Emerging digital technologies offer a transformative potential to redefine learning tasks and many examples of this potential are now available. The scaling of the innovative pedagogies emerging from the research into widespread and sustainable practice, however, remains problematic. This paper addresses the issue of scaling by using Design Based Research (DBR), also known as Educational Design Research, within teacher professional development to reposition teachers’ thinking about the place of digital tools in their teaching. Using a project seeking to support the use of new digital technologies to develop children’s spatial reasoning as a ‘worked example’, this paper highlights how the bringing together of the knowledge of educational research and knowledge of teaching practice in DBR can provide a catalyst for epistemic change. The paper will argue that DBR positions the knowledge and practice objects of both research and teaching as ‘epistemic’ or ‘not yet known’ objects and, therefore, the legitimate focus of experimentation and reflection.
This paper argues for the use of ‘developmental’ evaluation as a design-based research tool for sustainable curriculum innovation in professional higher education. Professional education is multi-faceted and complex with diverse views from researchers, professional practitioners, employers and the world of politics leaving little consensus about the nature of educational ‘problems’, let alone educational ‘solutions’. Developmental evaluation is an emerging approach to evaluating innovations and/or organisations that are in a continuous state of change; it asks the evaluators to not simply appraise a final design, but to work with designers through processes of rapid reconnaissance, mapping the territory and emergent modelling. This paper provides an account of how the adoption of the dispositions and approaches of developmental evaluation increased the trustworthiness of decision-making in the design of a new post-graduate teacher education degree in Australia. The principles of developmental evaluation as a design thinking approach have application in other complex curriculum settings.
Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students’ perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda exploring AI’s role in shaping achievement emotions and calls for a broader shift in educational research toward leveraging AI for meaningful and transformative learning experiences.