Educational Institutions in the Digital Era and the Use of Artificial Intelligence (AI) for Driving Work Efficiency
Main Article Content
Abstract
This article highlights the integration of artificial intelligence (AI) in driving efficiency within educational institutions, underscoring its pivotal role in modernizing and sustaining both educational management and teaching processes. The D2AIM process framework, which comprises five key steps—data collection, analysis, AI model development, implementation, and monitoring and refinement—plays a critical role in enhancing all dimensions of school administration. This includes analyzing student learning data to design suitable teaching methods, leveraging AI for teaching evaluation and teacher development, resource allocation, and strategic planning. The collection of high-quality and diversity from student performance, learning behaviors, and personnel data is the crucial initiation for employing AI AI to detect trends and patterns that can optimize the educational system's efficiency. Continuous monitoring and refinement further promote sustainable management and build confidence in utilizing AI to its fullest potential.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ
References
โรงเรียนอัสสัมชัญ. (2564). การใช้ปัญญาประดิษฐ์ในการเรียนการสอนภาษาอังกฤษ. สืบค้นจาก https://www.assumption.ac.th
ปิยะดา ศิริโสภณ. (2563). การวิเคราะห์ข้อมูลการเรียนรู้ในโรงเรียนสาธิตมหาวิทยาลัยศรีนครินทรวิโรฒ. วารสารการศึกษาวิชาการ. 9(2), 99-112.
ศูนย์เทคโนโลยีอิเล็กทรอนิกส์และคอมพิวเตอร์แห่งชาติ (NECTEC). (2564). การใช้ AI ในการวิเคราะห์ข้อมูลการศึกษา. สืบค้นจาก https://www.nectec.or.th/
สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ (สวทช.). (2563). Google Classroom : การจัดการห้องเรียนออนไลน์. สืบค้นจาก https://www.nstda.or.th/
สุวรรณา วงศ์สุข. (2564). การใช้ระบบการเรียนรู้อัจฉริยะในโรงเรียนมัธยมศึกษานวัตกรรม. วารสารเทคโนโลยีการศึกษา. 16(1), 45-58.
Allcoat, D., Von Mühlenen, A. and Anderson, L. (2021). Immersive learning environments and their impact on student engagement and performance. Virtual Reality in Education Journal. 33(2), 143-158.
Beijing Normal University High School. (2020). AI-Powered Classroom Monitoring System. Retrieved from https://www.bnuhs.edu.cn
Carnegie Mellon University. (n.d.). Open Learning Initiative (OLI). Retrieved from https://oli.cmu.edu
Chassignoleaux, B., Arezki, D. and Chollet, G. (2022). Artificial intelligence for education: A literature review. Computers & Education. 185, 104467.
Dutt, A., Ismail, M. and Herawan, T. (2017). A systematic review on educational data mining. IEEE Access, 5, 15991-16005. doi: 10.1109/ACCESS.2017.2654247
Ericsson, A. D. (2020). Artificial intelligence in education: What is its role? Where is it going? (Student thesis). Malmö University.
Ericsson, M. (2020). Automated grading systems: Reliability and applications. Computers & Education. 146, 103748.
Ertmer, P. A. and Newby, T. J. (2013). Behaviorism, Cognitivism, Constructivism: Comparing Critical Features from an Instructional Design Perspective. Performance Improvement Quarterly. 26(2), 43-71. doi: 10.1002/piq.21143
Fischer, G. (2021). End-User Development: Empowering Stakeholders with Artificial Intelligence, Meta-Design, and Cultures of Participation, in D. Fogli et al. (Eds.): IS-EUD 2021 Proceedings, Springer, LNCS 12724, p. 3–16. doi: 10.1007/978-3-030-79840-6_1
Siemens, G. (2004). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning. 2(1), 1-10.
Kyoto University. (2021). AI-based Assessment System. Retrieved from https://www.kyotou.ac.jp
Popenici, S. A. D. and Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(22). doi: 10.1186/s41039-017-0062-8
Russell, S. and Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice.
Sharma, A., Sharma, A., Tselykh, A., Bozhenyuk, A., Choudhury, T., Alomar, M. and Sánchez-Chero, M. (2023). Artificial Intelligence and Internet of Things Oriented Sustainable Precision Farming: Towards Modern Agriculture. Open Life Sciences. 18(1), 1-17. doi: 10.1515/biol-2022-0713
Smith, J. (2021). Intelligent Tutoring Systems at Exeter High School: Enhancing Student Learning Experiences. Journal of Educational Technology. 35(4), 210-225.
Technavio. (2022). Artificial Intelligence (AI) in Education Market by End-user and Geography-Forecast and Analysis 2022-2026. Retrieved from https://www.technavio.com/report/report/artificial-intelligence-ai-in-education-market-industry-analysis
UNESCO. (n.d.). Artificial intelligence in education. Retrieved from https://www.unesco.org/en/artificial-intelligence
UNESCO. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000366994
World Economic Forum. (2020). Annual Report 2020-2021. Retrieved from https://www3.weforum.org/docs/WEF_Annual_Report_2020_21.pdf