Model of Enhansing the Quality of Agricultural Education Network (SHAK) as Perceived by Learners | ||
| پژوهش مدیریت آموزش کشاورزی | ||
| Volume 15, Issue 64, June 2023, Pages 11-35 PDF (596.54 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/jaear.2023.361895.1938 | ||
| Authors | ||
| Reihaneh Shagholi1; javad ghasemi* 2; hosein nouri3; ahmad sadeghi4 | ||
| 1Assistant Professor, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO) , Mashhad, Iran Po Box :19395-1113 | ||
| 2Assistant Professor, Agricultural Education and Extension Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| 3Associated Professor, Iranian Research Institute of Plant Protection (IRIPP), Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| 4Assistant Professor, Institute of Agricultural Education and Extension, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| Abstract | ||
| Agricultural Education Network is the educational network based on the website of the Institute of Agricultural Education and Extension, to improve the level of knowledge and job skills and professional behavior of agricultural stakeholders. The multiplicity of effective factors and variables in e-learning makes it necessary to pay attention to the quality of educational services in this system. Accordingly, the main purpose of this survey research was to analyzing components of service quality model of agricultural education network (SHAK) as perceived by learners. Statistical population of the study consisted of learners (N= 19310), out of whom 388 people determined as sample using Cochran's formula and stratified random sampling. Data were collected through a questionnaire; validity of questionnaire was approved by a panel of experts and construct validity (AVE≥0.96). Reliability of the questionnaire was approved by calculating the Ordinal Theta (θ≥0.93) and composite reliability (CR≥0.87). The collected data were analyzed by SPSSwin22 and LISREL software. The overall ranking of the SHAK service quality components showed that from the point of view of learners, the "educator" and "content" components were in the highest ranks and "planning and implementation" and "infrastructure - support" components were in the lowest ranks. Additionally, the results of the confirmatory factors analysis illustrated that the service quality model of the agricultural education network has six main components including: infrastructural-support, planning and implementation, content, educator, learners and results. Accordingly, it is recommended to improve the SHAK service quality through: improving the notification of courses, system upgrade, planning, adapt courses to the needs of the learners, updating the content, improving teaching skills and motivating learners. | ||
| Keywords | ||
| Elearning; Quality of Educational Services; Agricultural Education Network (SHAK); Agricultural Extension and Education | ||
| References | ||
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Aali, M., Narenji Thani, F., Keramati, M.R., & Garavand. A. (2020). A Model for Effectiveness of E-learning at University, Journal of Information Technology Management, 12(4), 121-140. Agarwal, H., & Kumar, A. (2013). E-learning For Agriculture Education in India, International Journal of Research in Engineering and Technology, 12(2), 101-104. Al-Harbi, K.A.S. (2011). E-Learning in the Saudi tertiary education: Potential and challenges, Applied Computing and Informatics, 9(1), 31-46. Arguelles, M., & Batalla-Busquets, J. (2016). Perceived service quality and student loyalty in an online university, International Review of Research in Open and Distributed Learning, 17(4), 264-279. Balakrishnan, R., Wason, M., Padaria, R.N., Singh, P., & Varghese, E. (2014). An analysis of constraints in E-learning and strategies for promoting E-learning among farmers, Economic Affairs, 59, 727-734. Cervero, A., Castro-Lopez, A., Alvarez-Blanco, L., Esteban, M., & Bernardo. A. (2020). Evaluation of educational quality performance on virtual campuses using fuzzy inference systems, PLOS ONE, 15(5). https://doi.org/10.1371/journal.pone.0232802. Chaudhary, S., & Dey, A.K. (2021). Influence of student-perceived service quality on sustainability practices of university and student satisfaction, Quality Assurance in Education: An International Perspective, 29(1), 29-40. Chiu, C.C., Shu, M.H., & Huang, J.C. (2015). Using Multimedia E-SERVQUAL to Measure E-learning Quality and Repurchasing Intention: Taiwan Knowledge Bank Case, Journal of East Eurasia inter-regional business administration, 14, 49-61. FAO. (2023). FAO eLearning Academy, About the Academy, Available at: https://elearning.fao.org/mod/page/view.php?id=4534. Gibson, A. (2010). Measuring business student satisfaction: A review and summary of the major predictors, Journal of Higher Education Policy and Management, 32(3), 251-259. Hall, T., Connolly, C., Grádaigh, S.Ó., Burden, K., Kearney, M., Schuck, S., & Kosmas, P. (2020). Education in precarious times: A comparative study across six countries to identify design priorities for mobile learning in a pandemic. Information and Learning Sciences, 121(5, 6), 433-442. Malanga, A.C.M., Bernardes, R.C. Borini, F.M. Pereira. R.M., & Rossetto, D.E. (2022). Towards integrating quality in theoretical models of acceptance: an extended proposed model applied to e-learning services, British Journal of Educational Technology, 53, 8-22. Omar AL-Momani, M., & Mahmoud Rababa. E. (2022). Mixed Education and Quality Standard in the University Teaching: A Theoretical Study Indonesian, Journal of Educational Research and Technology, 2(3), 155-174. Pham, L., Limbu, Y.B., Bui, T.K., Nguyen. H.T., & Pham. H.T. (2019). Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam. International Journal of Educational Technology in Higher Education, 16(7). https://doi.org/10.1186/s41239-019-0136-3. Sanga, C., Mlozi, M., Haug, R., & Tumbo, S. (2016). Mobile learning bridging the gap in agricultural extension service delivery: Experiences from Sokoine University of Agriculture, Tanzania, International Journal of Education and Development using Information and Communication Technology (IJEDICT), 12(3), 108-127. Sardar, Z., & Thomas, J.H. (2017). Rethinking Reform in Higher Education: From Islamization to Integration of Knowledge. International Institute of Islamic Thought, Cambridge. Sfenrianto, S., Tantrisna, E., Akbar, H., & Wahyudi, M. (2018). E-learning Effectiveness Analysis in Developing Countries: East Nusa Tenggara, Indonesia Perspective, Bulletin of Electrical Engineering and Informatics, 7(3), 417-424. Theresiawati, T., Seta, H.B., Hidayanto, A.N., & Abidin. Z. (2020). Variables affecting e-learning ser-vices quality in Indonesian higher education: Students’ perspectives, Journal of Information Technology Education: Research, 19, 259-286. Vlasceanu, L., Gru¨nberg, L., & Parlea, D. (2004). Quality Assurance and Accreditation: A Glossary of Basic Terms and Definitions (Bucharest, UNESCOCEPES) Papers on Higher Education. UNESCO – CEPES, Bucharest 2004. Zammel, I.B., Najar, T., & Belghith, A. (2018). Determinants of E-learning Effectiveness: The Case of Tunisian Virtual School of Post Office, In International Conference on Digital Economy, Digital Economy. Emerging Technologies and Business Innovation: Third International Conference, ICDEc 2018, Brest, France, May 3-5, 2018, pp: 165-172. | ||
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