The Role of Artificial Intelligence Technology in Higher Education Institutions
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Abstract
Artificial Intelligence (AI) refers to machines or computer systems developed to be intelligent, capable of thinking, calculating, analyzing, learning, and making decisions, much like a human brain. The utilization of artificial intelligence for educational development in higher education serves as a model for organizational improvement in the country, fostering the cultivation of well-rounded graduates. Therefore, technology in educational management must be appropriately integrated to support higher education management in the digital age. Diversity in learning systems, analysis of learning behaviors, and understanding students' challenges will assist lecturers in improving content and learning activities based on the interests, aptitudes, and needs of each learner, and in effectively motivating them. Such measures amplify the potential for achievement and sustainably improve the quality of education. Consequently, the implementation of artificial intelligence policies becomes a crucial factor in educational management strategies, playing a pivotal role in upgrading educational quality and extending opportunities in the modern world.
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เนื้อหาและข้อมูลในบทความที่ตีพิมพ์ในวารสารการศึกษาและนวัตกรรมการเรียนรู้ ถือเป็นข้อคิดเห็นและความรับผิดชอบของผู้เขียน ซึ่งกองบรรณาธิการวารสาร ไม่จำเป็นต้องเห็นด้วยหรือร่วมรับผิดชอบใด ๆ และไม่สงวนสิทธิ์การคัดลอกบทความเพื่อใช้ประโยชน์ทางวิชาการ แต่ให้อ้างอิงข้อมูลแสดงที่มาของบทความทุกครั้งที่นำไปใช้ประโยชน์
References
Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31-50. doi:10.1257/jep.33.2.31
Alqahtani, F., & Ramzan, N. (2019). Comparison and efficacy of synergistic intelligent tutoring systems with human physiological response. Sensors, 19(3), 460. doi:10.3390/s19030460
Anada. (2023). Get to know ChatGPT & DALL·E. Retrieved from https://www.ananda.co.th/blog/thegenc/ทำความรู้จัก-chatgpt-dall·e-2/ [in Thai]
Brynjolfsson, E., Hui, X., & Liu, M. (2019). Does machine translation affect International trade? evidence from a large digital platform. Management Science, 65(12), 5449-5460. doi:10.1287/mnsc.2019.3388
Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245. doi:10.1080/00131857.2020.1728732
Crockett, K., Latham, A., & Whitton, N. (2017). On predicting learning styles in conversational intelligent tutoring systems using fuzzy decision trees. International Journal of Human-Computer Studies, 97, 98-115. doi:10.1016/j.ijhcs.2016.08.005
Depa. (2023). Tech series: Artificial intelligence (AI). Retrieved from https://www.depa.or.th/en/article-view/tech-series-artificial-intelligence-ai [in Thai]
Emran, M. A., & Shaalan, K. (2014, September 24-27). A survey of intelligent language tutoring systems. In Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (393-399). Delhi, India: IEEE. doi:10.1109/ICACCI.2014.6968503
Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineering education. Engineering education, 78(7), 674-681.
Hayath, Z. (2018). 3 Reasons why artificial intelligence can revolutionize education. Retrieved from https://www.entrepreneur.com/article/323470
Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. (2018). Artificial intelligence in radiology. Nature Reviews Cancer, 18(8), 500-510. doi:10.1038/s41568-018-0016-5
Jackson, P. C. (2019). Introduction to artificial intelligence (3rd ed.). New York: Dover.
Jiménez, S., Juárez-Ramírez, R., Navarro, R., Coronel, A., & Castillo, V. H. (2016, April 27-29). Architecting an intelligent tutoring system with an affective dialogue module. In Proceedings of the 2016 4th International Conference in Software Engineering Research and Innovation (CONISOFT) 122-129. Puebla, Mexico: IEEE. doi:10.1109/CONISOFT37771.2016
Kelly, D., & Tangney, B. (2002). Incorporating Learning Characteristics into an Intelligent Tutor. In S. A., Cerri, G. Gouardères, & F. Paraguaçu (Eds.), Intelligent Tutoring Systems (729-738). Springer, Berlin, Heidelberg. doi:10.1007/3-540-47987-2_73
Koulu, R. (2020). Human control over automation: EU policy and AI ethics. European Journal of Legal Studies, 12(1), 9-46. doi:10.2924/EJLS.2019.019
Khumpiranon, S. (2019). Artificial intelligence in Thailand. Retrieved from https://www.senate.go.th/assets/portals/1/news/6304/2_เล่มเต็มบทความ00100864.pdf [in Thai]
Latham, A., Crockett, K., & McLean, D. (2014). An adaptation algorithm for an intelligent natural language tutoring system. Computers & Education, 71, 97-110. doi:10.1016/j.compedu.2013.09.014
Lu, Y., Pian, Y., Chen, P., Meng, Q., & Cao, Y. (2021, February 2-9). RadarMath: An intelligent tutoring system for math education. In Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 16087-16090. doi:10.1609/aaai.v35i18.18020
Lynchmay, M. (2018). 7 Roles for artificial intelligence in education. Retrieved from https://www.thetechedvocate.org/7-roles-for-artificial-intelligence-in-education/
NECTEC. (2022). The government is advancing the national artificial intelligence strategic action plan, fostering people, technology, social growth, and economic development through AI. Retrieved from https://ai.in.th/news/national-ai-committee/ [in Thai]
Mahmoud, M. H., & El-Hamayed, S. H. A. (2016). An intelligent tutoring system for teaching the grammar of the Arabic language. Journal of Electrical Systems and Information Technology, 3(2), 282-294. doi:10.1016/j.jesit.2016.04.001
Mano, P. (2019). The impact of digital disruption to the education. Journal of Industrial Education, 18(1), 1-6. [in Thai]
Martinez, R. (2019). Artificial intelligence: Distinguishing between types & definitions. Nevada Law Journal, 19(3), 1015-1042.
Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501-507. doi:10.1038/s42256-019-0114-4
Monett, D., Lewis, C. W., Thórisson, K. R., Bach, J., Baldassarre, G., Granato, G., ... & Shevlin, H. (2020). Special issue “On defining artificial intelligence”. Journal of Artificial General Intelligence, 11(2), 1-100. doi:10.2478/jagi-2020-0003
Muangprathub, J., Boonjing, V., & Chamnongthai, K. (2020). Learning recommendation with formal concept analysis for intelligent tutoring system. Heliyon, 6(10), e05227. doi:10.1016/j.heliyon.2020.e05227
Papanikolaou, K. A., Grigoriadou, M., Kornilakis, H., & Magoulas, G. D. (2002). INSPIRE: An intelligent system for personalized instruction in a remote environment. In S. Reich, M. M. Tzagarakis, & P. M. E. De Bra (Eds.), Hypermedia: Openness, Structural Awareness, and Adaptivity (215-225). Springer Berlin Heidelberg. doi:10.1007/3-540-45844-1_21
Paschen, J., Kietzmann, J., & Kietzmann, T. C. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing, 34(7), 1410-1419. doi:10.1108/JBIM-10-2018-0295
Pumpachart, T., Santhuenkaew, T., Makul, S., Bunlertpornpisut, R., & Sommaneedoung, S. (2020). The concept of Thai educational in the 5th generation. EAU Heritage Journal Social Science and Humanities, 10(3), 31-38. [in Thai]
Sani, S., & Aris, T. N. (2014, January 27-29). Computational intelligence approaches for student/tutor modelling: A review. In Proceedings of the 2014 5th International Conference on Intelligent Systems, Modelling and Simulation (72-76). Langkawi, Malaysia: IEEE doi:10.1109/ISMS.2014.21
Secretariat Office of the Teachers’ Council of Thailand. (2023). The professional education hub: Smart educators. Retrieved from https://www.ksp.or.th/2023/12/04/47748/ [in Thai]
Stanford University. (2022). Measuring trends in artificial intelligence. Retrieved from https://aiindex.stanford.edu/ai-index-report-2022/
Yasaka, K., & Abe, O. (2018). Deep learning and artificial intelligence in radiology: Current applications and future directions. PLOS Medicine, 15(11), e1002707. doi:10.1371/journal.pmed.1002707