Identifying, Validating, and Prioritizing the Principles of Management, Design & Development and Promotion of AI in Educational Systems

Document Type : Scientific - Research

Author

Assistant Professor, Department of Educational Sciences, Payame Noor University, Tehran Iran

10.48308/mpes.2025.238571.1548

Abstract

Objectives: The vital role of technology in the advancement of science and the unpredictability of its achievements in the future has made technology acceptance in educational systems necessary. Artificial intelligence is the most advanced technology that has been able to transform today's world. We may not be able to predict the future of its development and progress; but we must design and develop it intelligently and consciously, and consider principled strategies for its management. Paying attention to the principles of artificial intelligence development during design and being aware of how to manage it will pave the way for reducing the harms and challenges of this emerging technology and, on the contrary, for its correct and conscious, practical, and effective use. Therefore, it must be intelligently and consciously managed, designed, developed and promoted, and consider basic strategies for it.The purpose of the present study is to identify, validate and prioritize the principles of management,design and development and promotion of AIED.
 Materials and Methods: This was an applied research with a mixed method and used two content analysis and descriptive approaches.To identify the principles of management,design,development and promotion of AIED,19 subject experts were conducted,and data were analyzed in Maxqda according to Strauss and Corbin method. Sampling in this section was purposeful and the criterion for selecting the sample was theoretical saturation of the data, and the validity of the originality of the data was confirmed by 6 subject matter experts. In the quantitative section, in order to prioritize and validate the identified principles, 168 postgraduate students of the Computer Science Faculty of Shiraz and Shiraz Universities of Technology (95 people in the University of Technology and 194 people in Shiraz University) were selected based on the Morgan table using a relative stratified random method (35% in the University of Technology and 65% in the University of Shiraz) and then using a simple random method.The instrument of this questionnaire included all the components identified in the qualitative section (34 components) whose reliability was confirmed with the Alpha for0.95.The data in this section  in SPSS and AMOSE were preceded by the Friedman test and validated by CFA.
Discussion and Conclusion: The findings in the qualitative section included 3 selected codes and 8 core codes and 34 open codes included management principles (14 codes),design and development principles (14 codes) and promotion principles (6 code) .In the principles of managing the necessary policies for ethical application of AI, preventing the weakening of the learner's performance and performance, the coordination of standards in the first three ranks, in the principles of design and development of design and development based on the principle of access and use of fair use, design and development and deployment Based on adherence to ethical principles and values, investment in developing data intelligence technologies in the first three ranks and in the principles of promoting knowledge and awareness of users' awareness of the consequences of unethical use of AI,development of technical support by colleges and authorities for proper application, cultivation Trust among users  and create a positive mentality in this area are at the top three. But given that the average of all components is higher than the hypothetical average,so all the principles are of great importance and attention to them will improve the status of management, design and develop and promote AI in educational systems. In addition,based on the results of the CFA,all the principles have excellent fit (RMSEA = 0.000). The results show that AI developers must always be careful, vigilant, and responsible throughout the design, development, management, and promotion cycle, and in order to ensure the robustness and safety of this technology, they must focus their activities on precise guidelines and principles so that they can gain the trust of AI users in education (teachers and learners) and enable fair and secure benefits. Therefore, by keeping in mind the principles identified in this study, AI systems can be designed that, in addition to preserving the values ​​of society and considering the country's progress and development prospects, take full advantage of the transformative potential of this technology, and by deploying it in educational systems, create conditions for progress and development in all sectors of society.

Keywords

References

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Journal of Management and Planning In Educational System
Volume 18, Issue 2 - Serial Number 35
September 2025
Pages 201-228

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