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  1. Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature with diverse perspectives. In this review paper, we seek insights into three critical questions: (1) What are the primary categories of AI applications explored in the education field? (2) What are the predominant research topics and their key ...

  2. This abstract provides an overview of the impact of AI on students' learning experience, highlighting its benefits and potential challenges. AI technologies such as machine learning, natural...

  3. 5 iul. 2023 · Abstract and Figures. This study aimed to identify the advantages and disadvantages of using artificial intelligence in education from the perspective of the students of Al Ain...

  4. 1 ian. 2021 · Abstract. From unique educational perspectives, this article reports a comprehensive review of selected empirical studies on artificial intelligence in education (AIEd) published in 1993–2020, as collected in the Web of Sciences database and selected AIEd-specialized journals.

  5. In this exploration of the pros and cons of AI in education, we delve into potential benefits ranging from teaching assistance to individualized learning, while also shedding light on the ethical considerations surrounding bias, misinformation, and the future of educators’ roles.

  6. 1 feb. 2024 · •. A new classification framework for AI-based models. •. This research is new, timely, and relevant. •. The paper highlights numerous unaddressed challenges in current AI literature. •. It outlines potential strategies for further research. Abstract.

  7. 7 mar. 2019 · It features cases studies on how AI technology is helping education systems use data to improve educational equity and quality. Concrete examples from countries such as China, Brazil and South Africa are examined on AI’s contribution to learning outcomes, access to education and teacher support.

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