Innovators to laggards – how South African students adopted and perceived technologically enhanced learningFootnote^*

* The authors’ names are included in alphabetical order and are not in any way a reflection of individual contributions.

References

• Abouchedid, K., & Eid, G. M. (2004). E-learning challenges in the Arab world: Revelations from a case study profile. Quality Assurance in Education, 12(1), 15–27. doi: 10.1108/09684880410517405
   Google Scholar
• Anderson, P. H., & Lawton, L. (2009). Business simulations and cognitive learning: Developments, desires, and future directions. Simulation & Gaming, 40(2), 193–216. doi: 10.1177/1046878108321624
   Google Scholar
• Beaudin, B. P., & Quick, D. (1995). Experiential learning: Theoretical underpinnings. Fort Collins: Colorado State University, High Plains Intermountain Center for Agricultural Health and Safety.
   Google Scholar
• BeckemII, J. M., & Watkins, M. (2012). Bringing life to learning: Immersive experiential learning simulations for online and blended courses. Journal of Asynchronous Learning Networks, 16, 61–71.
   Google Scholar
• Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855. doi: 10.1016/j.compedu.2011.10.010
   Web of Science ®Google Scholar
• Bornman, E. (2016). Information society and digital divide in South Africa: Results of longitudinal surveys. Information, Communication & Society, 19(2), 264–278. doi: 10.1080/1369118X.2015.1065285
   Web of Science ®Google Scholar
• Bradley, P. (2006). The history of simulation in medical education and possible future directions. Medical Education, 40(3), 254–262. doi: 10.1111/j.1365-2929.2006.02394.x
   PubMed Web of Science ®Google Scholar
• Buckless, F. A., Krawczyk, K., & Showalter, D. S. (2014). Using virtual worlds to simulate real-world audit procedures. Issues in Accounting Education, 29(3), 389–417. doi: 10.2308/iace-50785
   Google Scholar
• Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473–482. doi: 10.1007/s10796-008-9103-6
   Web of Science ®Google Scholar
• Cheng, J. M., Kao, L. L., & Lin, J. Y.-C. (2004). An investigation of the diffusion of online games in Taiwan: An application of Rogers’ diffusion of innovation theory. Journal of American Academy of Business, 5(1/2), 439–445.
   Google Scholar
• Chickering, A. W., & Gamson, Z. F. (1999). Development and adaptations of the seven principles for good practice in undergraduate education. New Directions for Teaching and Learning, 1999(80), 75–81. doi: 10.1002/tl.8006
   Google Scholar
• Clarke, E. (2009). Learning outcomes from business simulation exercises: Challenges for the implementation of learning technologies. Education + Training, 51(5/6), 448–459. doi:10.1108/00400910910987246.
   Google Scholar
• Coetzee, S. A., Schmulian, A., & Kotze, L. (2014). Communication apprehension of South African accounting students: The effect of culture and language. Issues in Accounting Education, 29(4), 505–525. doi: 10.2308/iace-50850
   Google Scholar
• Dorsey, J. (2016). iGen Tech Disruption: 2016 National Study on Technology and the Generation After Millennials. Retrieved from http://genhq.com/
   Google Scholar
• Dutta, S., & Omolayole, O. (2016). Are there differences between men and women in information technology innovation adoption behaviors: A theoretical study. The Journal of Business Diversity, 16(1), 106.
   Google Scholar
• Elam, C., Stratton, T., & Gibson, D. D. (2007). Welcoming a new generation to college: The millennial students. Journal of College Admission, 195, 20–25.
   Google Scholar
• Gentry, J. W. (1990). What is experiential learning. Guide to Business Gaming and Experiential Learning, 9, 9–20.
   Google Scholar
• Gillwald, A., Milek, A., & Stork, C. (2010). Gender assessment of ICT access and usage in Africa. Towards Evidence-Based ICT Policy and Regulation, 1(5), 1–39.
   Google Scholar
• Habib, A. (2016). Reimagining the South African university and critically analysing the struggle for its realisation. Retrieved from https://www.wits.ac.za/news/latest-news/in-their-own-words/2016/2016-01/reimagining-the-south-african-university-and-critically-analysing-the-struggle-for-its-realisation.html#sthash.5xGexx7M.dpuf
   Google Scholar
• Hammond, T., Clayton, B. M., & Arnold, P. J. (2009). South Africa’s transition from apartheid: The role of professional closure in the experiences of black chartered accountants. Accounting, Organizations and Society, 34(6), 705–721. doi: 10.1016/j.aos.2008.09.002
   Web of Science ®Google Scholar
• Henderson, A. J. (2003). The e-learning question and answer book: A survival guide for trainers and business managers: AMACOM Div American Mgmt Assn.
   Google Scholar
• Hope, J. (2016). Get your campus ready for generation Z. Dean and Provost, 17(8), 1–7.
   Google Scholar
• Jackson, L. A., Zhao, Y., Kolenic IIIA., Fitzgerald, H. E., Harold, R., & Von Eye, A. (2008). Race, gender, and information technology use: The new digital divide. CyberPsychology & Behavior, 11(4), 437–442. doi: 10.1089/cpb.2007.0157
   PubMedGoogle Scholar
• Janse van Rensburg, C. J., Coetzee, S. A., & Schmulian, A. (2014). South African financial reporting students’ reading comprehension of the IASB conceptual framework. Journal of Accounting Education, 32(4), 1–15. doi: 10.1016/j.jaccedu.2014.10.003
   Google Scholar
• Kassens-Noor, E. (2012). Twitter as a teaching practice to enhance active and informal learning in higher education: The case of sustainable tweets. Active Learning in Higher Education, 13(1), 9–21. doi: 10.1177/1469787411429190
   Web of Science ®Google Scholar
• Kirstein, M., & Kunz, R. (2015). Student-centred approach to teaching large classes: Friend or foe? Meditari Accountancy Research, 23(2), 222–246. doi:10.1108/MEDAR-06-2013-0025.
   Web of Science ®Google Scholar
• Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. New Jersey: Prentice-Hall.
   Google Scholar
• Lee, L.-T., & Hung, J. C. (2015). Effects of blended e-learning: A case study in higher education tax learning setting. Human-centric Computing and Information Sciences, 5(1), 1–15. doi: 10.1186/s13673-014-0018-6
   Google Scholar
• Lesame, N. (2013). Vision and practice: The South African information society experience. Journal of Multidisciplinary Research, 5(1), 73–90.
   Google Scholar
• Less, K. H. (2003). Faculty Adoption of Computer Technology for Instruction in the North Carolina Community College System.
   Google Scholar
• Little, C. (2015). The flipped classroom in further education: Literature review and case study. Research in Post-Compulsory Education, 20(3), 265–279. doi: 10.1080/13596748.2015.1063260
   Web of Science ®Google Scholar
• Maitland, C. (1999). Global diffusion of interactive networks: The impact of culture. AI & SOCIETY, 13(4), 341–356. doi: 10.1007/BF01205982
   Google Scholar
• Penjor, S., & Zander, P.O. (2016). Predicting virtual learning environment adoption: A case study. The Turkish Online Journal of Educational Technology, 15(1), 69–81.
   Google Scholar
• Quintana-Murci, L., Harmant, C., Quach, H., Balanovsky, O., Zaporozhchenko, V., Bormans, C., … Behar, D. M. (2010). Strong maternal Khoisan contribution to the South African coloured population: A case of gender-biased admixture. The American Journal of Human Genetics, 86(4), 611–620. doi: 10.1016/j.ajhg.2010.02.014
   PubMed Web of Science ®Google Scholar
• Robinson, L. (2009). A summary of diffusion of innovations. Enabling change. Retrieved from Changeology – Engabling you to change the world website: http://www.enablingchange.com.au/index.php
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: The Free Press.
   Google Scholar
• Rudman, R., & Terblanche, J. (2011). Practical role-play as an extension to theoretical audit education: A conceptualising aid. Southern African Journal of Accountability and Auditing Research, 11, 63–74.
   Google Scholar
• Sahin, I. (2006). Detailed review of Rogers’ diffusion of innovations theory and educational technology-related studies based on Rogers’ theory. The Turkish Online Journal of Educational Technology, 5(2), 14–23.
   Google Scholar
• SAICA, South African Institute of Chartered Accountants. (2014). Competency framework detailed guidance for the academic programme. Johannesburg: Kengray.
   Google Scholar
• SAICA, South African Institute of Chartered Accountants. (2017). List of Universities and Professional Accredited Programmes – 2017. Retrieved from https://www.saica.co.za/Portals/0/LearnersStudents/documents/List of accredited programmes.pdf
   Google Scholar
• Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396–413. doi: 10.1016/j.compedu.2005.09.004
   Web of Science ®Google Scholar
• Siegel, P. H., Omer, K., & Agrawal, S. P. (1997). Video simulation of an audit: An experiment in experiential learning theory. Accounting Education, 6(3), 217–230. doi: 10.1080/096392897331451
   Google Scholar
• Slabbert, J. A., De Kock, D. M., & Hattingh, A. (2009). The brave ‘new’ world of education: Creating a unique professionalism. Johannesburg, South Africa: Juta and Company Ltd.
   Google Scholar
• Steenkamp, L., & Rudman, R. (2007). South African students’ perceptions of the usefulness of an audit simulation. Meditari Accountancy Research, 15(2), 23–41. doi: 10.1108/10222529200700009
   Google Scholar
• Tao, Y.-H., Cheng, C.-J., & Sun, S.-Y. (2009). What influences college students to continue using business simulation games? The Taiwan experience. Computers & Education, 53(3), 929–939. doi:10.1016/j.compedu.2009.05.009
   Web of Science ®Google Scholar
• Thota, N. (2015). Connectivism and the use of technology/Media in collaborative teaching and learning. New Directions for Teaching and Learning, 2015(142), 81–96. doi: 10.1002/tl.20131
   Google Scholar
• Tshabalala, M., Ndeya-Ndereya, C., & van der Merwe, T. (2014). Implementing blended learning at a developing university: Obstacles in the Way. Electronic Journal of e-Learning, 12(1), 101–110.
   Google Scholar
• University of Pretoria. (2017). History of the University of Pretoria. Retrieved from http://www.up.ac.za/about-up/article/258117/up-history
   Google Scholar
• Van Deursen, A., & Van Dijk, J. (2011). Internet skills and the digital divide. New media & Society, 13(6), 893–911. doi: 10.1177/1461444810386774
   Web of Science ®Google Scholar
• Van Deursen, A. J., & Van Dijk, J. A. (2014). The digital divide shifts to differences in usage. New media & Society, 16(3), 507–526. doi: 10.1177/1461444813487959
   Web of Science ®Google Scholar
• Van Dijk, J., & Hacker, K. (2003). The digital divide as a complex and dynamic phenomenon. The Information Society, 19(4), 315–326. doi: 10.1080/01972240309487
   Web of Science ®Google Scholar
• Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115–139. doi: 10.2307/3250981
   Web of Science ®Google Scholar
• Weller, J. M. (2004). Simulation in undergraduate medical education: Bridging the gap between theory and practice. Medical Education, 38(1), 32–38. doi: 10.1111/j.1365-2923.2004.01739.x
   PubMed Web of Science ®Google Scholar
• Wonglimpiyarat, J., & Yuberk, N. (2005). In support of innovation management and Roger’s innovation diffusion theory. Government Information Quarterly, 22(3), 411–422. doi: 10.1016/j.giq.2005.05.005
   Web of Science ®Google Scholar
• Yuksel, I. (2015). Rogers’ diffusion of innovation model in action: Individual innovativeness profiles of pre-service teachers in Turkey. Hrvatski časopis za odgoj i obrazovanje, 17(2), 507–534.
   Web of Science ®Google Scholar