Perspectives on Higher Education Curriculum Management in the Age of Artificial Intelligence Technology
Article Sidebar
Main Article Content
Abstract
This article aims to analyze and present the concept of higher education curriculum management in the era of artificial intelligence (AI) technology by discussing the meaning, importance, principles, and factors affecting curriculum management, as well as proposing curriculum management guidelines that are in line with current technological changes. The article points out perspectives on curriculum management in 4 important dimensions: 1) curriculum management, which focuses on designing flexible curriculum that meets the needs of lifelong learning; 2) teaching and learning, which emphasizes the integration of AI to promote personalized learning and increase efficiency in teaching and learning; 3) educational personnel development, which must promote faculty and related personnel to have knowledge and be able to use AI technology effectively; and 4) social and economic impacts, which cover issues of equality, access to educational opportunities, and preparing the workforce to meet future labor market demands. In addition, examples of AI applications to improve curricula, such as intelligent course recommendation systems and adaptive learning platforms, are provided, along with policy recommendations for using AI to effectively and sustainably improve the quality of education in the country.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Academic articles, research articles, and book reviews in the Ph.D. in Social Sciences Journal are author’s opinions, and not the publisher’s, and is not the responsibility of the Ph.D. in Social Sciences Journal Philosophy Association, Ramkhamhaeng University. (In the case that research is done on human, the researcher has to be trained in Ethics for Doing Research on Human Training and has to produce the evidence of the training).
References
Alers, H., Malinowska, A., Mourey, M., & Waaijer, J. (2024). From chalkboards to chatbots: SELAR assists teachers in embracing AI in the curriculum. Retrieved from https://arxiv.org/abs/2411.00783
Brynjolfsson, E., & McAfee, A. (2017). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W. W. Norton & Company.
Chanawong. K. (2021). The curriculum management model of educational institutions to promote 21st century characteristics of students in private schools. (Doctor of Education Thesis). Naresuan University. [in Thai]
Electronic Transactions Development Agency. (2024). AI and Education: The Ultimate Intelligent Assistant for Learning Development. Digital Economy Promotion Agency. Retrieved from https://www.dia.co.th/articles/ai-in-education. [in Thai]
European Commission. (2022). Ethics guidelines for trustworthy AI. Retrieved from https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
Holmes, W., & Bialik, M. (2019). AI and education: The importance of understanding artificial intelligence in the classroom. The International Journal of Artificial Intelligence in Education, 30(3), 295-314.
Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Retrieved from https://curriculumredesign.org/ wp-content/uploads/AI-in-Education-CCR-2021.pdf
JISC. (2022). The future of assessment: Five principles, five targets for 2025. Retrieved from https://www.jisc.ac.uk/reports/the-future-of-assessment
Khamphiwcha. C. (2022). Management model to promote learning management in the digital age of secondary school teachers. (Doctor of Education Thesis). Naresuan University. [in Thai]
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2021). Intelligence unleashed: An argument for AI in education. Retrieved from https://unesdoc.unesco.org/ark:/ 48223/pf0000377070
Ministry of Higher Education, Science, Research and Innovation. (2025). New dimensions of the Ministry of Higher Education, Science, Research and Innovation. Using AI to check curriculum standards, revealing quality, accuracy, precision and speed. Retrieved from https://www.facebook.com/MHESIThailand/posts/1116011700568482 [in Thai]
Ministry of Higher Education, Science, Research and Innovation. (2025). MOHE is innovative! Launching AI to inspect university curricula, raising standards. Techsauce. Retrieved from https://techsauce.co/news/mhesi-ai-curriculum-standards
OECD. (2020). Digital Transformation in the Age of COVID-19: Building Resilience and Bridging Divides. Retrieved from https://www.oecd.org/digital/digital-transformation-covid.pdf
OECD. (2021). Education at a glance 2021: OECD indicators. Retrieved from https://doi.org/10.1787/b35a14e5-en
Office of the Higher Education Commission. (2021). AI and education: The most intelligent assistant to develop learning. ThaiJo. Retrieved from https://so11.tci-thaijo.org/index.php/J_SSR/article/download/1310/393 [in Thai]
Office of the Higher Education Commission. (2024). KMUTT organizes an academic conference, OHEC, raising the flag "AI in Higher Education" to cope with the digital age. KMUTT News. Retrieved from https://www.kmutt.ac.th/news/kmutt-news/23/12/2024/79152 [in Thai]
Papamitsiou, Z., & Economides, A. A. (2014). Learning analytics and educational data mining in practice: A systematic literature review. Educational Technology & Society, 17(4), 49-64.
Schwab, K. (2017). The Fourth Industrial Revolution. World Economic Forum.
Shailendra, S., Kadel, R., & Sharma, A. (2024). Framework for Adoption of Generative Artificial Intelligence (GenAI) in Education. Retrieved from https://arxiv.org/abs/2408.01443
Tang, S., Wang, Y., & Zhao, J. (2022). Predicting student dropout in higher education using artificial intelligence: A systematic review. Retrieved from https://doi.org/10.1016/j.caeai.2022.100066
Trivedi, M., & Gohil, R. (2020). Virtual laboratories in science education: A framework for the development and implementation of virtual learning environments. Computers in Human Behavior, 108(1), 106-118.
UNESCO. (2023). Reimagining our futures together: A new social contract for education. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000379707
University College Dublin. (2023). Chicago Manual of Style 17th Edition: AI Generation. Retrieved from https://libguides.ucd.ie/chicagostyle/chicagogenAI
University of Michigan. (2023). Generative AI User Guide. Retrieved from https://midas.umich.edu/generative-ai-user-guide/
University of Oxford. (2023). AI Tools in Teaching. Retrieved from https://www.ctl.ox.ac.uk/ai-tools-in-teaching
World Economic Forum. (2020). The Future of Jobs Report 2020. Retrieved from https://www.weforum.org/reports/the-future-of-jobs-report-2020
Xia, J., Li, M., & Li, J. (2024). Comparative Analysis Vision of Worldwide AI Courses. Retrieved from https://arxiv.org/abs/2407.16881
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2020). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 17(1), 1–27.
