Designing a Mobile Training System in Rural Areas with Bayesian Factor Models

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Authors

Maryam Omidi Najafabadi, Seyed Mehdi Mirdamadi, Department of Agricultural Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Iran., Iran (Islamic Republic Of) ; Amir Teimour Payandeh Najafabadi, Mathematical Sciences Department, Shahid Beheshti University,G.C. Evin, 1983963113, Tehran, Iran, Iran (Islamic Republic Of)

International Journal on E-Learning, February 2014 ISSN 1537-2456

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Abstract

The facts that the wireless technologies (1) are more convenient; and (2) need less skill than desktop computers, play a crucial role to decrease digital gap in rural areas. This study employed the Bayesian Confirmatory Factor Analysis (CFA) to design a mobile training system in rural areas of Iran. It categorized challenges, potential, and requirements of such mobile training system into 6, 3, and 4 factors, respectively. Namely, it pointed out and, respectively, ranked (1) the system’s challenges as “Human, Phone Company, Organizational, Technical, Expertise, and Security”; (2) “Post harvest, Pre-cultivation, and Crop cultivation & harvesting stages” as the system’s potentials; and (3) “Attitude toward the system, Mobile Skills, Self-directed learning skills, and Opinion about the price” as the system’s requirements.

Citation

Omidi Najafabadi, M., Mirdamadi, S.M. & Payandeh Najafabadi, A.T. (2014). Designing a Mobile Training System in Rural Areas with Bayesian Factor Models. International Journal on E-Learning, 13(1), 23-39. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 12, 2024 from https://www.learntechlib.org/p/39176.

© 2014 AACE