Modeling the Future School with an Emphasis on the Role of Artificial Intelligence in Primary Education (Case Study: Primary Schools of Golestan Province)
Keywords:
School of the future, artificial intelligence, elementary schoolsAbstract
Future schools, by utilizing the capabilities of artificial intelligence, will experience novel approaches in the teaching-learning process, student assessment, and educational management. The aim of this study was to design a model of the future school in which artificial intelligence plays a key role in enhancing learning processes and the management of primary schools. The research method was mixed; the statistical population in the design phase included faculty members from the fields of Computer Engineering - Artificial Intelligence, IT, Information Technology Management Engineering, and Educational Management at higher education institutions, as well as senior managers and experts from the Informatics Department of the Education System and specialists in the fields of "Future Schools" and "Artificial Intelligence in Education." In the validation phase, the population consisted of faculty members of Information Technology Management Engineering and Educational Management at higher education centers in Golestan Province, along with senior managers of the Education Department of this province. In the quantitative phase, the population included all formal and contractual teachers of girls’, boys’, and coeducational primary schools in Golestan Province during the 2023-2024 academic year, totaling 5,919 teachers. In the qualitative phase, 18 experts were selected using the snowball sampling method; in the validation phase, 20 experts were selected using purposive sampling; and in the quantitative phase, 361 teachers were selected using cluster random sampling and Cochran's formula. For data analysis, in the qualitative section, the grounded theory method was employed through open, axial, and selective coding using semi-structured interviews; in the validation phase, the Delphi method was used over three stages with an expert checklist tool and SPSS software; and in the quantitative phase, structural equation modeling was used with a 100-item questionnaire in Smart PLS software. According to the results of the qualitative and validation sections, the paradigmatic model included 12 main categories and 24 subcategories, detailed as follows: Causal conditions (cultural readiness for accepting artificial intelligence, artificial intelligence infrastructure, family-centered interaction with artificial intelligence, intra-institutional participation with artificial intelligence, active learning based on artificial intelligence, and effective learning based on artificial intelligence); Contextual conditions (enhancement of virtual networks with artificial intelligence, social interactions based on artificial intelligence, civic behavior regarding artificial intelligence, teaching-learning policies based on artificial intelligence, and cultural education focused on artificial intelligence); Intervening conditions (institutional conflicts regarding artificial intelligence, technical challenges concerning artificial intelligence, management and supervision in intelligentization, and resource dependency regarding artificial intelligence); Strategy (ease of access to artificial intelligence, assessment based on artificial intelligence, gradual implementation of artificial intelligence, creative learning through artificial intelligence, and content and process changes focused on artificial intelligence); and Outcomes (improvement of speed and quality of education through artificial intelligence, educational equity through artificial intelligence, academic motivation through the application of artificial intelligence, and enhancement of creativity and innovation through the application of artificial intelligence), along with 100 indicators. The results of the quantitative section showed that all dimensions and components of the research model were confirmed.
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References
Amirkhani Nia, M., Tohidi, P., & Mirzamani, S. H. (2025). Investigating the Impact of Artificial Intelligence on the Academic Advancement of Female Students at Shahrekord Technical and Vocational College. Quarterly Journal of New Research Approaches in Management and Accounting, 8(92), 847-858. https://majournal.ir/index.php/ma/article/view/2521
Beare, H. (2013). Creating the Future School. Routledge. https://doi.org/10.4324/9780203132074
Bennett, L., & Abusalem, A. (2024). Artificial Intelligence (AI) and its Potential Impact on the Future of Higher Education. Athens Journal of Education, 11(3), 195-212. https://doi.org/10.30958/aje.11-3-2
Berger, J. G., & Johnston, K. (2015). Simple Habits for Complex Times: Powerful Practices for Leaders. Stanford University Press. https://doi.org/10.1002/ltl.20201
Čerka, P., Grigienė, J., & Sirbikytė, G. (2017). Is it possible to grant legal personality to artificial intelligence software systems? Computer Law and Security Review, 33(5), 685-699. https://doi.org/10.1016/j.clsr.2017.03.022
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., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, Article 103855. https://doi.org/10.1016/j.compedu.2020.103855
Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10(12), 1-26. https://doi.org/10.1186/s40561-023-00231-3
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data-evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Fullan, M., & Scott, G. (2014). Education Plus, New Pedagogies for Deep Learning. Collaborative Impact SPC, Washington, DC. https://michaelfullan.ca/education-plus/
Gidiotis, I., & Hrastinski, S. (2024). Imagining the future of artificial intelligence in education: A review of social science fiction. Learning, Media and Technology. https://doi.org/10.1080/17439884.2024.2365829
Gilbert, J., & Bull, A. (2015). On the Edge: Shifting Teachers' Paradigms for the Future. Teaching and Learning Research Initiative Research Completed Report. https://tlri.org.nz/wp-content/uploads/2024/05/1171-Final-Report.pdf
Hart, S. A. (2016). Precision education initiative: Moving toward personalized education. Mind, Brain, and Education, 10, 209-211. https://doi.org/10.1111/mbe.12109
Hoseini Moghaddam, M. (2024). Artificial Intelligence and the Future of University Education in Iran. Quarterly Journal of Research and Planning in Higher Education, 29(1), 1-25. https://doi.org/10.61838/irphe.29.1.1
Hwang, G. J. (2014). Definition, framework and research issues of smart learning environments-a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(1), 1-14. https://doi.org/10.1186/s40561-014-0004-5
Jafari, Z. (2023). The Impact of Artificial Intelligence on the Learning and Teaching Process in Iran's Educational System. Presented at the 5th International Conference on Interdisciplinary Studies in Management and Engineering, https://en.civilica.com/doc/1507448/
Joseph, S., & Nirmala, D. (2019). Professional Challenges Faced by Women School Counsellors-A Case Study Analysis. International Journal of Research in Social Sciences, 9(2). https://www.researchgate.net/publication/331950815_Professional_Challenges_Faced_by_Women_School_Counsellors_-A_Case_Study_Analysis
Karsenti, T. (2019). Artificial intelligence in education: the urgent need to prepare teachers for tomorrow's schools. Formation et profession, 27(1), 112-116. https://doi.org/10.18162/fp.2019.a166
Kay, J. (2012). AI and education: grand challenges. IEEE Intelligent Systems, 27, 66-69. https://doi.org/10.1109/MIS.2012.92
Kuppusamy, P. (2019). Smart Education Using Internet of Things Technology. https://doi.org/10.4018/978-1-5225-8446-9.ch017
Lathuilière, S., Massé, B., Mesejo, P., & Horaud, R. (2019). Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction. Pattern Recognition Letters, 118, 61-71. https://doi.org/10.1016/j.patrec.2018.05.023
Li, J., Li, P., & Niu, W. (2020). Artificial intelligence applications in upper gastrointestinal cancers. The Lancet Oncology, 21, e4. https://doi.org/10.1016/S1470-2045(19)30721-1
Lim, M. H. (2015). How Singapore Teachers in a Pioneer 'School of the Future' Context 'Deal With' the Process of Integrating Information and Communication Technology into the School Curriculum. The Australian Educational Researcher, 42(1). https://doi.org/10.1007/s13384-014-0153-0
Mondal, K. (2019). A Synergy of Artificial Intelligence and Education in the 21st Century Classrooms. Paper presented at the 2019 International Conference on Digitization (ICD), https://doi.org/10.1109/ICD47981.2019.9105727
Morck, O., Thomsen, K. E., & Jorgensen, B. E. (2015). School of the Future: Deep energy renovation of the Hedegaards School in Denmark. Energy Procedia, 78, 3324-3329. https://doi.org/10.1016/j.egypro.2015.11.745
Nouri Hasanabadi, K., Sobhani, A., Hashemzadeh Khorasgani, G., & Abbaspour Esfeden, G. (2020). Presenting a Model for Improving Education Quality Using Emerging Technologies in Smart Schooling. School Management Scientific Quarterly, 8(1), 47-76. https://www.sid.ir/paper/379273/en
Nouri Hasanabadi, K., Sobhani, A., Hashemzadeh Khorasgani, G., Abbaspour Esfeden, G., & Javadi, Z. S. (2021). Validation of a Model for Improving Education Quality with an Internet of Things and Cloud Computing Approach in Smart Schools Implementation. Bimonthly scientific-research journal of educational strategies in medical sciences, 14(5), 276-285. https://edcbmj.ir/article-1-2449-en.html
Oprea, M. (2019). The Integration of IoT Projects in Undergraduate Education. The 15th International Scientific Conference eLearning and Software for Education, Bucharest, https://doi.org/10.12753/2066-026X-19-043
Panetta, K. (2018). Gartner top 10 strategic technology trends for 2018. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2018/
Rezaei, F., & Faghih Abdollahi, A. (2024). Investigating the Application of Artificial Intelligence in the Education System. Presented at the 8th National Conference on New Approaches in Education and Research, https://en.civilica.com/doc/1953722/
Roshan, S. A., Yaghoubi, N. M., & Momeni, A. R. (2022). Application of Artificial Intelligence in the Public Sector: A Meta-Synthesis Study. Iranian journal of management sciences, 16(61), 117-145. https://journal.iams.ir/article_349.html
Sadeghi, Z., & Shafiepour Motlagh, F. (2025). Career Paths of Future Teachers Based on Artificial Intelligence and Model Presentation. Teaching Research Journal, 12(2), 184-209. https://journals.uok.ac.ir/article_63597.html?lang=en
Sharifi, N., Shah Talebi, B., & Etebarian Khorasgani, A. (2020). The Future School in Iran: A Grounded Theory Approach. Journal of Cultural Sociology, 11(2), 87-115. https://www.sid.ir/paper/1060528/en
Sheikh Shoa'i, H. (2021). Challenges, Roles, and Policy-Making of Artificial Intelligence Research in Education. Presented at the 3rd International Conference on Management, Tourism, and Technology, https://en.civilica.com/doc/1353371/
Sheikhi, Y. (2021). Digital Intelligence: A New Concept in the School of the Future. Presented at the 2nd National Conference on the School of the Future, https://en.civilica.com/doc/1404330/
Sullivan, D. (2018). Teachers' "Transformational Learning"? A Case Study of Teachers' Views of Knowledge as They Participate in a Collaborative Think Tank.
Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature medicine, 25, 44-56. https://doi.org/10.1038/s41591-018-0300-7
Williams-Pierce, C., & Swartz, T. F. (2016). Learning by Design: Teacher Pioneers. On the Horizon, 24(3). https://doi.org/10.1108/OTH-05-2016-0024
Xu, Z., Li, X., & Chen, J. (2020). The Future Development of Education in the Era of Artificial Intelligence (Vol. 356). https://doi.org/10.1007/978-3-030-69066-3_30
Zakeri, A., & Taheri Damaneh, M. (2020). A Foresight Study on Different Dimensions of Education: Presenting a Vision of the Future Interdisciplinary School. Journal of New Educational Approaches, 15(1), 133-156. https://nea.ui.ac.ir/article_25412.html
Zhao, Y. (2024). Artificial Intelligence and Education: End the Grammar of Schooling. ECNU Review of Education, 1-18. https://doi.org/10.1080/00131911.2024.2354639
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