Project Mobius

Partner: Sublime Digital

Principal Investigator: Professor Fiona Macpherson

Co-Investigator: Dr Neil McDonnell

Funding: Innovate UK funded project (Cost: £911,713, Grant: £716,743)

Duration: 1st October 2018 - 30th September 2021

For any given learning task, we can ask: how do students learn? How could they learn better? The emerging technologies of Virtual Reality (VR) and Augmented Reality (AR) can enable new and an unparalleled depth and richness of data about how learners behave, and how they learn, across an extraordinary range of subjects. As these technologies take hold, they offer opportunities to advance the state-of-the-art in creating new learning experiences, the resulting data from which can be used to develop new approaches to teaching to the benefit of the learning experience of students quite generally. Our project aims to put the UK at the centre of this new tech revolution, by developing the platform - Mobius - and tools that enable educators at Higher Education Institutions across the globe to harness the power of this learning data, and drive innovation in higher education. The project team combines VR and AR content/platform specialists, Sublime Digital, and a world leading higher education institution, The University of Glasgow. Given their respective expertise and experience, this partnership is uniquely placed to set the standard in the education sector, and control the Mobius platform. With the help of innovation centre The Data Lab, that platform could transform learning globally.


Project Mobius will begin with the creation of ten VR applications, each of which will enable a teaching intervention that is simply not possible without immersive technology. These apps span all four colleges of the University of Glasgow, and the ideas behind them were selected from dozens of entries into a VR Teaching Competition held at the University in 2017. Geology, Data Science, Anatomy, Immunology, Philosophy, History,  Physics, Chemistry and Physiology are all represented in this initial tranche of apps - see acknowldegements below for a list of contributing staff.


The next stage of Project Mobius will be to develop the underlying platform that can support such a diverse range of applications, and is fit for implementation in higher education. The platform will allow for the development and integration of further apps in the future, and will crucially support the capture of anonymised learner data.


Project Mobius will deliver an unprecedented level of data about how learners learn. It will do this by teaching appropriate topics in VR, and passively collecting data about how users behave and learn whilst they participate. Crucially, this is anonymised data - we want to know about learning in general, but we are determined to protect individual student's privacy as we do. We believe that the detail, and consistency, of the data produced by Project Mobius could help us transform education quite generally - be it through immersive, or traditional, means.

Get Involved?

Project Mobius will require testing and integration in Higher Education Institutions. In the initial three-year project, we aim to partner with key test-bed institutions who can adopt the Mobius platform, and help us transform education. For more information see Sublime's page. Please  contact if your institution is interested. 

Key phrases: Immersive learning; Virtual reality Teaching; Big learning data; Smarter education.


Our ten pathfinder apps were proposed and championed by teachers within the University of Glasgow, for the benefit of their students. Here we acknowledge their ongoing contribution:

Mr Adam Dundas Dr Jonathan Minton
Ms Ann Gow Dr Leah Marks
Dr Avril Edmond Dr Mark Wong
Dr Brian Barrett Dr Nicola Veitch
Prof Christopher Carman Dr Pamela Scott
Dr Claire Donald Dr Paul Rea
Dr Craig Daly Dr Pedro Parreira
Dr Dianne Scott Dr Robert Cowan
Prof Edward Tobias Dr John MacDonald
Dr Eric Yao Prof Robert Nibbs
Dr Gillian Douce Dr Shona McQuilken
Dr Jenny Clancy Prof Simon Milling
Dr Johanna Green Dr Sonya Taylor