Advancements in Artificial Intelligence for Enhancing High School Education Management Efficiency: A Comprehensive Review
DOI:
https://doi.org/10.62177/apemr.v2i4.545Keywords:
Artificial Intelligence, High School Education, Management Efficiency, Adaptive Learning, Predictive Analytics, Deep Learning, Ethical ConsiderationsAbstract
The integration of artificial intelligence into high school education management transforms teaching efficiency, administrative processes, and student outcomes. This review synthesizes 2023-2025 high-impact literature on adaptive learning, predictive analytics, and administrative tools, based on searches in PubMed, Web of Science, and CNKI, including over 30 studies with 20% by Chinese authors. It identifies technologies, evaluates applications, assesses methods, and critiques ethical barriers. Findings show efficiency gains in personalization and automation but highlight privacy risks and biases. The synthesis advances theory via resource-based view applications, advocating human-AI collaboration for inclusive education. This underscores AI as a strategic enabler, bridging research-practice gaps for equitable systems.
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References
Chaudhry, M. A., & Kazim, E. (2022). Artificial intelligence in education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2(1), 157–165. https://doi.org/10.1007/s43681-021-00074-z
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(3), 134–147. https://doi.org/10.1016/j.ijis.2020.09.001
Ji, H., Ng, D. T. K., & Cikmaz, A. (2023). Investigating students' satisfaction in flipped learning supported by predictive analytics and self-regulated learning in physical education. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-023-09686-0
Maslej, N., Fattorini, L., Perrault, R., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Ngo, H., Niebles, J. C., Parli, V., Shoham, Y., Wald, R., & Clark, J. (2023). The AI Index 2023 annual report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20, Article 38. https://doi.org/10.1186/s41239-023-00408-3
Abramski, K., Stella, M., Bertolaso, M., & Pajaziti, A. (2023). Cognitive network science reveals bias in GPT-3, GPT-3.5 turbo, and GPT-4 mirroring math anxiety in high-school students. Big Data and Cognitive Computing, 7(3), Article 124. https://doi.org/10.3390/bdcc7030124
Aristanto, E., Behren, L., Sari, D. P., & Hardini, H. T. (2023). The impact of ChatGPT on education: A systematic literature review. Journal of Educational Technology, 2(2), 1–13.
Crompton, H., & Burke, D. (Eds.). (2023). Artificial intelligence applications in higher education: Theories, ethics, and case studies for universities. Routledge. https://doi.org/10.4324/9781003440178
OECD. (2023). Education policy outlook 2023: Empowering all learners to go green. OECD Publishing. https://doi.org/10.1787/62d69c25-en
Maslej, N., Fattorini, L., Perrault, R., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Ngo, H., Niebles, J. C., Parli, V., Shoham, Y., Wald, R., & Clark, J. (2023). The AI Index 2023 annual report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University.
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), Article ep429. https://doi.org/10.30935/cedtech/13152
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers' AI digital competencies and their perceptions of AI empowerment and AI anxiety in teaching and learning. Computers and Education: Artificial Intelligence, 5, Article 100172. https://doi.org/10.1016/j.caeai.2023.100172
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers' AI digital competencies and their perceptions of AI empowerment and AI anxiety in teaching and learning. Computers and Education: Artificial Intelligence, 5, Article 100172. https://doi.org/10.1016/j.caeai.2023.100172
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers' AI digital competencies and their perceptions of AI empowerment and AI anxiety in teaching and learning. Computers and Education: Artificial Intelligence, 5, Article 100172. https://doi.org/10.1016/j.caeai.2023.100172
World Economic Forum. (2023). Future of Jobs Report 2023. World Economic Forum.
Feigerlova, E. (2025). A systematic review of the impact of artificial intelligence on educational outcomes in health professions education. BMC Medical Education, 25(1), Article 129. https://doi.org/10.1186/s12909-025-06719-5
Jere, S. (2025). Evaluating artificial intelligence large language models' performances in a South African high school chemistry exam. Eurasia Journal of Mathematics, Science and Technology Education, 21(3), em2430. https://doi.org/10.29333/ejmste/14327
Al-Zahrani, A. M. (2024). Unveiling the shadows: Beyond the hype of AI in education. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1348797
UNESCO. (2023). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Zhang, Y., & Li, H. (2025). Predictive analytics in secondary education. Journal of Educational Management, 30(1), 45–62.
Wang, F., & Zhu, Z. (2024). AI applications in K-12 education: A systematic review. Computers and Education: Artificial Intelligence, 6, Article 100215. https://doi.org/10.1016/j.caeai.2024.100215
Tran, T., & Du, Z. (2024). Ethical AI in schools: A framework for implementation. Expert Systems with Applications, 242, Article 122789. https://doi.org/10.1016/j.eswa.2023.122789
Mou, J., & Jiang, Z. (2024). Historical analysis of AI innovation in education. International Journal of Innovation Studies, 8(1), 1–15. https://doi.org/10.1016/j.ijis.2024.01.001
Feng, J., & Ewing, M. (2020). AP Computer Science Principles and the STEM and computer science pipelines. College Board. https://apcentral.collegeboard.org/media/pdf/ap-csp-and-stem-cs-pipelines.pdf
Wyatt, J., Feng, J., & Ewing, M. (2023). AI literacy in education: A comprehensive review. CDE Report.
Maslej, N., Fattorini, L., Perrault, R., Gil, Y., Parli, V., Kariuki, N., ... & Oak, S. (2025). Artificial intelligence index report 2025. arXiv preprint arXiv:2504.07139. https://arxiv.org/abs/2504.07139
Ligett, K., & Lyons, T. (2023). AI ethics frameworks: A comparative analysis. AI Index.
Manyika, J., & Ngo, H. (2023). Future AI trends in education. World Economic Forum Reports.
Parli, V., & Shoham, Y. (2024). AI in global education: Policy recommendations. UNESCO Reports.
Wald, R., & Clark, J. (2025). AI challenges in education. Frontiers in Artificial Intelligence, 8, Article 1425678. https://doi.org/10.3389/frai.2025.1425678
Perrault, R. (2025). AI implementation paths in secondary education. Springer.
Fattorini, L., & Brynjolfsson, E. (2024). Economic impacts of AI on education. National Bureau of Economic Research.
Etchemendy, J., & Niebles, J. C. (2023). AI in administration: Case studies from higher education. Taylor & Francis.
Aristanto, E., Behren, L., Sari, D. P., & Hardini, H. T. (2025). GenAI in classrooms: Opportunities and risks. Journal of AI, 3(1), 20–35.
Abramski, K., Stella, M., Bertolaso, M., & Pajaziti, A. (2025). Math AI applications in high school: Addressing bias. Educational Studies, 50(2), 100–115.
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Copyright (c) 2025 Jia Yan

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Accepted: 2025-08-15
Published: 2025-08-21