10.57647/j.fomj.2025.8508

Developing an ANFIS model to Assess and Predict Significance of Various Dimensions of Iran's Education Digital Transformation Roadmap

  1. Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
  2. Faculty of Management, Economics and Progress Engineering, University of Science and Technology, Tehran, Iran

Received: 2025-01-28

Revised: 2025-03-22

Accepted: 2025-03-28

Published in Issue 2025-04-23

How to Cite

Gholamzadeh, Z., Khamseh, A., & Parsanejad, M. . (2025). Developing an ANFIS model to Assess and Predict Significance of Various Dimensions of Iran’s Education Digital Transformation Roadmap. Fuzzy Optimization and Modeling Journal (FOMJ), 6(1). https://doi.org/10.57647/j.fomj.2025.8508

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Abstract

In recent years, the digital revolution in education has had a transformative effect on learning management systems in many countries. The personalisation of education, driven by digital technologies, has led to a significant increase in the importance of creating a strategic roadmap for the effective use of these technologies in both education and agriculture in Iran. It is imperative for policymakers to assess and predict the significance of the dimensions of digital transformation when developing a roadmap. The present research identifies four key dimensions affecting digital transformation: cultural, economic, institutional, and educational. Each dimension, along with its components, was evaluated using ANFIS modelling as input. The study gathered the opinions of 96 participants through targeted sampling, which included educational policymakers, school principals, senior users of digital technology, and managers of knowledge-based companies involved in digital technology for education. The data analysis and calculation results indicated that the cultural dimension ranked first, with an importance score of 4.23. This finding underscores the importance of this dimension and its components in shaping the roadmap for digital transformation in Iran's education system. The model's validity was further confirmed by an error percentage of 0.00015, which was determined through analysis.

Keywords

  • Digital transformation roadmap,
  • Adaptive neural fuzzy inference system (ANFIS),
  • Education

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