Digitalisation and Artificial Intelligence in Education: Reflections on educational management

Yıl 2024, Cilt: 6 Sayı: 2, 1 - 12, 25.10.2024

Murat Polat

https://doi.org/10.70053/esas.1566395

Öz

This academic opinion paper considers the impact of digitalisation and artificial intelligence (AI) technologies on educational management. In particular, the opportunities and challenges that AI offers to educational leaders through data-based decision support systems are discussed in detail. It is asserted that the utilisation of AI in the domain of educational management serves to enhance the efficacy of strategic decision-making processes, facilitate the provision of personalised learning opportunities and contribute to the monitoring of student performance. However, it is also important to consider the challenges that arise from technological inequalities, data privacy and ethical issues. In this context, the contribution of AI to sustainable development in education and the means of integrating it in accordance with educational policies are discussed.

Anahtar Kelimeler

Digitalisation, education policy, educational management, artificial intelligence

Teşekkür

“I would like to thank Nurgün Varol for his valuable contributions to the study”.

Dijitalleşme ve eğitimde yapay zekâ: Eğitim yönetimine yansımaları

Öz

Bu akademik görüş yazısında dijitalleşmenin ve yapay zekâ (YZ) teknolojilerinin eğitim yönetimi üzerindeki etkileri ele alınmıştır. Özellikle YZ’nin, veri tabanlı karar destek sistemleri aracılığıyla eğitim liderlerine sunduğu fırsatlar ve karşılaşılabilecek zorluklar tartışılmıştır. Eğitim yönetiminde YZ kullanımının, stratejik karar alma süreçlerinde verimliliği artırdığı, kişiselleştirilmiş öğrenme fırsatları sağladığı ve öğrenci performansını izlemeye katkı sunduğu belirtilmiştir. Bununla birlikte, teknolojik eşitsizlikler, veri gizliliği ve etik sorunlar gibi zorlukların da sürecin önemli unsurları olduğu ifade edilmiştir. Bu bağlamda, YZ’nin eğitimde sürdürülebilir kalkınmaya katkısı ve eğitim politikalarıyla uyumlu bir şekilde nasıl entegre edileceği tartışılmıştır.

Anahtar Kelimeler

Dijitalleşme, eğitim politikası, eğitim yönetimi, yapay zekâ

Teşekkür

“Çalışmaya değerli katkılarından dolayı Nurgün Varol'a teşekkür ederim”.

Kaynakça

• Abu-Naser, S. S., Almasri, A., Abu Sultan, Y. S., & Zaqout, I. S. (2011). A prototype decision support system for optimizing the effectiveness of e-learning in educational institutions. International Journal of Data Mining & Knowledge Management Process (IJDKP), 1(4), 1-13. http://dx.doi.org/10.5121/ijdkp.2011.1401
• Al-Badi, A., & Khan, A. (2022). Perceptions of learners and instructors towards artificial intelligence in personalized learning. Procedia computer science, 201, 445-451. https://doi.org/10.1016/j.procs.2022.03.058
• Alam, A. (2023). Harnessing the power of AI to create intelligent tutoring systems for enhanced classroom experience and improved learning outcomes. In: Rajakumar, G., Du, KL., Rocha, Á. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 171. Springer, Singapore. https://doi.org/10.1007/978-981-99-1767-9_42
• Alshadoodee, H. A. A., Mansoor, M. S. G., Kuba, H. K., & Gheni, H. M. (2022). The role of artificial intelligence in enhancing administrative decision support systems by depend on knowledge management. Bulletin of Electrical Engineering and Informatics, 11(6), 3577-3589. https://doi.org/10.11591/eei.v11i6.4243
• Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261-271. https://doi.org/10.30574/gscarr.2024.18.2.0062
• Barakina, E. Y., Popova, A. V., Gorokhova, S. S., & Voskovskaya, A. S. (2021). Digital technologies and artificial ıntelligence technologies in education. European Journal of Contemporary Education, 10(2), 285-296.
• Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational researcher, 13(6), 4-16. https://doi.org/10.3102/0013189X013006004
• 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
• Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47.
• Chu, H. C., Hwang, G. H., Tu, Y. F., & Yang, K. H. (2022). Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22-42. https://doi.org/10.14742/ajet.7526
• De Souza Zanirato Maia, J., Bueno, A. P. A., & Sato, J. R. (2023). Applications of artificial intelligence models in educational analytics and decision making: A systematic review. World, 4(2), 288-313. https://doi.org/10.3390/world4020019
• Dutta, A., & Basu, A. (1984). An artificial intelligence approach to model management in decision support systems. Computer, 17(09), 89-97. https://doi.ieeecomputersociety.org/10.1109/MC.1984.1659250
• Fullan, M. (2013). Stratosphere: Integrating technology, pedagogy, and change knowledge. Pearson.
• Hashim, S., Omar, M. K., Ab Jalil, H., & Sharef, N. M. (2022). Trends on technologies and artificial intelligence in education for personalized learning: systematic literature. Journal of Academic Research in Progressive Education and Development, 12(1), 884-903. http://dx.doi.org/10.6007/IJARPED/v11-i1/12230
• Kotsiantis, S. B. (2012). Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades. Artificial Intelligence Review, 37, 331-344. https://doi.org/10.1007/s10462-011-9234-x
• Kozma, R. B. (2003). Technology and classroom practices: An international study. Journal of Research on Technology in Education, 36(1), 1-14. https://doi.org/10.1080/15391523.2003.10782399
• Leithwood, K., & Azah, V. N. (2016). Characteristics of effective leadership networks in schools. Journal of Educational Administration, 54(4), 409-433. https://doi.org/10.1108/JEA-08-2015-0068
• Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., ... & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
• Ma, J. (2021). Intelligent decision system of higher educational resource data under artificial intelligence technology. International Journal of Emerging Technologies in Learning, 15(5), 130–146. https://doi.org/10.3991/ijet.v16i05.20305
• Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In IFIP International Workshop on Artificial Intelligence for Knowledge Management (pp. 37-58). Springer International Publishing. https://doi.org/10.1007/978-3-030-85001-2_4
• Özer, M. (2024). Potential benefits and risks of artificial ıntelligence in education. Bartın University Journal of Faculty of Education, 13(2), 232-244. https://doi.org/10.14686/buefad.1416087
• Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial Intelligence in education: Challenges and opportunities for sustainable development. UNESCO, Paris, France.
• Phillips-Wren, G. (2013). Intelligent decision support systems. In Multicriteria Decision Aid and Artificial Intelligence (eds M. Doumpos and E. Grigoroudis). https://doi.org/10.1002/9781118522516.ch2
• Scherer, M. U. (2015). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harv. JL & Tech., 29, 353.
• Selwyn, N. (2011). Education and technology: Key issues and debates. Bloomsbury Academic.
• Shwedeh, F. (2024). The integration of Artificial Intelligence (AI) into decision support systems within higher education institutions. Nanotechnology Perceptions, 20(5), 331–357. https://doi.org/10.62441/nano-ntp.v20iS5.26
• Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639-653.
• Teng, Y., Zhang, J., & Sun, T. (2023). Data‐driven decision‐making model based on artificial intelligence in higher education system of colleges and universities. Expert Systems, 40(4), e12820. https://doi.org/10.1111/exsy.12820
• Thorn, C. (2020). Decision support systems and knowledge management in education. In Encyclopedia of Education and Information Technologies (pp. 514-518). Springer International Publishing.
• Turban, E., Cameron Fisher, J., & Altman, S. (1988). Decision support systems in academic administration. Journal of Educational Administration, 26(1), 97-113. https://doi.org/10.1108/eb009943
• Tzeli, Z. (2024). Applications of artificial intelligence in decision support systems: a case study in primary education. (Yayımlanmamış Doktora Tezi). Makedonya Western Üniversitesi.
• Van der Vorst, T., & Jelicic, N. (2019). Artificial Intelligence in education: Can AI bring the full potential of personalized learning to education?, 30th European Conference of the International Telecommunications Society (ITS): "Towards a Connected and Automated Society", Helsinki, Finland, 16th-19th June, 2019, International Telecommunications Society (ITS), Calgary.
• Vincent-Lancrin, S., & R. van der Vlies (2020). Trustworthy artificial intelligence (AI) in education: Promises and challenges. OECD Education Working Papers, No. 218, OECD Publishing, Paris, https://doi.org/10.1787/a6c90fa9-en
• Vohra, R., & Das, N. N. (2011). Intelligent decision support systems for admission management in higher education institutes. International Journal of Artificial Intelligence & Applications (IJAIA), 2(4), 63-70. https://doi.org/10.5121/IJAIA.2011.2406
• Wang, W. (2021). Model construction and research on decision support system for education management based on data mining. Computational Intelligence and Neuroscience, 2021(1), 9056947. https://doi.org/10.1155/2021/9056947
• Wang, Y. (2021). Artificial intelligence in educational leadership: A symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256-270. https://doi.org/10.1108/JEA-10-2020-0216
• Yuskovych-Zhukovska, V., Poplavska, T., Diachenko, O., Mishenina, T., Topolnyk, Y., & Gurevych, R. (2022). Application of artificial intelligence in education: Problems and opportunities for sustainable development. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1Sup1), 339-356.
• Zhang, J., & Goyal, S. B. (2024). AI-driven decision support system innovations to empower higher education administration. Journal of Computers, Mechanical and Management, 3(2), 35-41. https://doi.org/10.57159/gadl.jcmm.3.2.24070