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A Review of Artificial Intelligence (AI) in Education from 2010 to 2020

Author

Listed:
  • Xuesong Zhai
  • Xiaoyan Chu
  • Ching Sing Chai
  • Morris Siu Yung Jong
  • Andreja Istenic
  • Michael Spector
  • Jia-Bao Liu
  • Jing Yuan
  • Yan Li
  • Ning Cai

Abstract

This study provided a content analysis of studies aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. A total of 100 papers including 63 empirical papers (74 studies) and 37 analytic papers were selected from the education and educational research category of Social Sciences Citation Index database from 2010 to 2020. The content analysis showed that the research questions could be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification). Moreover, four research trends, including Internet of Things, swarm intelligence, deep learning, and neuroscience, as well as an assessment of AI in education, were suggested for further investigation. However, we also proposed the challenges in education may be caused by AI with regard to inappropriate use of AI techniques, changing roles of teachers and students, as well as social and ethical issues. The results provide insights into an overview of the AI used for education domain, which helps to strengthen the theoretical foundation of AI in education and provides a promising channel for educators and AI engineers to carry out further collaborative research.

Suggested Citation

  • Xuesong Zhai & Xiaoyan Chu & Ching Sing Chai & Morris Siu Yung Jong & Andreja Istenic & Michael Spector & Jia-Bao Liu & Jing Yuan & Yan Li & Ning Cai, 2021. "A Review of Artificial Intelligence (AI) in Education from 2010 to 2020," Complexity, Hindawi, vol. 2021, pages 1-18, April.
    • Handle: RePEc:hin:complx:8812542
    DOI: 10.1155/2021/8812542
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    Cited by:

    1. Onise ALPENIDZE, 2025. "Enhancing Internationalization Management Of Higher Education Through Artificial Intelligence," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(5), pages 27-37, May.
    2. Huijuan Zhuang & Jing Dong & Su Mu & Haiming Liu, 2022. "Learning Performance Prediction and Alert Method in Hybrid Learning," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    3. Lee, Chi-Chuan & Fang, Yuzhu & Quan, Shiyun & Li, Xinghao, 2024. "Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy," Energy Economics, Elsevier, vol. 135(C).
    4. Asif Ali Wagan & Abdullah Ayub Khan & Yen-Lin Chen & Por Lip Yee & Jing Yang & Asif Ali Laghari, 2023. "Artificial Intelligence-Enabled Game-Based Learning and Quality of Experience: A Novel and Secure Framework (B-AIQoE)," Sustainability, MDPI, vol. 15(6), pages 1-12, March.
    5. Wadim Strielkowski & Veronika Grebennikova & Alexander Lisovskiy & Guzalbegim Rakhimova & Tatiana Vasileva, 2025. "AI‐driven adaptive learning for sustainable educational transformation," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 1921-1947, April.
    6. Yuqin Yang & Ying Zhang & Daner Sun & Wenmeng He & Yantao Wei, 2025. "Navigating the landscape of AI literacy education: insights from a decade of research (2014–2024)," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    7. Xiu Guan & Xiang Feng & A.Y.M. Atiquil Islam, 2023. "The dilemma and countermeasures of educational data ethics in the age of intelligence," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    8. Wala Bagunaid & Naveen Chilamkurti & Prakash Veeraraghavan, 2022. "AISAR: Artificial Intelligence-Based Student Assessment and Recommendation System for E-Learning in Big Data," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    9. Wei, Xinyi & Chu, Xiaoyuan & Geng, Jingyu & Wang, Yuhui & Wang, Pengcheng & Wang, HongXia & Wang, Caiyu & Lei, Li, 2024. "Societal impacts of chatbot and mitigation strategies for negative impacts: A large-scale qualitative survey of ChatGPT users," Technology in Society, Elsevier, vol. 77(C).

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