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Learning Analytics Seminar Series

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Upcoming Speakers

Andrew Gibson

University of Technology Sydney

March 9, 2017 | 12:00 PM EST | Teachers College | RM: HM 138

Writing Analytics at the Connected Intelligence Centre

Abstract

Writing analytics in a learning context can be thought of as simultaneously working across two domains: the psychosocial domain that encompasses aspects like personal disposition, cognition and the pedagogical context; and computational domain which includes machine representation, analysis and feedback of analytics to the user. How do we work effectively across these two domains for the benefit of learning and teaching? This is a core question underpinning the research we undertake at the Connected Intelligence Centre (CIC), University of Technology Sydney (UTS).

In this first half of this session, I will present some of the ways that we approach the complexities of writing analytics at CIC. I will highlight some key characteristics of the psychosocial and computational domains and outline some of the challenges in bringing them together. To illustrate these ideas, I will draw on examples from our recent work in analysing reflective writing for the purpose of providing actionable feedback to students.

In the second half of the session there will be the opportunity to discuss as a group how a socio-technical style of research is currently, or might in the future, assist with the work of those present. By sharing ideas, and raising questions it is hoped that we can harness the collective intelligence of the session, sparking ideas that are helpful for your own work.

Author Biography

Andrew Gibson is a Research Fellow in Writing Analytics at the Connected Intelligence Centre, University of Technology Sydney (UTS). His primary research focus is on reflective writing analytics for psychosocial meaning. He also investigates: abductive reasoning in human computer interaction; the relationship between representation and meaning and implications for system design; and transdisciplinary approaches to human centred data analytics. Originally a secondary school music teacher, he now works across both educational and computational domains, combining an understanding of pedagogy with software development experience to design and develop software that supports teaching and learning with text. At UTS he has architected and developed a writing analytics infrastructure to serve the needs multiple writing analytics projects.

Andrew Gibson can be found on the web at http://andrewresearch.net