Dr Yi-Shan Tsai

Research Associate (SHEILA)

Yi-Shan Tsai is based in the School of Informatics and was the Research Associate for the SHEILA research project. She holds a PhD and an MPhil degree in Education from the University of Cambridge. She currently works on two large multinational research projects on learning analytics and blended learning in collaboration with 11 different institutional partners in Europe and Latin America. Prior to this, she took the lead on a large learning analytics project involving 6 European institutional partners and investigated social and cultural factors that influence institutional adoption of learning analytics. Yi-Shan is currently an executive member of the Society for Learning Analytics Research (SoLAR).

Yi-Shan's research interests span from learning analytics and digital storytelling to reading cultures and multimodal texts. Prior to working in the higher education context, she worked extensively with children at ages between 9 and 15. This includes three years of teaching at a primary school and three years investigating into readers' engagement with comics books in literary, social, and cultural dimensions. In addition, she has worked as a freelance writer composing various written works, including articles to inform institutional and government policies, and a biography.  

Personal website: http://yi-shan-tsai.com/

Email:  yi-shan.tsai@ed.ac.uk. Call on: 0131 651 6243

Or write/visit here:  Room 3.51, School of Informatics, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB

Seminar recording 'What can learning analytics do for us?'

Related news

SHEILA project wins 2019 ALT Learning Technologist of the Year Award

5 Sep 2019
SHEILA project image

The ALT (Association for Learning Technology) Learning Technologist of the Year Award, established in 2007, celebrates excellent research and practice in Learning Technology.  It is a national (UK) and competitive award and therefore the SHEILA project team, which includes Research Associate Dr Yi-Shan Tsai, are extremely proud to be recognised with this award.

About the SHEILA project

Centre Report 2019

30 Apr 2019
Digital Education 2019 report

We are delighted to share our 2019 annual report (pdf link) setting out the extent of our activity this year.  With a particular focus on the impact of our work, this report includes a new visualisation of our work bringing together the many activities of the Centre for Research in Digital Education.

Thanks to all the many colleagues, students, schools, partners, co-researchers and friends who make our work possible!


19 Nov 2018

SHEILA project MOOC 

The 3-week MOOC based on the findings and research outputs of the EU-funded SHEILA (Supporting Higher Education to Integrate Learning Analytics) project will begin on Tuesday 20th November 2018.  The course will address areas of concern associated with the use of learning analytics such as responsibility, privacy, consent, accountability, adaptibility, interoperability, and personalisation.  It will also discuss the benefits (optimising learning strategies, personalising feedback) of integrating learning analytics in higher education.

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?

Vox pops on robots

31 Jul 2018
Voxpops image

Children's thoughts on teaching automation

Will robots take over teaching at schools?  What aspects of teaching will they be good or bad at?  This video is based on a series of vox pops that invited children to tell us about their thoughts on robots in general, what it would be like to have a robot teacher, and what might a robot be like in twenty years from now.

'I think they're quite intelligent' 


'Might be a bit better at teaching becuase they know more answers to things'