Designing a Mobile Training System in Rural Areas with Bayesian Factor Models
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 Volume 13, Number 1, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
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.
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).
© 2014 Association for the Advancement of Computing in Education (AACE)