Vol. 40 No. 1 (2025)
Research Articles

Socio-demographic Factors Predicting Botho/Ubuntu in Online Education at an Open University Context

Ishmael Magare
Botswana Open University
Bio
Shika Trivedi
Botswana Open University
Bio
Joseph Kasozi
Botswana Open University
Bio

Published 2025-07-11

How to Cite

Magare, I., Trivedi, S., & Kasozi, J. (2025). Socio-demographic Factors Predicting Botho/Ubuntu in Online Education at an Open University Context. International Journal of E-Learning & Distance Education Revue Internationale Du E-Learning Et La Formation à Distance, 40(1). https://doi.org/10.55667/10.55667/ijede.2025.v40.i1.1374

Abstract

In this study, we investigated the impact of socio-demographic factors on the manifestation of Botho/Ubuntu philosophy in online education. We used Albert Bandura's Social Cognitive Theory to understand how Botho influences stakeholders' attitudes and actions. We employed a quantitative approach with a cross-sectional design and gathered data through a survey. The respondents in the study included staff, tutors, and students associated with an open university. We conveniently selected a sample of 263 respondents from the open university’s five regional campuses and headquarters. The findings indicated that age, marital status, and tenure with the university significantly influenced stakeholders' perceptions of Botho principles in online teaching and learning. This study highlights the importance of incorporating Botho/Ubuntu principles in online education to establish inclusive and supportive virtual learning environments. Educators can use these findings to foster student engagement and success. However, further research is necessary to comprehensively understand the effect of Botho/Ubuntu principles on student outcomes and explore stakeholders' perspectives on their effectiveness.

References

  1. Asif Naveed, M., & Mahmood, M. (2019). Information literacy self-efficacy of business students in Pakistan. Libri, 69(4), 303–314. https://doi.org/10.1515/libri-2018-0123
  2. Asiri, M. J. S., Mahmud, R., Bakar, K. A., Ayub, A. F. M., & Bakadam, E. S. (2015). Barriers to using Jusur Learning Management System in Saudi Arabia Universities. Journal of Research in Curriculum Instruction, 1(4), 49–62. http://dx.doi.org/10.21608/jrciet.2015.24539
  3. Bandura, A. (1988). Organisational applications of social cognitive theory. Australian Journal of Management, 13(2), 275–302. https://doi.org/10.1177/031289628801300210
  4. Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. https://doi.org/10.1016/0749-5978(91)90022-L
  5. Bandura, A. (1998). Health promotion from the perspective of social cognitive theory. Psychology and Health, 13(4), 623–649. https://doi.org/10.1080/08870449808407422
  6. Bhadgaonkar, P. (2023). Relationship between prosocial behaviour and aggression among college students. International Journal of Interdisciplinary Research and Innovations, 11(1), 5–10. https://doi.org/10.5281/zenodo.7520289
  7. Birbal, R., Ramdass, M., & Harripaul, C. (2018). Student teachers’ attitudes towards blended learning. Journal of Education and Human Development, 7(2), 9–26. https://doi.org/10.15640/jehd.v7n2a2
  8. Cheng, X., Qiao, L., Yang, B., & Han, R. (2023). To trust or not to trust: a qualitative study of older adults’ online communication during the COVID-19 pandemic. Electronic Commerce Research, 25, 849–878. https://doi.org/10.1007/s10660-023-09679-4
  9. Chiang, C. L. (2003). Statistical methods of analysis. World Scientific Connect. https://www.worldscientific.com/worldscibooks/10.1142/5224
  10. Chigangaidze, R. K. (2022). Utilising ubuntu in social work practice: ubuntu in the eyes of the multimodal approach. Journal of Social Work Practice, 36(3). https://doi.org/10.1080/02650533.2021.1981276
  11. Chung, E., Subramaniam, G., & Dass, L. C. (2020). Online learning readiness among university students in Malaysia amidst Covid-19. Asian Journal of University Education, 16(2), 46–58. https://doi.org/10.24191/AJUE.V16I2.10294
  12. Constantino, G. D., & Raffaghelli, J. E. (2020). Online teaching and learning: going beyond the information given. In M. G. Di Gesu, & M. F. Gonzalez (Eds.), Cultural views on online learning in higher education, pp. 3–28. Springer. https://doi.org/10.1007/978-3-030-63157-4_1
  13. Dewi, E. K., Santosa, T. T., & Rusmawati, D. (2023). The relationship between gender, age, and prosocial behavior in college students. Proceedings of International Conference on Psychological Studies (ICPsyche), 4(1), 87–95. https://doi.org/10.58959/icpsyche.v4i1.27
  14. Ewuoso, C., & Hall, S. (2019). Core aspects of ubuntu: a systematic review. South African Journal of Bioethics and Law, 12(2), 93–103. https://doi.org/10.7196/SAJBL.2019.v12i2.679
  15. Field, A. P. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage.
  16. Firat, M., & Bozkurt, A. (2020). Variables affecting online learning readiness in an open and distance learning university. Educational Media International, 57(2), 112–127. http://dx.doi.org/10.1080/09523987.2020.1786772
  17. Flamand, L. (2017). Limitations of social cognitive theory. The Classroom. https://www.theclassroom.com/limitations-of-social-cognitive-theory-12215528.html
  18. Ghazali, A. F., Othman, A. K., Sokman, Y., Zainuddin, N. A., Suhaimi, A., Mokhtar, N. A., & Yusoff, R. M. (2021). Investigating social cognitive theory in online distance and learning for decision support: the case for community of inquiry. International Journal of Asian Social Science, 11(11), 522–538. https://doi.org/10.18488/journal.1.2021.1111.522.538
  19. Haverila, M. (2011). Prior e-learning experience and perceived learning outcomes in an undergraduate e-learning course. Journal of Online Learning and Teaching, 7(2), 206–218.
  20. Hazra, A., & Gogtay, N. J. (2016). Biostatistics Series Module 6: Correlation and linear Regression. Indian Journal of Dermatology, 61(6), 593–601. http://dx.doi.org/10.4103/0019-5154.193662
  21. Hung, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: scale development and student perceptions. Computers & Education, 55(3), 1080–1090. https://doi.org/10.1016/J.COMPEDU.2010.05.004
  22. Kasozi, J. A., Gaotlhobogwe, M., & Mogalakwe, M. (2024). Developing an Indigenous graduate research supervision culture in open and distance e-learning environments using as a framework. In Global perspectives on decolonizing postgraduate education, pp. 82-94. IGI Global. http://dx.doi.org/10.4018/979-8-3693-1289-6.ch006
  23. Kay, R. H. (2009). Examining gender differences in attitudes toward interactive classroom communications systems (ICCS). Computers & Education, 52(4), 730–740. https://doi.org/10.1016/J.COMPEDU.2008.11.015
  24. Kör, H., Erbay, H., Demir, E., & Akmeşe, Ö. F. (2016). A study on the factors affecting the academic performance of distance education students and formal students. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(2). https://doi.org/10.17218/hititsosbil.280829
  25. Lee, C., Yeung, A. S., & Ip, T. (2016). Use of computer technology for English language learning: do learning styles, gender, and age matter? Computer Assisted Language Learning, 29(5). https://doi.org/10.1080/09588221.2016.1140655
  26. Letseka, M. (2013). Anchoring ubuntu morality. Mediterranean Journal of Social Sciences, 4(3), 351–359. https://doi.org/10.5901/mjss.2013.v4n3p351
  27. Letseka, M. M. (2016). Introduction: Open Distance Learning (ODL) and the philosophy of ubuntu. In Open Distance Learning (ODL) through the philosophy of ubuntu. Nova Science Publishers.
  28. Makafane, D. T., & Chere-Masopha, J. (2021). COVID-19 crisis: challenges of online learning in one university in Lesotho. African Perspectives of Research in Teaching & Learning, 5(1). https://conf.ul.ac.za/aportal/application/downloads/Article_5_6_2021.pdf
  29. Marovah, T., & Mutanga, O. (2023). Decolonising participatory research: can ubuntu philosophy contribute something? International Journal of Social Research Methodology, 27(5), 501–516. https://doi.org/10.1080/13645579.2023.2214022
  30. Mathew, V. N., & Chung, E. (2020). University students’ perspectives on Open and Distance Learning (ODL) implementation amidst COVID-19. Asian Journal of University Education, 16(4), 152–160. https://doi.org/10.24191/ajue.v16i4.11964
  31. Middleton, L., Hall, H., & Raeside, R. (2019). Applications and applicability of social cognitive theory in information science research. Journal of Librarianship and Information Science, 51(4). https://doi.org/10.1177/0961000618769985
  32. Molefe, M., & Muade, E. (2023). Ubuntu ethics, ubuntu, and moral status. In African Ethics and Death. Routledge. https://doi.org/10.4324/9781032658490-4
  33. Morin, D., Fard, H. S., & Saadé, R. G. (2019). Understanding online learning based on different age categories. Issues in Informing Science and Information Technology, 16(1), 307–317. https://doi.org/10.28945/4313
  34. Mthimkhulu, S. (2024). Ubuntugogy as a viable pedagogical construct in African education: a literature review. Journal of Culture and Values in Education, 7(1), 83–98. https://doi.org/10.46303/jcve.2024.6
  35. Nagunwa, T., & Lwoga, E. T. (2012). Developing an eLearning strategy to implement medical competency based curricula: experiences from Muhimbili University of Health and Allied Sciences. International Conference on Education and E-Learning Innovations, 1–6. https://doi.org/10.1109/ICEELI.2012.6360589
  36. Navarro, D., & Foxcroft, D. (2025). 12. Correlation and linear regression. In Learning statistics with jamovi: a tutorial for beginners in statistical analysis, pp. 255–294. https://doi.org/10.11647/obp.0333.12
  37. Ndwambi, M., Hlabane, S., Motlhabane, D., & Malgas, A. (2022). Incorporating ubuntu principles in a tutor training programme to promote academic success and wellbeing. SOTL in the South, 6(1), 138–147. https://doi.org/10.36615/sotls.v6i1.206
  38. Ngubane, N., & Makua, M. (2021). Ubuntu pedagogy – transforming educational practices in South Africa through an African philosophy: from theory to practice. Inkanyiso, 13(1). https://doi.org/10.4102/ink.v13i1.9
  39. Ngubane-Mokiwa, S. A. (2016). Chapter 12: Delivering open distance e-learning through ubuntu values. In M. Letseka (Ed.), Open Distance Learning (ODL) through the philosophy of ubuntu, pp. 147-162. Nova Science Publishers.
  40. Nworu, N. F. (2023). The ubuntu philosophy in community development in Iyowa community, Edo state, Nigeria. International Journal of Philosophy, 2(1), 26–44. https://doi.org/10.47941/ijp.1280
  41. Nxumalo, S. A., & Mncube, D. W. (2018). Using Indigenous games and knowledge to decolonise the school curriculum: ubuntu perspectives. Perspectives in Education, 36(2), 103–118. https://doi.org/10.18820/2519593X/pie.v36i2.9
  42. Omodan, B. I. (2022). Deconstructing psychological implications of student unrest among university students through ubuntu. International Journal of Educational Research Open, 3. https://doi.org/10.1016/j.ijedro.2022.100211
  43. Omodan, B. I., & Diko, N. (2021). Conceptualisation of ubuntugogy as a decolonial pedagogy in Africa. Journal of Culture and Values in Education, 4(2), 95–104. https://doi.org/10.46303/jcve.2021.8
  44. Pocze, Z. (2023). Self-directed learning and the collective approach of ubuntu pedagogy: enhancing the self among others. In Advancing self-directed learning in higher education, pp. 25–42. IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-6772-5.ch003
  45. Rafique, G. M., Mahmood, K., Warraich, N. F., & Rehman, S. U. (2021). Readiness for online learning during COVID-19 pandemic: a survey of Pakistani LIS students. Journal of Academic Librarianship, 47(3). https://doi.org/10.1016/j.acalib.2021.102346
  46. Ramamoorthy, S., Ramamoorthy, P., & Samayan, K. V. S. J. (2024). Exploring challenges and satisfaction from e- learning in higher secondary grade school students in rural Tamil Nadu. International Journal for Multidisciplinary Research, 6(2). https://doi.org/10.36948/ijfmr.2024.v06i02.19256
  47. Ramose, M. B. (2003). The philosophy of ubuntu and ubuntu as a philosophy. In P. H. Coetzee, & A. P. J. Roux (Eds.), The African Philosophy Reader (2nd ed.), 230–238. Routledge.
  48. Rezabeigi Davarani, E., Nekoei-Moghadam, M., Khanjani, N., Iranpour, A., Chashmyazdan, M., & Farahmandnia, H. (2023). Factors related to earthquake preparedness of households based on social-cognitive theory constructs: a systematic review. Frontiers in Public Health, 11, 987418. https://doi.org/10.3389/fpubh.2023.987418
  49. Rizvi, S., Rienties, B., & Khoja, S. A. (2019). The role of demographics in online learning: a decision tree-based approach. Computers & Education, 137(2), 32–47. http://dx.doi.org/10.1016/j.compedu.2019.04.001
  50. Sanpanich, N. (2021). Investigating factors affecting students' attitudes toward hybrid learning. Reflections, 28(2), 208–227. http://dx.doi.org/10.61508/refl.v28i2.253093
  51. Sefotho, M. M. (2016). Chapter 7: Perspectives on ODL: teaching and learning through ubuntu. In M. Letseka (Ed.), Open Distance Learning (ODL) through the philosophy of ubuntu, pp. 77–92. Nova Science Publishers.
  52. Setlhodi, I. I. (2023). Increasing teaching capacity for supporting students in an ODeL institution. In S. Tawiah, & I. I. Setlhodi (Eds.), Promoting the socio-economic wellbeing of marginalized individuals through adult education, pp. 53–72. IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-6625-4.ch004
  53. Shandu-Phetla, T., Ngubane, S. A., & Adigun, O. T. (2023). Injecting ubuntu in designing accessible virtual learning for students with disabilities. In O. Mutanga (Ed.), Ubuntu philosophy and disabilities in Sub-Saharan Africa, pp. 88–108. Routledge.
  54. Wang, W. (2019). Hypothesis tests, analysis and discussion. In Institutional activism in corporate governance, pp. 211–237. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-19577-9_9
  55. Ziemann, V. (2021). Regression models and hypothesis testing. In Physics and finance: undergraduate lecture notes in physics, pp. 69–90. Springer. https://doi.org/10.1007/978-3-030-63643-2_7