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Summary Literature Review on Artificial Intelligence in Education: Current Trends and Research Insights

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This literature review provides a comprehensive analysis of existing research on Artificial Intelligence (AI) in education. It examines key theories, recent studies, AI applications in teaching and learning, benefits, challenges, research gaps, and emerging trends. The document is supported by scholarly sources and APA 7 references, making it suitable for undergraduate, postgraduate, and dissertation research projects related to AI in education.

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Literature Review
Artificial Intelligence in Education: Opportunities,
Challenges, and Future Implications
Prepared by
Muntaha Academic Resources



Document Type: Literature Review

Academic Field: Education / Artificial Intelligence

Research Area: Artificial Intelligence in Education

Referencing Style: APA 7th Edition

Language: English

Version: 1.0

Date: July 2026



Keywords: Artificial Intelligence, Education, Personalized Learning, Intelligent Tutoring
Systems, Learning Analytics, Academic Integrity, Educational Technology, AI Ethics

, Table of Contents
Literature Review ............................................................................................................ 1
Artificial Intelligence in Education: Opportunities, Challenges, and Future Implications1
1. Introduction ................................................................................................................. 3
2. Concept of Artificial Intelligence in Education .............................................................. 3
3. Evolution of Artificial Intelligence in Education ............................................................ 4
4. Theoretical Perspective ............................................................................................... 4
5. Opportunities of Artificial Intelligence in Education ...................................................... 5
6. Challenges of Artificial Intelligence in Education ......................................................... 5
7. Ethical Considerations in AI-Supported Education ...................................................... 6
8. Artificial Intelligence and Academic Integrity ................................................................ 7
9. Research Gap ............................................................................................................. 7
10. Artificial Intelligence and Personalized Learning ....................................................... 8
11. Intelligent Tutoring Systems....................................................................................... 8
12. Learning Analytics and Predictive Analytics .............................................................. 9
13. Artificial Intelligence in Assessment and Feedback ................................................... 9
14. Future Directions of Artificial Intelligence in Education ............................................ 10
15. Critical Analysis of Previous Studies ....................................................................... 11
16. Synthesis of the Literature ....................................................................................... 12
17. Chapter Summary ................................................................................................... 13
References .................................................................................................................... 14

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