Artificial intelligence in education: A systematic literature review

Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature with diverse perspectives. Additionally, this review highlights the diverse range of theories applied in the AIED literature, the multidisciplinary nature of publication venues, and underexplored research areas.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 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 (2) What are the predominant research topics and their key findings?
• 3 (3) What is the status of major research design elements, including guiding theories, methodologies, and research contexts?

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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