E-learning is related to the use of electronic systems and applications within the learning processes. E-learning facilitates the possibility of remote interaction between students and experienced teachers/professors. In particular, E-learning facilitates an efficient way using appropriate information and communication tools and mechanisms. This study investigates the challenges that affect the E-learning implementation among university students in Yemen. This study aims to identify the factors that can affect the students’ E-learning environment. A quantitative approach is employed in this study. Questionnaires were distributed to the higher education students who were studying either in public and private universities in Yemen. Research results indicate that there are significant factors including internet discussion, technology access, motivation, and important factors for success towards the E-learning implementation in universities in Yemen. This study also shows that E-learning implementation at Yemen is still at infancy stage in education system. Nevertheless, it is recommended to use E-learning platforms as the presentation of supporting materials instead of continuing the virtual teaching. This study reveals that cultural differences, technology enhancement and education policies are vital to support the implementation of E-learning in Yemen’s universities.
Abumandour, E.-S. T. (2020). Public libraries' role in supporting e-learning and spreading lifelong education: a case study. Journal of Research in Innovative Teaching & Learning, ahead-of-print(ahead-of-print). doi:10.1108/JRIT-06-2019-0063
Al-Absi, A. S. A. Y., & Yordzhev, K. (2019). Historical, Social and Psychological Preconditions for the Development of E-learning in Yemen's Higher Education.
Aldholay, A., Abdullah, Z., Isaac, O., & Mutahar, A. M. (2020). Perspective of Yemeni students on use of online learning: Extending the information systems success model with transformational leadership and compatibility. Information Technology & People, 33(1), 106-128.
Alhabeeb, A., & Rowley, J. (2018). E-learning critical success factors: Comparing perspectives from academic staff and students. Computers & Education, 127, 1-12. doi:https://doi.org/10.1016/j.compedu.2018.08.007
Ali, S., Uppal, M. A., & Gulliver, S. R. (2018). A conceptual framework highlighting e-learning implementation barriers. Information Technology & People.
Almaiah, M. A., A. Al-Khasawneh, and A. Althunibat. 2020. Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and information technologies 25 (6):5261-5280. doi.org/10.1007/s10639-020-10219-y
Azlan, C. A., Wong, J. H. D., Tan, L. K., A.D. Huri, M. S. N., Ung, N. M., Pallath, V., . . . Ng, K. H. (2020). Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia. Physica Medica, 80, 10-16. doi:https://doi.org/10.1016/j.ejmp.2020.10.002
Bagherzadeh Azar, M., Taheri, F., Jami Pour, M., & Hosseinzadeh, M. (2017). Developing a new framework for evaluating e-learning systems: integrating BSC and FAHP. Kybernetes, 46(8), 1303-1324. doi:10.1108/K-02-2017-0060
Barteit, S., Guzek, D., Jahn, A., Bärnighausen, T., Jorge, M. M., & Neuhann, F. (2020). Evaluation of e-learning for medical education in low- and middle-income countries: A systematic review. Computers & Education, 145, 103726.
doi:https://doi.org/10.1016/j.compedu.2019.103726
Bergadano, F. (2019). Keyed learning: An adversarial learning framework—formalization, challenges, and anomaly detection applications. 41(5), 608-618. doi:10.4218/etrij.2019-0140
Chou, S.-W. (2020). Understanding relational virtual community members’ satisfaction from a social learning perspective. Journal of Knowledge Management, 24(6), 1425-1443. doi:10.1108/JKM-12-2019-0683
Drachsler, H., & Kalz, M. (2016). The MOOC and learning analytics innovation cycle (MOLAC): a reflective summary of ongoing research and its challenges. 32(3), 281-290. doi:10.1111/jcal.12135
Ehsani, A., Rajabion, L., Nazif, M., Badfar, A., & Wakil, K. (2019). A new model for evaluating the effect of cloud computing on the e-learning development. Journal of Workplace Learning, 31(5), 324-344. doi:10.1108/JWL-12-2018-0156
Ellis, L., & Roberts, L. (2020). Exploring the use and quality of Internet discussion forums in pregnancy: A qualitative analysis. Birth, 47(1), 153-161.
doi:https://doi.org/10.1111/birt.12459
Embi, M. A., Abdul Wahab, Z., Sulaiman, A. H., Atan, H., Ismail, M., & Mohd Nordin, N. (2011). E-learning in Malaysian higher education institutions: Status, trends, & challenges. Department of Higher Education Ministry of Higher Education.
Gulliver, S. R., Uppal, M. A., & Ali, S. (2018). A conceptual framework highlighting e-learning implementation barriers. Information Technology & People, 31(1), 156-180. doi:10.1108/ITP-10-2016-0246
Gunesekera, A. I., Kibelloh, M., & Bao, Y. (2019). The role of usability on e-learning user interactions and satisfaction: a literature review. Journal of Systems and Information Technology, 21(3), 368-394. doi:10.1108/JSIT-02-2019-0024
Hao, Y. 2016. Exploring undergraduates' perspectives and flipped learning readiness in their flipped classrooms. Computers in Human Behavior 59:82-92.
doi.org/10.1016/j.chb.2016.01.032 0747-5632
Harrison, M. I., & Shortell, S. M. (2018). Multi-level analysis of the learning health system: Integrating contributions from research on organizations and implementation. n/a(n/a), e10226. doi:10.1002/lrh2.10226
Ibrahim, N. K., Al Raddadi, R., AlDarmasi, M., Al Ghamdi, A., Gaddoury, M., AlBar, H. M., & Ramadan, I. K. (2021). Medical students’ acceptance and perceptions of e-learning during the Covid-19 closure time in King Abdulaziz University, Jeddah. Journal of Infection and Public Health, 14(1), 17-23.
doi:https://doi.org/10.1016/j.jiph.2020.11.007
Isaac, O., Aldholay, A., Abdullah, Z., & Ramayah, T. (2019). Online learning usage within Yemeni higher education: The role of compatibility and task-technology fit as mediating variables in the IS success model. Computers & Education, 136, 113-129. doi:https://doi.org/10.1016/j.compedu.2019.02.012
Johnson, C. C., Sondergeld, T., & Walton, J. B. (2017). A Statewide Implementation of the Critical Features of Professional Development: Impact on Teacher Outcomes. 117(7-8), 341-349. doi:10.1111/ssm.12251
Karkar, A. J., Fatlawi, H. K., & Al-Jobouri, A. A. J. E. J. o. e.-L. (2020). Highlighting E-learning Adoption Challenges using data Analysis Techniques: University of Kufa as a Case Study. 18(2).
Kelly, M. (2017). The implementation of the Care Programme Approach for service users with a learning disability. Building Bridges to the same Old Horizons? , 24(6), 396-402. doi:10.1111/jpm.12398
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Krouska, A., Troussas, C., & Virvou, M. (2019). SN-Learning: An exploratory study beyond e-learning and evaluation of its applications using EV-SNL framework. 35(2), 168-177. doi:10.1111/jcal.12330
Logan, R. M., Johnson, C. E., & Worsham, J. W. (2021). Development of an e-learning module to facilitate student learning and outcomes. Teaching and Learning in Nursing, 16(2), 139-142. doi:https://doi.org/10.1016/j.teln.2020.10.007
Long, J., Liu, T.-Q., Liao, Y.-H., Qi, C., He, H.-Y., Chen, S.-B., & Billieux, J. (2016). Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC Psychiatry, 16(1), 408. doi:10.1186/s12888-016-1083-3
Mahfouf, Z., Bouchrika, I., & Harrati, N. (2017). Investigating the uptake of educational systems by academics using the technology to performance chain model. Library Hi Tech, 35(4), 629-648. doi:10.1108/LHT-01-2017-0029
Majanja, M. K. (2020). The status of electronic teaching within South African LIS Education. Library Management, 41(6/7), 317-337. doi:10.1108/LM-05-2020-0084
Makhdoom, N., Khoshhal, K. I., Algaidi, S., Heissam, K., & Zolaly, M. A. (2013). ‘Blended learning’ as an effective teaching and learning strategy in clinical medicine: a comparative cross-sectional university-based study. Journal of Taibah University Medical Sciences, 8(1), 12-17. doi:https://doi.org/10.1016/j.jtumed.2013.01.002
Meskhi, B., Ponomareva, S., & Ugnich, E. (2019). E-learning in higher inclusive education: needs, opportunities and limitations. International Journal of Educational Management, 33(3), 424-437. doi:10.1108/IJEM-09-2018-0282
Mirzamohammadi, M. (2017). The Feasibility of ELearning Implementation in an Iranian University. Electronic Journal of e-Learning, 15(5), pp424433-pp424433.
Mohamed, R., & Samsudeen, S. N. (2019). University students’ intention to use e-learning systems. Interactive Technology and Smart Education, 16(3), 219-238.
doi:10.1108/ITSE-11-2018-0092
Muilenburg, L. Y., & Berge, Z. L. J. D. E. (2005). Student barriers to online learning: A factor analytic study. 26(1), 29-48.
O’Doherty, D., Dromey, M., Lougheed, J., Hannigan, A., Last, J., & McGrath, D. (2018). Barriers and solutions to online learning in medical education–an integrative review. BMC Med Educ, 18(1), 130.
Pillai, K. R., & Prakash, A. V. (2017). Technological leverage in higher education: an evolving pedagogy. Journal of International Education in Business, 10(2), 130-146. doi:10.1108/JIEB-09-2016-0034
Pour, M. J., Hosseinzadeh, M., & Mesrabadi, J. (2019). A comprehensive framework to rank cloud-based e-learning providers using best-worst method (BWM). Online Information Review, 44(1), 114-138. doi:10.1108/OIR-08-2018-0249
Srivastava, P. R., Panigrahi, R., & Panigrahi, P. K. (2020). Effectiveness of e-learning: the mediating role of student engagement on perceived learning effectiveness. Information Technology & People, ahead-of-print (ahead-of-print). doi:10.1108/ITP-07-2019-0380
Strompolis, M., Cain, J. M., Wilson, A., Aldridge II, W. A., Armstrong, J. M., & Srivastav, A. (2020). Community capacity coach: Embedded support to implement evidenced-based prevention. 48(4), 1132-1146. doi:10.1002/jcop.22375
Sun, W., Deng, Y., Yang, Y., & Chen, M. (2019). Knowledge management and e-learning in virtual learning community based on social network analysis. Library Hi Tech, 37(4), 906-917. doi:10.1108/LHT-11-2018-0170
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53.
Tawafak, R. M., Alfarsi, G., AlNuaimi, M. N., Eldow, A., Malik, S. I., & Shakir, M. (2020). Model of Faculty Experience in E-Learning Student Satisfaction. Paper presented at the 2020 International Conference on Computer Science and Software Engineering (CSASE).
Weber, A. S., & Hamlaoui, S. (2018). E-Learning in the Middle East and North Africa (MENA) Region: Springer.
Yassin, A. A., Razak, N. A., Maasum, N. R. M. J. I. J. O. V., & Environments, P. L. (2019). Investigating the Need for Computer Assisted Cooperative Learning to Improve Reading Skills Among Yemeni University EFL Students: A Needs Analysis Study. 9(2), 15-31.
Yilmaz, R. (2017). Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Computers in Human Behavior, 70, 251-260. doi:https://doi.org/10.1016/j.chb.2016.12.085
Yusuf, I., & Widyaningsih, S. W. (2020). Implementing E-Learning-Based Virtual Laboratory Media to Students' Metacognitive Skills. International Journal of Emerging Technologies in Learning, 15(5).
Zahedi, M. H., & Dehghan, Z. (2019). Effective E-learning Utilizing Internet of Things. Paper presented at the 2019 13th Iranian and 7th National Conference on e-Learning and e-Teaching (ICeLeT).
In-Text Citation: (Ahmed & Zaini, 2022)
To Cite this Article: Ahmed, B. Y. M., & Zaini, S. M. (2022). The Challenges of E-learning Implementation among University Students in Yemen. International Journal of Academic Research in Business and Social Sciences, 12(10), 577– 592.
Copyright: © 2022 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode