The Impact of Using Modern Educational Technologies on the Development of Deep Learning among Employees of the General Directorate of Grain and Commercial Services of East Azerbaijan Province

The present study aimed to examine the impact of using modern educational technologies on the development of deep learning among employees of the General Directorate of Grain and Commercial Services of East Azerbaijan Province. In terms of purpose, this research is applied, and in terms of methodology, it is a descriptive–survey study of a correlational type. The statistical population consisted of all employees of this organization, from which 135 individuals were selected as the sample using Cochran’s formula through simple random sampling. Data collection instruments included a questionnaire on modern educational technologies based on Davis’s Technology Acceptance Model (1989) and the Revised Two-Factor Study Process Questionnaire developed by Biggs, Kember, and Leung (2001) to measure deep learning. The validity of the instruments was confirmed through expert judgment and confirmatory factor analysis, and their reliability was verified using Cronbach’s alpha coefficient. Data were analyzed using descriptive and inferential statistics, including Pearson correlation and multiple regression analysis. The findings indicated a positive and significant relationship between the dimensions of modern educational technologies and employees’ deep learning. Furthermore, the results of multiple regression analysis revealed that the dimensions of modern educational technologies significantly explained a considerable proportion of the variance in deep learning. Among these dimensions, multimedia content and mobile learning had the greatest impact on the development of deep learning. Overall, the effective use of modern educational technologies can enhance the quality of organizational learning and improve employees’ professional competencies.