Strategy for Culture

Strategy for Culture

Designing a policy-making model based on artificial intelligence in educational organizations

Document Type : Original Article

Author
akram safari
Assistant Professor, Farhangian University, Tehran, Iran.
10.22034/jsfc.2025.496660.2758
Abstract
Artificial intelligence is one of the tools that can create significant changes in the learning method. The present study was applied and in terms of research method, mixed, of the type of sequential exploratory design. In the qualitative stage, 30 external documents were analyzed using the content analysis method according to the level of theoretical saturation. The validity of the codes was confirmed using the researcher's self-review method and the reliability was confirmed using the test-retest reliability and inter-coder reliability. In the quantitative stage, after examining the validity (face) and reliability (Cronbach's alpha test) of the researcher-made questionnaire, a statistical sample of 59 people was determined using the Morgan table according to the statistical population (70 people) and distributed among the statistical sample by random sampling. The results showed that the policy-making model based on artificial intelligence in educational organizations includes necessities, characteristics, requirements and consequences. The challenges of this model also included the technical, educational, and social ethics domains. In the technical dimension, the inability to study soft skills related to personality, attitude, commitment, and human behavior; in the educational dimension, the intensification of educational inequalities with the increase in the digital divide among learners; and in the social ethics dimension, the possibility of making unethical decisions ranked highest among the challenges.
Keywords
Artificial Intelligence
Educational Organizations
Pattern Design
Policy Making

Subjects

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