Correlating the role of transformational leadership in the learning organization of education workers in Alborz province with the approach of artificial neural network (ANN)

Document Type : Original Article

Authors

1 PhD student in Curriculum Planning, Faculty of Educational Sciences and Psychology, Azad University, Research Sciences Unit, Tehran, Iran

2 PhD student in Educational Management, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran

3 Professor, Department of Educational Sciences, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran

4 Associate Professor, Department of Educational Sciences, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran

5 Assistant Professor, Department of Educational Sciences, Farhangian University, Tehran, Iran

10.22098/ael.2024.15624.1461

Abstract

Background and Objective: Organizations need transformational leadership to improve their learning in continuously changing environments. The present research was conducted with the aim of identifying the role of transformational leadership in the learning organization of education workers of Alborz province with the approach of artificial neural network (ANN).
research methodology: The statistical population of this study included education workers of Alborz province with a population of 460 people in 1403. The random sampling method was simple. The sample size was considered to be 132 according to the Krejci-Morgan model. To collect data, the transformational leadership questionnaire of Bass and Avolio (2000) and the researcher questionnaire of Mir Aghapour Aghdam Learning Organization (2008) were used. The validity of the instruments was confirmed by the opinion of professors of educational sciences and psychology. The data were analyzed with Multi Layer Perceptron (MLP) artificial neural network in Spss.25 software. The results showed that the transformational leadership communication on the learning organization has an input layer with 6 nodes and a hidden layer with 6 nodes and the artificial neural network is well able to predict the jumps and trends of the learning organization from the transformational leadership. slow nose
Findings: The findings show that ideal characteristics (0.100) have the most influence and developmental support (individual considerations) (17.2) have the least influence on the importance coefficient of the learning organization.
Conclusion: Training and coaching of leaders in the education organization can strengthen the quality of transformational leadership and also improve it. In this way, it is hoped that the learning level of the organization can be increased in relation to the vision and mission of the organization and to cultivate a more coherent and motivated workforce.

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History

  • Receive Date: 12 August 2024
  • Revise Date: 15 November 2024
  • Accept Date: 15 November 2024

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