Faculty of Education - Research Publications
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Item‘Mixed-tape Methods’ for Data in Post-digital Times of Disease(Technology Knowledge & Society Research Network, 2021-04-08)In 2020, our teaching and research moved almost exclusively online. Zoom was a must have tool for communication. The shift online has impacted our academic, research, and teaching practices. But can the data traces generated by this shift be leveraged to understand and enhance how we work in and for education? We propose that, as knowledge makers, relational feedback loops and ‘mixed-tape methods’ can create new ways for do-ing, be-ing and know-ing from one data site to another. Doing research during a time of disruption using an iterative approach allows us to adapt the methods as our work and life circumstances changed in response to the pandemic, throughout the uncertainties of life in lockdown we collaboratively co-designed our work. The work of co-designing feedback loops in partnership highlight how the digital enables experience and engagement that generates new experiences and engagements, enabling us to establish new ways of exploring new possibilities with/in. The uncertain unknowns of a covid-normal arts sector means that co-designed arts education gives some solid ground for teachers and learners to create and navigate their future paths. We will present and perform the effects of these experiences and engagements on artists and the arts community in a pandemic and explore the affects of these experiences and engagements for education. We acknowledge that we live and work on the lands of the Wurundjeri people that hold stories across time and space. #Datacreativities is a co-lab of interdisciplinary digital research cross faculty partnership, we examine #datacreative using feedback loops.
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ItemCO-llaborative VI-rtual D-esign: A Collaborative Autoethnography on Conducting Exclusively Online, Data-Led Collaborations in the Creative Industries(SAGE PUBLICATIONS INC, 2022-03)This collaborative autoethnographic story of #DataCreativities articulates data traces found within the rapid move online in education and creative sectors in Melbourne, Australia. As a result of the lockdowns imposed to combat the initial spread of COVID-19, this collaboratory began within the anxieties of 2020. #DataCreativities takes a data-related approach to understanding the fast-paced shift to making, learning, teaching, and living in a crisis through research and art. Twelve months on, we figure (out) our own data and practice. We ask: What does CO-llaborative VI-rtual D-esign look like, how can it be established, and how can it be sustained?
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Item#DataCreativities: Developing a trans-disciplinary data visualization framework from Arts practice to teaching and learning during COVID19(Centre for Learning and Teaching, AUT University, 2021)Transdisciplinarity and collaboration are key capabilities that need to be fostered by authentic higher education learning environments to prepare our graduates for an unknown future (Barnett, 2012). These capabilities need to be modelled through the practice of academics, and even more so during a global pandemic such as COVID19 in response to the changing ways in which professions, and in particular the arts that have traditionally relied upon face-to-face interaction, have rapidly pivoted to online modes of interaction. In response, this project is conceived as a transdisciplinary collaboration between the University of Melbourne Faculty of Fine Arts and Music (FFAM), the Graduate School of Education (MGSE), the Centre for the Study of Higher Education (MCSHE), the Social & Cultural Imformatics Plaform (SCIP) and the Melbourne Data Analytics Platform (MDAP). The #DataCreativities collaboration seeks to learn from the data created by the creative industry communities as they rapidly moved to new forms of online interaction in order to survive in a socially distanced environment (for example (Braus & Morton, 2020)). We use this to develop a new framework for data generation and visualization in the context of higher education as a form of feedback loop that can inform innovative pedagogical practice and research (Ferdig et al., 2020). The project data collection and analysis began by creating visualisations of the teaching and learning activities embodied in the universities learning management system (Canvas) to discover patterns of usage and interaction as the creative arts disciplines switched from studio-based on campus to remote online teaching and learning modes. The analysis of the data visualisations from creative and education domains formed a continuous loop of acting and reacting (Glaveanu et al., 2013) as they rapidly developed new modes of interaction in response to COVID19. In learning from these data as visual patterns, the project is focused upon identifying new modes of teaching and learning that are sustainable beyond an emergency response to COVID19. The data visualization project involves the identification of an Ecology of Resources or EoR (Luckin, 2008) that encompasses social media via a hashtag #Datacreativities (Twitter, TikTok, YouTube) open software publishing (Omeka, Figshare) and Altmetrics (Priem et al., 2010) - creating a feedback loop between the model of a COVID19 rapid pivot from face-to-face Arts community to building an online community, and traditional higher education teaching and learning and research practices and metrics (Williams & Padula, 2015). Early stages visualisations helped turn data into information. Collaborative bringing together of our experience and expertise helped turn information into knowledge. Making visualisations of data formed practice-based research (Candy, 2016) transforming abstract data into observable, malleable digital artefacts (Kallinikos,Aaltonen& Marton, 2010).The presentation will showcase some of the data visualisations produced by the #Datacreativities team and the mapping between the professional arts community and arts education practice on response to COVID19. The presentation will also outline the emergent data visualisation framework and how the ecology of resources facilitates a feedback loop back into informing teaching and learning and research.