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Information Journal Paper

Title

A Study of E-Learning Maturity in Higher Agricultural Education Using Artificial Neural Network

Pages

  117-128

Abstract

 Background: Being a relatively new learning mode, E-learning offers a comprehensive solution for those institutions seeking to adopt modern technologies and transform their teaching methods and environments. The present study employed Misra and Dhingra model to assess E-learning maturity in the field of agriculture in Iran using artificial neural network. Methods: This cross-sectional study was performed based on six levels of Misra and Dhingra model. It was conducted among 340 graduate agriculture students and 177 faculty members at four universities including Bu Ali Sina, Tehran, Hormozgan, and Mashahd universities. The participants were selected based on proportional sampling method from July 1 to September 28, 2019. A validated researcher-made questionnaire was used for data collection, and Weka software version 3. 9. 2 was employed for data analysis. Results: The results indicated that the level of academic achievement in the field of agriculture can be predicted based on the Misra and Dhingra model. Furthermore, E-learning was at the fourth level in this field in Iran’ s higher education. Conclusions: In general, educational facilities and infrastructures were identified to be suitable for E-learning implementation in Iran’ s higher education institutions.

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    APA: Copy

    MIRZAYI, KHALIL, & SEPAHPANAH, MARJAN. (2021). A Study of E-Learning Maturity in Higher Agricultural Education Using Artificial Neural Network. INTERDISCIPLINARY JOURNAL OF VIRTUAL LEARNING IN MEDICAL SCIENCES (IJVLMS), 12(2), 117-128. SID. https://sid.ir/paper/784301/en

    Vancouver: Copy

    MIRZAYI KHALIL, SEPAHPANAH MARJAN. A Study of E-Learning Maturity in Higher Agricultural Education Using Artificial Neural Network. INTERDISCIPLINARY JOURNAL OF VIRTUAL LEARNING IN MEDICAL SCIENCES (IJVLMS)[Internet]. 2021;12(2):117-128. Available from: https://sid.ir/paper/784301/en

    IEEE: Copy

    KHALIL MIRZAYI, and MARJAN SEPAHPANAH, “A Study of E-Learning Maturity in Higher Agricultural Education Using Artificial Neural Network,” INTERDISCIPLINARY JOURNAL OF VIRTUAL LEARNING IN MEDICAL SCIENCES (IJVLMS), vol. 12, no. 2, pp. 117–128, 2021, [Online]. Available: https://sid.ir/paper/784301/en

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