Examining eLearning system self-efficacy amongst instructors at the University of Dodoma, Tanzania

Joel Mtebe

Abstract


Higher learning institutions in Africa have been investing in various eLearning systems (also referred to as learning management systems) aiming at improving the quality of teaching and learning. However, non-use or low usage of these systems amongst users is a significant setback for their success. Studies indicate that first-order barriers such as unreliable electricity power, shortage of computers, and Internet connectivity inhibit users from using these systems. This study examined system self-efficacy amongst instructors using mixed sequential explanatory design with data collected from 357 instructors at the University of Dodoma through questionnaires followed by focus group discussions. The adapted independent factors: performance accomplishments and vicarious experience from Bandura (1977), and organizational support from Higgins and Compeau (1995) were subjected to linear regression analysis to determine the causal relationship with system self-efficacy. The study found that vicarious experience and organizational support had a significant effect on system self-efficacy amongst instructors. These findings show that examining system self-efficacy amongst instructors is critical to help those who are implementing eLearning systems in finding strategies that will increase system usage.


Keywords


self-efficacy, computer self-efficacy, eLearning systems, learning management systems, system self-efficacy, LMS, academic development, online learning, higher education

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References


Althobaiti, M. M., & Mayhew, P. (2016). Assessing the Usability of Learning Management System: User Experience Study. In Second International Conference on E-Learning, E-Education, and Online Training (pp. 9–18). https://doi.org/10.1007/978-3-319-28883-3

Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191

Bandura, A. (1986). Social Foundations of Thought and Action. Prentice Hall.

Bandura, A. (1989). Social cognitive theory. In Annals of child development. Six theories of child development (Vol. 6, pp. 1–60). Greenwich, CT: JAI Press.

Bandura, A. (2006). Guide for constructing self-efficacy scales. In Self-efficacy beliefs of adolescents (pp. 307–337). https://doi.org/10.1017/CBO9781107415324.004

Bervell, B., & Umar, I. N. (2017). A decade of LMS acceptance and adoption research in Sub-Sahara African higher education: A systematic review of models, methodologies, milestones, and main challenges. Eurasia Journal of Mathematics, Science and Technology Education, 13(11), 7269–7286. https://doi.org/10.12973/ejmste/79444

Bervell, B., & Umar, I. N. (2018). Blended learning or face-to-face ? Does Tutor anxiety prevent the adoption of Learning Management Systems for distance education in Ghana ? Open Learning: The Journal of Open, Distance and e-Learning, 1–19. https://doi.org/10.1080/02680513.2018.1548964

Bhalalusesa, R., Lukwaro, E. E., & Clemence, M. (2013). Challenges of using E-learning Management Systems faced by the academic staff in distance based institutions from developing countries: A case study of the Open University of Tanzania. Huria: Journal of the Open University of Tanzania, 14(1), 89–110. Retrieved from https://www.ajol.info/index.php/huria/article/view/110783

Burton-Jones, A., & Volkoff, O. (2017). How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Information Systems Research, 28(3), 468–489. https://doi.org/10.1287/isre.2017.0702

DeLone, W. H., & McLean, E. R. (2016). Information Systems Success Measurement. Foundations and Trends in Information Systems, 2(1), 1–116. https://doi.org/10.1561/2900000005

Dube, S., & Scott, E. (2014). An empirical study on the use of the Sakai Learning Management System. In Proceedings of the e-Skills for Knowledge Production and Innovation Conference (pp. 101–107). Cape Town, South Africa. https://doi.org/10.13140/RG.2.1.2589.1048

Ertmer, P. A. (1999). Addressing first- and second-order barriers to change: strategies for technology integration. Educational Technology Research and Development, 47(4), 47–61. https://doi.org/10.1007/BF02299597

Green, S. (1991). How many subjects does it take to do a regression analysis. Multivariate Behavioral Research, 26(3), 499–510. https://doi.org/10.1207/s15327906mbr2603_7

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Exploratory Factor Analysis. In Multivariate Data Analysis (7th Editio, p. 816). New York, USA: Prentice Hall.

Hanson, W. E., Creswell, J. W., Clark, V. L. P., Petska, K. S., & Creswell, J. D. (2005). Mixed methods research designs in counseling psychology. Journal of Counseling Psychology, 52(2), 224–235. https://doi.org/10.1037/0022-0167.52.2.224

Henry, J. W., & Stone, R. W. (1995). Computer self-efficacy and outcome expectancy. ACM SIGCPR Computer Personnel, 16(4), 15–34. https://doi.org/10.1145/219716.219722

Higgins, C. A., & Compeau, D. R. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688

Igbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587–605. https://doi.org/10.1016/0305-0483(95)00035-6

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly: Management Information Systems, 31(4), 705–737. https://doi.org/10.2307/25148817

Lwoga, E. T. (2012). Making learning and Web 2.0 technologies work for higher learning institutions in Africa. Campus-Wide Information Systems, 29(2), 90–107. https://doi.org/10.1108/10650741211212359

Lwoga, E. T. (2014). Critical success factors for adoption of web-based learning management systems in Tanzania. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 10(1), 4–21. Retrieved from https://eric.ed.gov/?id=EJ1071193

Lwoga, E. T., & Komba, M. (2015). Antecedents of continued usage intentions of web-based learning management system in Tanzania. Education + training, 57(7), 738–756. https://doi.org/10.1108/ET-02-2014-0014

Maddux, J. E. (1995). Self-Efficacy Theory. In Maddux J.E. (Ed.), Self-Efficacy, Adaptation, and Adjustment. The Plenum Series in Social/Clinical Psychology (pp. 3–33). Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6868-5_1

Maddux, J. E., & Volkmann, J. (2010). Self-Efficacy. In R. H. Hoyle (Ed.), Handbook of Personality and Self-Regulation. https://doi.org/10.1002/9781444318111.ch14

Marchand, D. A., Kettinger, W. J., & Rollins, J. D. (2000). Information Orientation: People, Technology and the Bottom Line. Sloan Management Review, 41(4), 69–80.

Mayoka, K., & Kyeyune, R. (2012). An analysis of eLearning Information System adoption in Ugandan Universities: Case of Makerere University Business School. Information Technology Research Journal, 2(1), 1–7.

Mcquarrie, E. F., & Krueger, R. A. (2006). Focus Groups: A Practical Guide for Applied Research. Journal of Marketing Research, 26(3), 371–372. https://dx.doi.org/10.2307/3172912

Mitchell, J. I., Gagné, M., Beaudry, A., & Dyer, L. (2012). The role of perceived organizational support, distributive justice and motivation in reactions to new information technology. Computers in Human Behavior, 28(2), 729–738. https://doi.org/10.1016/j.chb.2011.11.021

Mtebe, J. S. (2015). Learning Management System success: Increasing Learning Management System usage in higher education in sub-Saharan Africa. International Journal of Education and Development Using Information and Communication Technology, 11(2), 51–64. Retrieved from

http://ijedict.dec.uwi.edu/viewarticle.php?id=2005

Mtebe, J. S., & Raisamo, R. (2014). Investigating perceived barriers to the use of Open Educational Resources in higher education in Tanzania. International Review of Research in Open and Distance Learning, 15(2), 43–65. https://doi.org/10.19173/irrodl.v15i2.1803

Mtebe, J. S., & Raphael, C. (2018). A Critical Review of eLearning Research Trends in Tanzania. Journal of Learning for Development - JL4D, 5(2), 163–178. Retrieved from http://jl4d.org/index.php/ejl4d/article/view/269

Mwalumbwe, I., & Mtebe, J. S. (2017). Using learning analytics to predict students’ performance in Moodle Learning Management Systems: A case of Mbeya University of Science and Technology. The Electronic Journal of Information Systems in Developing Countries, 79(1), 1–13. https://doi.org/10.1002/j.1681-4835.2017.tb00577.x

Ngeze, L. V. (2016). Learning Management Systems in Higher Learning Institutions in Tanzania: Analysis of Students’ Attitudes and Challenges towards the use of UDOM LMS in Teaching and Learning at the University of Dodoma. International Journal of Computer Applications, 136(11), 9-12. https://doi.org/10.5120/ijca2016908560

Ngeze, L. V. (2017). ICT Integration in Teaching and Learning in Secondary Schools in Tanzania: Readiness and Way Forward. International Journal of Information and Education Technology, 7(6), 424–427. https://doi.org/10.18178/ijiet.2017.7.6.905

Ngugi, C. N. (2011). OER in Africa’s higher education institutions. Distance Education, 32(2), 277–287. https://doi.org/10.1080/01587919.2011.584853

Nunnally, J. (1978). Psychometric theory. New York, NY: McGraw-Hill.

Reshad, A. (2018). Learning Management Systems. The TESOL Encyclopedia of English Language Teaching, 1–5. https://doi.org/10.1002/9781118784235.eelt0419

Ssekakubo, G., Suleman, H., & Marsden, G. (2011). Issues of adoption: Have e-Learning Management Systems fulfilled their potential in developing countries? In Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment (pp. 231–238). Cape Town, South Africa: ACM New York, NY, USA. https://doi.org/0.1145/2072221.2072248

Staples, D. S., Hulland, J. S., & Higgins, C. A. (1999). A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations. Organization Science, 10(6), 758–776. https://doi.org/10.1287/orsc.10.6.758

Tedre, M., Ngumbuke, F., & Kemppainen, J. (2010). Infrastructure, human capacity, and high hopes: A decade of development of e-Learning in a Tanzanian HEI. Redefining the Digital Divide in Higher Education, 7(1), 7–20. Retrieved from https://core.ac.uk/download/pdf/39015490.pdf

Tsai, C. C., Chuang, S. C., Liang, J. C., & Tsai, M. J. (2011). Self-efficacy in internet-based learning environments: A literature review. Educational Technology and Society, 14(4), 222–240.

Unwin, T., Kleessen, B., Hollow, D., Williams, J. B., Oloo, L. M., Alwala, J., … Muianga, X. (2010). Digital learning management systems in Africa: Myths and realities. Open Learning: The Journal of Open, Distance and e- Learning, 25(1), 5–23. https://doi.org/10.1080/02680510903482033

Wang, L., Ertmer, P. A., & Newby, T. J. (2004). Increasing Preservice Teachers’ Self-Efficacy Beliefs for Technology Integration. Journal of Research on Technology in Education, 36(3), 231–250.

https://doi.org/10.1080/15391523.2004.10782414

Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human Computer Studies, 59(4), 431–449. https://doi.org/10.1016/S1071-5819(03)00114-9

Zheng, Y., Wang, J., Doll, W., Deng, X., & Williams, M. (2018). The impact of organisational support, technical support , and self-efficacy on faculty perceived benefits of using learning management system. Behaviour & Information Technology, 0(0), 1–9. https://doi.org/10.1080/0144929X.2018.1436590




DOI: http://dx.doi.org/10.5944/openpraxis.12.3.1103

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