along with the incorporation of AI, can also increase student engagement in educational settings . By using AI, students can communicate, collaborate, and receive real-time feedback, leading to a more engaging and interactive learning environment .

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The provided paper does not specifically mention the factors that contribute to students' engagement levels in AI-enhanced learning environments. The paper focuses on the advantages and disadvantages of hybrid education and the use of AI in educational settings.
The provided paper does not specifically mention factors that contribute to students' engagement levels in AI-enhanced learning environments.
The provided paper does not specifically discuss the factors that contribute to students' engagement levels in AI-enhanced learning environments.
The factors that contribute to students' engagement levels in AI-enhanced learning environments are not mentioned in the provided paper. The paper discusses the influence of AI-assisted learning on CAL, but does not specifically address factors related to student engagement.
The provided paper does not specifically mention factors that contribute to students' engagement levels in AI-enhanced learning environments.

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