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Disciplinary variations in the diffusion of heutagogical use of mobile technologies among student-teachers

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Abstract

Whilst teacher education in Malawi seems to be afflicted by numerous challenges emanating from financial inadequacy and human resource constraints, widespread ownership of mobile technologies among student-teachers and versatility of the devices offer prospects for an improved academic environment. This study examines disciplinary variations in the diffusion of heutagogical use of mobile technologies among student-teachers at Domasi College of Education in Malawi. It is a case study involving 394 student-teachers whose design included a situational analysis, intervention and follow-up phase. Data was collected across the phases using semi-structured interviews, two questionnaire surveys, focus group discussions and participant journaling. Notwithstanding discipline, the findings reveal ubiquitous access to mobile technologies among the student-teachers as well as positive attitude towards academic usage of devices. Subject-based disparities, however, became apparent during the situational analysis in relation to actual usage although they were levelled during the intervention. Additionally, the occurrence of heutagogical practices increased significantly over the intervention period.

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The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

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References

  • Ahmad, T. (2020). Student perceptions on using cell phones as learning tools: Implications for mobile technology usage in Caribbean higher education institutions. PSU Research Review, 4(1), 25–43. https://doi.org/10.1108/PRR-03-2018-0007.

    Article  Google Scholar 

  • Aldahdouh, T. Z., Nokelainen, P., & Korhonen, V. (2020). Technology and social media usage in higher education: The influence of individual innovativeness. SAGE Open, January-March, 2020, 1–20. https://doi.org/10.1177/2158244019899441.

    Article  Google Scholar 

  • Almaiah, M.A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25, 5261–5280. Accessed on March 10, 2021 from https://doi.org/10.1007/s10639-020-10219.

  • Andrews, T., & Schwarz, G. (2002). Preparing students for the virtual organisation: An evaluation of learning with virtual learning technologies. Educational Technology and Society, 5(3), 54–65.

    Google Scholar 

  • Ayaz, A., & Yanartaş, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2(2020), 100032. https://doi.org/10.1016/j.chbr.2020.100032.

    Article  Google Scholar 

  • Biglan, A. (1973). The characteristics of subject matter in different academic areas. Journal of Applied Psychology, 58, 195–203.

    Article  Google Scholar 

  • Blaschke, L. M. (2014). Moving forward in the PAH continuum: Maximizing the power of the social web. In L. M. Blaschke, C. Kenyon, & S. Hase (Eds.), Experiences in self-determined learning. (pp. 49–62). Amazon.com.

    Google Scholar 

  • Booth, M., Blaschke, L., & Hase, S. (2016). Practicing the practice: The heutagogy community of practice. In J. McDonald, & A. Cater-Steel (Eds.), Communities of practice: Facilitating social learning in higher education. Heidelberg: Springer Verlag.

  • Brown, J. S., & Duguid, P. (2002). The social life of information. . Harvard Business School Press.

    Google Scholar 

  • Campion, M. A., Medsker, G. J., & Higgs, A. C. (1993). Relations between work group characteristics and effectiveness: Implications for designing effective work groups. Personnel Psychology, 46, 823–850.

    Article  Google Scholar 

  • Cartwright, S. (2002). Double-loop learning: A concept and process for leadership educators. Journal of Leadership Education, 1(1), 68–71.

    Article  Google Scholar 

  • Chen, J., Li, R., Gan, M., Fu, Z., & Yuan, F. (2020). Public acceptance of driverless buses in China: An empirical analysis based on an extended UTAUT model. Discrete Dynamics in Nature and Society, 4318182. https://doi.org/10.1155/2020/4318182

  • Chen, P.-Y., & Hwang, G.-J. (2019). An empirical examination of the effect of self-regulation and the Unified Theory of Acceptance and Use of Technology (UTAUT) factors on the online learning behavioural intention of college students. Asia Pacific Journal of Education, 1–17.

  • Cochrane, T., Mulrennan, D., Sissons, H., Pamatatau, R., & Barnes, L. (2013). Mobilizing journalism education. ICICTE 2013 Proceedings, 283–293.

  • Conole, G., de Laat, M., Dillon, T., & Darby, J. (2008). ‘Disruptive technologies’, ‘pedagogical innovation’: What’s new? Findings from an in-depth study of students’ use and perception of technology. Computers & Education, 50(2), 511–524.

    Article  Google Scholar 

  • Czerniewicz, L., & Brown, C. (2007). Disciplinary differences in the use of educational technology. In D. Remenyi (Ed.), ICEL 2007: 2nd International Conference on eLearning, New York. 28–29 June (pp. 117–130).

  • Dearing, J. W., & Cox, J. G. (2018). Diffusion of innovations theory, principles, and practice. Health Aff (Millwood), 37(2), 183–190. https://doi.org/10.1377/hlthaff.2017.1104.

    Article  Google Scholar 

  • Dearing, J. W., & Singhal, A. (2020). New directions for diffusion of innovations research: Dissemination, implementation, and positive deviance. Hum Behav & Emerg Tech., 2, 307–313. https://doi.org/10.1002/hbe2.216.

    Article  Google Scholar 

  • Dresselhaus, A. L., & Shrode, F. (2012). Mobile technologies & academics: Do students use mobile technologies in Their academic lives and are librarians ready to meet this challenge?. Mansfield Library Faculty Publications. Paper 15. Accessed on November 24, 2020 from http://scholarworks.umt.edu/ml_pubs/15.

  • Eze, S.C., Chinedu-Eze, V.C.A., Okike, C.K. & Bello, A.O. (2020). Factors influencing the use of e-learning facilities by students in a private Higher Education Institution (HEI) in a developing economy. Humanities and Social Sciences Communications, 7, 133. Accessed on March 10, 2021. https://doi.org/10.1057/s41599-020-00624-6.

  • Fry, J. (2006). Scholarly research and information practices: A domain analytical approach. Information Processing and Management, 42(1), 299–316.

    Article  Google Scholar 

  • Gannon-Leary, P., & Fontainha, E. (2007). Communities of practice and virtual learning communities: Benefits, barriers and success factors. Elearning Papers, 5, 20–29. ISSN 1887–1542.

  • Gibson, C. B., & Manuel, J. A. (2003). Building trust: Effective multicultural communication processes in virtual teams. In C. B. Gibson & S. G. Cohen (Eds.), Virtual Teams that Work. (pp. 59–86). Wiley.

    Google Scholar 

  • Hase, S. (2009). Heutagogy and e-learning in the workplace: Some challenges and opportunities. Impact: Journal of Applied Research in Workplace E-learning, 1(1), 43–52.

    Google Scholar 

  • Hase, S. (2014). Skills for the learner and learning leader in the 21st century. In L. M. Blaschke, C. Kenyon, & S. Hase (Eds.), Experiences in self-determined learning. Amazon.

  • Johnson, D. W., & Johnson, R. T. (1999). Learning together and alone: Cooperative, competitive, and individualistic learning. (5th ed.). Prentice-Hall Publishing.

    Google Scholar 

  • Karaseva, A., Siibak, A., & Pruulmann-Vengerfeldt, P. (2015). Relationships between teachers’ pedagogical beliefs, subject cultures, and mediation practices of students’ use of digital technology. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 9(1), 6.

    Article  Google Scholar 

  • Kincaid, D. L. (2004). From innovation to social norm: Bounded normative influence. Journal of Health Communication, 9, 37–57.

    Article  Google Scholar 

  • Kirschner, P. A., & Lai, K. (2007). Online communities of practice in education. Technology, Pedagogy and Education, 16(2), 127–131.

    Article  Google Scholar 

  • Laal, M. (2013). Positive interdependence in collaborative learning. Procedia - Social and Behavioral Sciences, 93, 1433–1437.

    Article  Google Scholar 

  • Lam, P., McNaught, C., Lee, J., & Chan, M. (2014). Disciplinary difference in students’ use of technology, experience in using eLearning strategies and perceptions towards eLearning. Computers & Education, 73, 111–120.

    Article  Google Scholar 

  • MACRA (2015).Statistics from MACRA. Blantyre: MACRA Communication Department.

  • Magsamen-Conrad, K., & Dillon, J. M. (2020). Mobile technology adoption across the lifespan: A mixed methods investigation to clarify adoption stages, and the influence of diffusion attributes. Computers in Human Behavior, 112, 106456. https://doi.org/10.1016/j.chb.2020.106456.

    Article  Google Scholar 

  • Margaryan, A., & Littlejohn, A. (2008). Are digital natives a myth or reality? Students’ use of technologies for learning. http://www.academy.gcal.ac.uk/anoush/documents/DigitalNativesMythOrRealityMargaryanAndLittlejohn-draft-111208.pdf. Accessed June 12, 2017.

  • Meijrink, J. A., Meijer, P. C., Verloop, N., & Bergen, T. C. M. (2009). Understanding teacher learning in secondary education: The relations of teacher activities to changed beliefs about teaching and learning. Teaching and Teacher Education, 25, 89–100.

    Article  Google Scholar 

  • Meirink, J. A., Imants, J., Meijer, P. C. & Verloop, N. (2010). Teacher learning and collaboration in innovative teams. Cambridge Journal of Education, 40(2), 161–181.

  • Moule, P. (2006). Developing the communities of practice, framework for on- line learning electronic. Journal of E-learning, 4(2), 133–140.

    Google Scholar 

  • Nadlifatin, R. (2019). Understanding the generation Z behavior on D-learning: A unified theory of acceptance and use of technology (UTAUT) approach. International Journal of Engineering & Technology, 14(5), 20–33.

    Google Scholar 

  • Neumann, R. (2001). Disciplinary differences and university teaching. Studies in Higher Education, 26(2), 135–147.

    Article  Google Scholar 

  • Nkhokwe, M., Ungapembe, F., & Furukawa, N. (2017). Identification of groups of secondary school teachers who leave the teaching profession in Malawi. Field Report 3. JICA Research Institute.

  • Pinto, M., & Leite, C. (2020). Digital technologies in support of students learning in Higher Education: Literature review. Digital Education Review, 37, 343–360. http://greav.ub.edu/der/. Accessed 10 March 2021.

  • Rahmaningtyas, W., Mulyono, K., Widhiastuti, R., Fadillah, N., & Faslah, R. (2020). Application of UTAUT (Unified Theory of Acceptance and Use of Technology) to understand the acceptance and use of the e-learning system. International Journal of Advanced Science and Technology, 29, 5051–5060.

    Google Scholar 

  • Rogers, E. (1995). Diffusion of innovations. (4th ed.). The Free Press.

    Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations. (5th ed.). Free Press.

    Google Scholar 

  • Runhaar, P., ten Brinke, D., Kuijpers, M., Wesselink, R., & Mulder, M. (2014). Exploring the links between interdependence, team learning and a shared understanding among team members: The case of teachers facing an educational innovation. Human Resource Development International, 17(1), 67–87. https://doi.org/10.1080/13678868.2013.856207.

    Article  Google Scholar 

  • Schuster, J., & Kolleck, N. (2020). The global diffusion of social innovations – an analysis of twitter communication networks related to inclusive education. Frontiers in Education, 5, 492010. https://doi.org/10.3389/feduc.2020.492010.

    Article  Google Scholar 

  • Stuckey, B., & Smith, J. D. (2004). Building sustainable communities of practice. In P. Hildreth & C. Kimble (Eds.), Knowledge Networks: Innovation through Communities of Practice. (pp. 150–164). Idea Group.

    Chapter  Google Scholar 

  • Tamilmani, K., Rana, N.P., & Dwivedi, Y.K. (2020). Consumer acceptance and use of information technology: A meta-analytic evaluation of UTAUT2. Inf Syst Front. Accessed March 9, 2021 from https://doi.org/10.1007/s10796-020-10007-6.

  • Trayner, B., Smith, J. D., & Bettoni, M. (2006). Participation in international virtual learning communities A social learning perspective CPsquare! ...the community of practice on communities of practice. Accessed December 14, 2020 from http://www.cpsquare.org/News/archives/Webist_Setubal_Final.pdf.

  • Vejlgaard, H. (2018). Process Knowledge in the Innovation-Decision Period: Digital Communication Management. Beatriz Peña-Acuña, IntechOpen. https://doi.org/10.5772/intechopen.73307. Accessed March 8, 2021 from https://www.intechopen.com/books/digital-communication-management/process-knowledge-in-the-innovation-decision-period.

  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Article  Google Scholar 

  • Wan, L., Xie, S., & Shu, A. (2020). Toward an understanding of university students’ continued intention to use MOOCs: When UTAUT model meets TTF model. SAGE Open, 10, 3, 1–15. Accessed March 8, 2021 from https://doi.org/10.1177/2158244020941858.

  • Williams, P. G., Nguyen, N., & Mangan, J. (2017). Using technology to support science inquiry learning. Journal of Technology and Science Education, 7(1), 26–57. https://doi.org/10.3926/jotse.234.

    Article  Google Scholar 

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The funds for conducting this study were provided by my employer, the University of Malawi, but did not undertake any role in the processes of the research.

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Correspondence to Andrew Chimpololo.

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Chimpololo, A. Disciplinary variations in the diffusion of heutagogical use of mobile technologies among student-teachers. Educ Inf Technol 26, 4821–4837 (2021). https://doi.org/10.1007/s10639-021-10505-3

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