Modelling the complexity of technology adoption in higher education teaching practice
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This study examines the adoption of digital technologies in higher education teaching practice, commonly known as elearning, and investigates what needs to change in universities to support the wider adoption of faculty-originated elearning innovations. These are innovations originated by education technology enthusiasts and visionaries in universities who apply new ways of using digital technologies in their own teaching practice. Yet, even when these elearning innovations are evaluated as beneficial in teaching and learning, very few gain wider adoption within the mainstream of university teaching. How to achieve mainstream adoption of these innovations is widely acknowledged as a complex problem. Firstly it involves four university system stakeholders, (1) individual innovators and (2) adopters in higher education teaching roles and the institutional roles of (3) management and (4) central support services, who are the actors in this process. Secondly, a wide range of causal factors have been identified in case studies and surveys that enable and inhibit the sustainable diffusion of elearning innovations. Understanding the complex dynamic relationships between these university system actors and these causal factors is the focus for this doctoral study. To investigate this dynamic complexity, this study uses a computer simulation to model the critical relationships between university actors, associated causal factors and levels of influence in the technology adoption process. In the computer modelling process, the first-hand experiences of different university actors are applied in interviews to connect and explore enabling and inhibiting factors and levels of influence across the four stakeholder groups. The resulting computer model provides a view of a whole university system that reveals the critical relationships between these stakeholders. The modelling process, demonstrated in this presentation, extends the findings from previous case studies and surveys to reveal and rethink the critical relationships between university system stakeholders in a complex and changing environment.
This work is licensed under a Creative Commons Attribution 4.0 International License. Files include Conference Paper (PDF); Conference presentation/recording (MP4); and Demonstration video of the modelling method (MP4). The author would like to acknowledge the contribution of Prof Heather Smigiel (Flinders Uni) and Prof Jim Levin (UCSD Dept of Education Studies). Recommended citation: White, I. M. (2017). Modelling the complexity of technology adoption in higher education teaching practice. Paper presented to The Higher Education Technology Agenda (THETA) 2017 biennial conference. Auckland, 7-10 May.