Who needs a Feedback Bot? Impacts of automation on feedback pedagogy and learning experience

The proposed study aims to provide suggestions to improve (semi-)automated systems for feedback generation and propose a feedback model that equips learners and teachers with the ‘digital feedback literacy’ required to face an increasingly technology-mediated learning environment.  Specifically, this project will ask,What constitutes ‘good’ or ‘bad’ feedback?  Are there discrepancies between perceptions and realisation of ‘good’ feedback?  What are the impacts of automation on feedback pedagogy and learning experience?  

This study will adopt mixed methods to investigate the three research questions. The results will be used to inform a model to develop digital feedback literacy in teachers and students.  

We expect that the findings will contribute to our understanding of the impacts of (semi-)automated feedback on pedagogy and learning experience. 

Research areas
Data Society
Research team

Dr Yi-Shan Tsai, Centre for Research in Digital Education

Dr Rafael Ferreira, Universidade Federal Rural de Pernambuco

Key contact
Dr Yi-Shan Tsai

Brazilian State Funding Agencies articulated by its National Council CONFAP

National Council for Scientific and Technological Development (CNPq)

THE UK ACADEMIES 2018 Fellowships

Research Mobility

Young Investigator Awards for UK researchers in Brazil

Award £2,222


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Focus on: Yi-Shan Tsai

24 Aug 2018
Profile image of Yi-Shan

Yi-Shan Tsai, Research Associate

How long have you worked with the Centre?

I joined the team in 2016 to work on a cross-European project – SHEILA (Supporting Higher Education to Integrate Learning Analytics). Since 2018, I have started to work on two new projects: LALA (Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America)and EMBED (Developing a European Maturity Model for Blended Education).

How do you see digital education and why do you think it's important?