Abstract
The Covid-19 destruction cannot be undone but the pandemic also created novel opportunities. Digitization of teaching and learning in Higher Education Institutions (HEIs) through the introduction of digital platforms like Learning Management Systems (LMS) received unprecedented attention and funding. However, the developmental gains depend on the LMS’s continued use by both lecturers and students. The utilization of LMSs for teaching and learning by lecturers in Ghanaian HEIs is low and related research is limited. Therefore, this paper reports on an investigation into the factors influencing the usage of LMSs by lecturers in Ghana using a qualitative interpretive approach to improve LMS adoption. Data was collected through focus group discussions with lecturers across four HEIs and analyzed thematically using Atlas.ti. When compared with LMS adoption factors from literature the findings revealed previously unidentified contextual factors affecting the use of LMSs among lecturers. This study contributes to addressing the gap in LMS studies on Ghana and makes a novel contribution by highlighting the influence of environmental and financial factors on LMS usage and the implications of students’ financial status, physical location, classroom infrastructure, and accommodating diversity in religious traditions as factors influencing LMS use. These findings highlight digital technology’s potential to distribute access more equitably but also to increase inequality. Therefore, an understanding of contextual factors and policy implications’ impact on the inclusiveness of digital transformation in the Global South is critical. Attention to these factors could improve the use of LMSs towards harnessing the developmental benefits as intended.
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References
Asamoah, M.K., Oheneba-Sakyi, Y.: Factors influencing the willingness, and reluctance of lecturers to embrace learning management systems in two selected Ghanaian universities. E-Learn. Digit. Media. (2023). https://doi.org/10.1177/20427530231156172
Amankwah, F., Sarfo, F.K., Aboagye, M.O., Dzakpasu, R.K.: Concerns of university teachers about the adoption of the Moodle learning management system in a Ghanaian University campus. Educ. Inq. 00, 1–21 (2022). https://doi.org/10.1080/20004508.2022.2109849
Gamede, B.T., Ajani, O.A., Afolabi, O.S.: Exploring the adoption and usage of learning management system as alternative for curriculum delivery in South African higher education institutions during Covid-19 lockdown. Int. J. High. Educ. 11, 71 (2021). https://doi.org/10.5430/ijhe.v11n1p71
Hussein, M.H., Ow, S.H., Ibrahim, I., Mahmoud, M.A.: Measuring instructors continued intention to reuse Google classroom in Iraq: a mixed-method study during COVID-19. Interact. Technol. Smart Educ. 18, 380–402 (2020). https://doi.org/10.1108/ITSE-06-2020-0095
Tagoe, M.: Incorporating E-learning into teaching and learning at University of Ghana: perceptions of faculty. Ghana Soc. Sci. J. 10, 55–78 (2013)
Opoku, D., Pobee, F., Okyireh, R.O.: Determinants of E-learning system adoption among Ghanaian university lecturers: an application of information system success and technology acceptance models. Am. J. Soc. Sci. Hum. 5, 151–168 (2020). https://doi.org/10.20448/801.51.151.168
Alfalah, A.A.: Factors influencing students’ adoption and use of mobile learning management systems (m-LMSs): a quantitative study of Saudi Arabia. Int. J. Inf. Manag. Data Insights. 3, 100143 (2023). https://doi.org/10.1016/j.jjimei.2022.100143
Bousbahi, F., Alrazgan, M.S.: Investigating IT faculty resistance to learning management system adoption using latent variables in an acceptance technology model. Sci. World J. 2015 (2015). https://doi.org/10.1155/2015/375651
Sakala, L.C., Chigona, W.: How lecturers neutralize resistance to the implementation of learning management systems in higher education. J. Comput. High. Educ. 32, 365–388 (2019). https://doi.org/10.1007/s12528-019-09238-7
Al-Nuaimi, M.N., Al-Emran, M.: Learning management systems and technology acceptance models: a systematic review. Educ. Inf. Technol. 26(5), 5499–5533 (2021). https://doi.org/10.1007/s10639-021-10513-3
Lavidas, K., Komis, V., Achriani, A.: Explaining faculty members’ behavioral intention to use learning management systems. J. Comput. Educ. 9, 707–725 (2022). https://doi.org/10.1007/s40692-021-00217-5
Lavidas, K., et al.: Predicting the behavioral intention of Greek university faculty members to use Moodle. Sustainability 15, 1–12 (2023). https://doi.org/10.3390/su15076290
Kaewsaiha, P., Chanchalor, S.: Factors affecting the usage of learning management systems in higher education. Educ. Inf. Technol. 26, 2919–2939 (2021). https://doi.org/10.1007/s10639-020-10374-2
Altalbe, A.L.I.: Antecedents of actual usage of e-learning system in high education during COVID-19 pandemic: moderation effect of instructor support. IEEE Access 9, 93119–93136 (2021). https://doi.org/10.1109/ACCESS.2021.3087344
Fathema, N., Shannon, D., Ross, M.: Expanding the technology acceptance model (TAM) to examine faculty use of learning management systems (LMSs) in higher education institutions. MERLOT J. Online Learn. Teach. 11, 210–232 (2015)
Grant, M.J., Booth, A.: A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info. Libr. J. 26, 91–108 (2009). https://doi.org/10.1111/j.1471-1842.2009.00848.x
Adu, A.S.Y., Van Biljon, J.: Perceived usability in learning management systems’ adoption: a study of higher education institutions in Ghana. In: Ndayizigamiye, P., Twinomurinzi, H., Kalema, B., Bwalya, K., Bembe, M. (eds.) IDIA 2022. CCIS, vol. 1774, pp. 251–266 (2023). https://doi.org/10.1007/978-3-031-28472-4_16
Asamoah, M.K., Oheneba-Sakyi, Y., Tagoe, M.: Faculty acceptance of the utilization of learning management systems in teaching. E-learning digit. Media. 0, 1–21 (2023). https://doi.org/10.1177/20427530231156168
Ikhsan, R.B., Prabowo, H.: Drivers of the mobile-learning management system’s actual usage: applying the UTAUT model. ICIC Express Lett. Part B Appl. 12, 1067–1074 (2021). https://doi.org/10.24507/icicelb.12.11.1067
Yakubu, M.N., Dasuki, S.I., Abubakar, A.M., Kah, M.M.O.: Determinants of learning management systems adoption in Nigeria: a hybrid SEM and artificial neural network approach (2020)
Alsmadi, M.K.: The students’ acceptance of learning management systems in Saudi Arabian universities. Int. J. Electr. Comput. Eng. 10, 4155–4161 (2020). https://doi.org/10.11591/ijece.v10i4.pp4155-4161
Hussein, L.A., Hilmi, M.F.: The influence of convenience on the usage of learning management system. Electron. J. e-Learn. 19, 504–515 (2021). https://doi.org/10.34190/ejel.19.6.2493
Alomari, M.M., El-Kanj, H., Alshdaifat, N.I., Topal, A.: A framework for the impact of human factors on the effectiveness of learning management systems. IEEE Access 8, 23542–23558 (2020). https://doi.org/10.1109/ACCESS.2020.2970278
Kumar, J.A., Bervell, B., Osman, S.: Google classroom: insights from Malaysian higher education students’ and instructors’ experiences. Educ. Inf. Technol. 25, 4175–4195 (2020). https://doi.org/10.1007/s10639-020-10163-x
Alshammari, S.H.: The influence of technical support, perceived self-efficacy, and instructional design on students’ use of learning management systems. Turkish Online J. Distance Educ. 21, 112–141 (2020). https://doi.org/10.17718/TOJDE.762034
Moonsamy, D., Govender, I.: Use of blackboard learning management system: an empirical study of staff behavior at a South African University 14, 3069–3082 (2018)
Coleman, E., Mtshazi, S.: Factors affecting the use and non-use of Learning Management Systems (LMS) by academic staff. South African Comput. J. 29, 31–63 (2017). https://doi.org/10.18489/sacj.v29i3.459
Abdallah, N.A.O., Ahlan, A.R., Abdullah, O.A.: Factors affecting instructors’ adoption of learning management systems: a theoretical framework. In: Proceedings - 6th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2016, pp. 13–18 (2016)
Asiri, M.J.S., Bakar, K.A., Ayub, A.F.B.M.: Bin: factors influencing the use of learning management system in Saudi Arabian higher education: a theoretical framework. High. Educ. Stud. 2, 125–137 (2012). https://doi.org/10.5539/hes.v2n2p125
Ssekakubo, G., Suleman, H., Marsden, G.: Issues of adoption: have E-learning management systems fulfilled their potential in developing countries? (2011)
Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77–101 (2006). https://doi.org/10.1191/1478088706qp063oa
Creswell, J.W., Creswell, J.D.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publishing (2017)
LeCompte, M.D.: Analyzing qualitative data. Theory Pract. 39, 146–154 (2000). https://doi.org/10.1207/s15430421tip3903_5
Javadi, M., Zarea, K.: Understanding thematic analysis and its pitfall. J. Client Care. 1 (2016). https://doi.org/10.15412/j.jcc.02010107
Kalpokaite, N., Radivojevic, I.: Demystifying qualitative data analysis for novice qualitative researchers. Qual. Rep. 24, 44–57 (2019). https://doi.org/10.46743/2160-3715/2019.4120
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This paper is based on research supported by the South African Research Chair’s Initiative of the Department of Science and Technology and National Research Foundation of South Africa (grant no. 98564).
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Adu, A.S.Y., Van Biljon, J. (2024). Factors Influencing Learning Management Systems Use Among Lecturers in Ghanaian Higher Education Institutions. In: Chigona, W., Kabanda, S., Seymour, L.F. (eds) Implications of Information and Digital Technologies for Development. ICT4D 2024. IFIP Advances in Information and Communication Technology, vol 708. Springer, Cham. https://doi.org/10.1007/978-3-031-66982-8_15
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