Impact of Quality Assurance in Open, Distance and E-Learning Education on Students Learning Outcomes: Evidence from Distance Learning Centre, Ahmadu Bello University, Zaria
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Abstract
Distance education is fast becoming a popular mode of education because of its flexibility and accessibility. However, the quality of distance learning programs has been a great concern to education sector and practitioners in the academia. Thus, developing and maintaining high quality assurance in the integrated instructional design and active learning of distance education students is fundamental to their experience. This study examined the impact of quality assurance in distance learning on learning outcome of Ahmadu Bello University students. The specific aim of the study was to look at the impact of instructional design and active learning on students’ learning outcome. The population of the study was 5000 students of Ahmadu Bello University distance learning. A sample size of 344 participated in the study using simple random sampling technique. The study employed cross- sectional survey research design and Partial Least Square (PLS) path modelling for statistical analysis. The findings reported significant impact of instructional design students’ learning outcome (β = 0.264, STD= 0.035, t- value = 7.588 and p-value= 0.000). Similarly, active learning has significant impact on students’ learning outcome (β = 0.264, STD= 0.035, t- value = 7.588 and p-value= 0.000). In the light of these findings, the study therefore concluded that quality assurance of active learning and instructional design can potentially improve students’ learning and experience.
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Andriotis, N. (2017). How is corporate training different from academic learning? Retrieved October 21, 2022, from https://www.talentlms.com/blog/corporate-training-vs-academic-webbased-learning/
Aschaiek, S. (2021). How instructional designers enabled the great shift to digital learning amid COVID-19. Retrieved October 21, 2022, from https://www.universityaffairs.ca/news/newsarticle/how-instructional-designers-enabled-the-great-shift-to-digital-learning-amid-covid-19/
Basu, R. (2021). Instructional design models: Benefits and challenges. 41. 31-36.
Bennett J. & Bennett L. (2022), Assessing the quality of distance education programs: The faculty’s perspective. Journal of Computing in Higher Education, 13, 71-86.
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates Publishers.
Commonwealth of Learning (1997)
Commonwealth of Learning (2009)
Dillman, D. A. (2007) Mail and internet surveys: The tailored design method: 2007 with new internet, visual and mixed-mode guide. 2nd Edition, Wiley, Hoboken.
Egbokhare, F. O. (2016). Quality assurance in distance learning in Olayinka, A. I. & Adetimirin, V. O (eds) (2006). Quality Assurance in Higher Education. Proceeding of a Symposium to mark the African University Day, 2005 Postgraduate School, University of Ibadan, Nigeria.
Ferdousi, F., Ahmed, A. & Momen, M.A. (2022). Evolution of quality assurance practices in enhancing the quality of open and distance education in a developing nation: a case study", Asian Association of Open Universities Journal, 17(2), 147-160.
Fink, L. D. (2003). Creating significant learning experiences. San Francisco, CA: Jossey-Bass.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18, 382-388. http://dx.doi.org/10.2307/3150980
Gaftandzhieva, S. & Doneva, R. & Jagatheesaperumal, S. (2023). Approaches and tools for quality assurance in distance learning: State-of-play. International Journal of Advanced Computer Science and Applications. 14. 10.14569/IJACSA.2023.0140827.
Hair, J., Hult, T., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications, Inc.
Hair, J., Money, A., Page, M. & Samouel, P. (2011). Research methods for business. Routledge, London.
Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data analysis. 7th Edition, Pearson Education, Upper Saddle River.
Hartman, N. A. (2002). Quality assurance system in open and distance learning for normative judgment. HURIA, 4(1), 1-21.
Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advance in International Marketing, 20, 277-319.
Jung A. (2006), Quality assurance in UK higher education: issues of Trust, control, professional autonomy and accountability, High Education, 51, 541-563.
Keegan, D. (2002). Definition of distance education: Teaching and learning in higher education. Pearson Custom Publishing, Boston, MA, In
Bryant, M. S., Kahle, J. B., Schafer, B. A. (2005). Distance education: A review of the contemporary literature, Issues in Accounting Education, 20(3), 255 – 72
Khouri, (2022). Ask an instructional designer: Has technology changed the way we learn? Retrieved October 21, 2022, from https://trainingindustry.com/articles/content-development/askan-instructional-designer-has-technology-changed-the-way-we-learn/
Kihwelo, P. F. (2022). Quality assurance systems in open and distance learning: A search for normative judgement. Asian Association of Open Universities Journal, 17(2), 147-160.
Kline, R. B. (2011). Principles and practice of structural equation modelling. (3rd ed.). New York: Guilford Press
Kolb, D. A. (1984). Experiential Learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice-Hall.
Lizeth, A. Z., Yaneth, Q. C. C. & Carlos, H. R. (2019). Effectiveness of an instructional design in the academic performance of students of an online course. Volumen, 19(1). Enero-Junio 79-90
Lynch, M. (2020). Corporate Vs. educational eLearning. Retrieved October 21, 2022, from https://www.thetechedvocate.org/corporate-vs-educational-elearning/
Persky, A. M. (2018). Multi-faceted approach to improve learning in pharmacokinetics. American Journal of Pharmaceutical Education, 72(2), 1-7.
Priluck, R. (2004). Web-assisted courses for business education: An examination of two sections of principles of marketing. Journal of Marketing Education, 26, 161-173.
Quay, J. (2003). Experience and participation: Relating theories of learning. Journal of Experiential Education, 26, 105-112.
Quinn, J. (2020). Consultation model: At the end of the day. In Quinn, J. (Ed) The learner centered instructional designer: Purposes, processes, and practicalities of creating online courses in higher education, 27-36. Stylus publishing.
Seaton, L. J., & Boyd, M. (2018). The effective use of simulations in business courses. International Journal of Business Research and Information Technology. 1. 71-82.
Stella R. & Gnanam T. (2024). Quality assurance in online, open, and distance education. In Zawacki-Richter, O. & Jung, I. (Eds.), Handbook of open, distance and digital education (pp. 709-725). Springer. https://doi.org/10.1007/978-981-19-2080-6
Stewart, A. & Houghton, S. & Rogers, P. (2012). Instructional design, active learning, and student performance using a trading room to teach strategy. Journal of Management Education. 36. 753-776. 10.1177/1052562912456295.
United Nation Education Scientific Cultural Organization (2002)
University of South Africa (2008).
Vieger, R. (2020). Concierge model: The full-service guide. In Quinn, J. (Ed) The learner centered instructional designer: Purposes, Processes, and Practicalities of Creating Online Courses in Higher Education, 13-26). Stylus publishing.
Wang, C. X. (2021). CAFE: An instructional design model to assist K-12 teachers to teach remotely during and beyond the COVID-19 pandemic. TechTrends, 65(1), 8-16.
Weick, K. E. (1995). Sensemaking in organizations. Thousand Oaks, CA: Sage.