Academic staff perception and their readiness to use MOODLE learning platform in Tanzania higher learning institutions

Elimeleck Parmena Akyoo; Issaya Hassanal

doi:10.51867/ajernet.7.1.23

Authors

Elimeleck Parmena Akyoo
eparmena@gmail.com
Tanzania Institute of Accountancy, Tanzania https://orcid.org/0009-0005-2390-1850
Issaya Hassanal Tanzania Institute of Accountancy, Tanzania

Keywords:

Academic Staff Perception, Higher Learning Institution, MOODLE, Online Learning Platform, Tanzania

Abstract

The purpose of this study was to examine perceptions and readiness of academic staff to use the Modular Object-Oriented Dynamic Learning Environment (MOODLE) online learning platform in Higher Learning Institutions (HLIs). This study was guided by the Technology Acceptance Model. This study adopted a sequential exploratory mixed-methods design. The sampling unit consisted of academic staff from higher learning institutions (HLIs). Quantitative data were collected through a structured questionnaire from a sample of 155 academic staff across eight campuses of the Tanzania Institute of Accountancy (TIA). Using the academic staff register, a campus sub-sample was determined for each campus, and thereafter, a simple random sampling was used to select respondents from each campus. Quantitative data were analyzed descriptively using a Likert scale, while qualitative data were analyzed using thematic content analysis with constant comparison. There was an association between campuses and perceptions of MOODLE use. The results indicate differences across campuses, with staff at campuses with better Information and Communication Technology (ICT) infrastructure (e.g., Dar es Salaam, Mtwara, Kigoma) having strongly positive perceptions. The results further show that, across 18 statements, academic staff perceptions of MOODLE use were positive in 15. This implies that infrastructure and local support influence perceptions, and campuses lacking institutional commitment to e-learning and poor infrastructure result in low morale about MOODLE. It is recommended that institutes provide a strong and reliable internet connection, increase bandwidth, and establish a dedicated MOODLE support team or help desk. Institutions should train academic staff to use MOODLE and possibly mandate certain uses in coursework. Lastly, institutions should incorporate e-learning into their strategic plan, recognizing and rewarding innovative uses of MOODLE in teaching.

Dimensions

REFERENCES

Almasi, M., Machumu, H., & Kalimasi, P. (2025). Exploring students' perceptions of MOODLE as a tool for enhancing transformative learning in a rural university in Tanzania. International Journal of Distance Education and E-Learning (IJDEEL), 11(1), 1-17.

Alomani, S., Almdahrsh, M., Alessa, S., & Bushnag, A. (2025, March). Smart farming: Leveraging a deep. In Applied Cognitive Computing and Artificial Intelligence: 8th International Conference, ACC 2024, and 26th International Conference, ICAI 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22-25, 2024, Revised Selected Papers (Vol. 2251, p. 452). Springer Nature. https://doi.org/10.1007/978-3-031-85628-0_32 DOI: https://doi.org/10.1007/978-3-031-85628-0_32

Amankwah, F., Sarfo, F. K., Aboagye, M. O., Konin, D., & Dzakpasu, R. K. (2024). Concerns of university teachers about the adoption of the MOODLE learning management system in a Ghanaian university campus. Education Inquiry, 15(3), 312-332.

https://doi.org/10.1080/20004508.2022.2109849 DOI: https://doi.org/10.1080/20004508.2022.2109849

Anthony, B., Kamaludin, A., Romli, A., Raffei, A. F. M., Abdullah, A., & Ming, G. L. (2019). Exploring the role of blended learning for teaching and learning effectiveness in institutions of higher learning: An empirical investigation. Education and Information Technologies, 24(6), 3433-3466.

https://doi.org/10.1007/s10639-019-09941-z DOI: https://doi.org/10.1007/s10639-019-09941-z

Anthony, B., Kamaludin, A., Romli, A., Raffei, A. F. M., Phon, D. N. A. E., Abdullah, A., & Ming, G. L. (2022). Blended learning adoption and implementation in higher education: A theoretical and systematic review. Technology, Knowledge and Learning, 27(2), 531-578.

https://doi.org/10.1007/s10758-020-09477-z DOI: https://doi.org/10.1007/s10758-020-09477-z

Balaskas, S., Tsiantos, V., Chatzifotiou, S., Lourida, L., Rigou, M., & Komis, K. (2025). Understanding behavioral intention to use MOODLE in higher education: The role of technology acceptance, cognitive factors, and motivation. Systems, 13(6), Article 412, 1-21.

https://doi.org/10.3390/systems13060412 DOI: https://doi.org/10.3390/systems13060412

Cooper, D., & Schindler, P. (2014). Business research methods (E-book). McGraw Hill.

Courtney, A. M. (2017). The value of mixed methods research: A mixed methods study. Journal of Mixed Methods Research, 11(2), 202-222.

https://doi.org/10.1177/1558689815607096 DOI: https://doi.org/10.1177/1558689815607096

Creswell, J. W., & Plano-Clark, C. V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publishers.

Dampson, D. G. (2021). Determinants of learning management system adoption in an era of COVID-19: Evidence from a Ghanaian university. European Journal of Education and Pedagogy, 2(3), 80-87. https://doi.org/10.24018/ejedu.2021.2.3.94 DOI: https://doi.org/10.24018/ejedu.2021.2.3.94

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008

Huang, C. Y., Wang, H. Y., Yang, C. L., & Shiau, S. J. (2020). A derivation of factors influencing the diffusion and adoption of an open-source learning platform. Sustainability, 12(18), Article 7532. https://doi.org/10.3390/su12187532 DOI: https://doi.org/10.3390/su12187532

Korsah, D. P. (2024). Adoption and utilization of MOODLE learning management system for emergency remote teaching: A UTAUT perspective. Educational Point, 1(2), e111. https://doi.org/10.71176/edup/15730 DOI: https://doi.org/10.71176/edup/15730

Kothari, N., Hague, S., Hinze, L., & Dever, J. (2017). Boll sampling protocols and their impact on measurements of cotton fiber quality. Industrial Crops and Products, 109, 248-254. https://doi.org/10.1016/j.indcrop.2017.07.045 DOI: https://doi.org/10.1016/j.indcrop.2017.07.045

Mtebe, J. S., & Kondoro, A. W. (2016, May). Using mobile MOODLE to enhance MOODLE LMS accessibility and usage at the University of Dar es Salaam. In 2016 IST-Africa Week Conference (pp. 1-11). IEEE. https://doi.org/10.1109/ISTAFRICA.2016.7530649 DOI: https://doi.org/10.1109/ISTAFRICA.2016.7530649

Mustafa, A. S., & Ali, N. (2023). The adoption and use of MOODLE in online learning: A systematic review. Information Sciences Letters, 12(1), 341-351. https://doi.org/10.18576/isl/120129 DOI: https://doi.org/10.18576/isl/120129

Owusu-Bempah, E., Opoku, D., & Sam-Mensah, R. (2022). Gender differences in e-learning success in a developing country context: A multi-group analysis. European Journal of Education and Pedagogy, 3(4), 61-69. https://doi.org/10.24018/ejedu.2022.3.4.410 DOI: https://doi.org/10.24018/ejedu.2022.3.4.410

Qashou, A. (2021). Influencing factors in m-learning adoption in higher education. Education and Information Technologies, 26(2), 1755-1785. https://doi.org/10.1007/s10639-020-10323-z DOI: https://doi.org/10.1007/s10639-020-10323-z

Sabah, N. M. (2020). Motivation factors and barriers to the continuous use of blended learning approach using MOODLE: Students' perceptions and individual differences. Behaviour & Information Technology, 39(8), 875-898. https://doi.org/10.1080/0144929X.2019.1623323 DOI: https://doi.org/10.1080/0144929X.2019.1623323

Salloum, S. A., Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M. A., & Shaalan, K. (2021). What impacts the acceptance of e-learning through social media? An empirical study. In Recent Advances in Technology Acceptance Models and Theories (pp. 419-431).

https://doi.org/10.1007/978-3-030-64987-6_24 DOI: https://doi.org/10.1007/978-3-030-64987-6_24

Shagama, B. (2021). Users' perception of the quality of water service delivery in Iramba and Singida districts. African Journal of Accounting and Social Science Studies, 2(2), 14-28. https://doi.org/10.64717/ajass.v2i02.7

Soko, Y., Mpundu, M., & Yangailo, T. (2024). Determinants of learning management system (LMS) adoption by university students for distance learning. Indonesian Journal of Educational Research and Technology, 4(2), 171-186.

Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row.

Ziraba, A., Akwene, G. C., & Lwanga, S. C. (2020). The adoption and use of MOODLE learning management system in higher institutions of learning: A systematic literature review. American Journal of Online and Distance Learning, 2(1), 1-21.