Artificial Intelligence As A Tool To Develop Strategic Management Enhancing Atmosphere Conducive To Learning: A Case Study At BTIS
Article Sidebar
Main Article Content
Abstract
The objective of this research is to explore the integration of Artificial Intelligence (AI) into strategic management processes to enhance the learning atmosphere within a school setting. By focusing on a case study at British Thai International School at Chiangkham - Phayao (BTIS), the study examines strategic management implementations that foster a conducive learning environment. The research employs a mixed-methods approach, utilizing both quantitative and qualitative data from questionnaires and interviews with various stakeholders, including 19 students, 11 teachers and 2 administrators. The research results find 1. AI serves as an effective tool for analyzing and defining strategic management policies that enhance atmosphere conducive to learning. 2. The potential challenges and opportunities associated with the use of AI in strategic management for educational purposes. 3. The development of a framework for school administrators to improve the learning atmosphere, thereby supporting the well-being and satisfaction of the school community. These contribute to the existing body of knowledge on AI's role in strategic management and its impact on creating a nurturing educational environment.
Article Details
References
Agrawal, A., Gans, J., & Goldfarb, A. (2017). What to expect from artificial intelligence. MIT Sloan Management Review, 58(3), 23-27.
Alai-Tafti, K. (2023). Responsible AI for education: A comprehensive review. Computers & Education, 215, 104799.
Brynjolfsson, E., & McAfee, A. (2016). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62-70.
Hewlett, S. A., & Luce, C. B. (2020). Educating minds and hearts: A comprehensive guide to the leading Montessori principles. Sourcebooks, Inc.
Ferràs-Hernández, X. (2018). Artificial intelligence and strategic management: The rise of machine learning and its impact on business models. Journal of Business Models, 6(2), 15-21.
George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. Academy of Management Journal, 57(2), 321-326.
Gunasekaran, A., Subramanian, N., & Papadopoulos, T. (2017). Information technology for competitive advantage within logistics and supply chains: A review. Transportation Research Part E: Logistics and Transportation Review, 99, 14-33.
Jovanovic, M., Gašević, D., & Dawson, S. (2016). AI-supported adaptive learning for the digital age. British Journal of Educational Technology, 47(2), 386-401.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
Keding, C. (2020). Understanding the interplay of artificial intelligence and strategic management: four decades of research in review. Management Review Quarterly, 71, 91-134.
Lee, K. F. (2018). AI superpowers: China, Silicon Valley, and the new world order. Houghton Mifflin Harcourt.
Phan, T., Nguyen, T. T., Nguyen, P. T., & Nguyen, T. T. (2017). Artificial intelligence in e-learning. In International Conference on Advanced Learning Technologies and Technology-enhanced Learning. Springer, Cham.
Ruhe, M. (2019). Big data analytics in education: A systematic review and meta-analysis. Educational Research Review, 28, 44-55.
