The focus of this project has been on enabling flexible learning through the use of Computer Science techniques and computer based platforms and tools.

This was devloped as part of an AdvanceHE funder project.

Related links and outputs

1. Flexible Pedagogies in general: https://www.advance-he.ac.uk/knowledge-hub/flexible-pedagogies-technology-enhanced-learning 

2. Flexible Learning in Computer Science, Flexible Learning in Computer Science | New Directions in the Teaching of Natural Sciences 

This focus has been on the utilisation of games related mechanics or platforms to teach. 

Related links and outputs:

1. Maximising Gain for Minimal Pain: Utilising Natural Game Mechanics
   https://www.tandfonline.com/doi/full/10.11120/ital.2013.00004

2. Approaches to Measuring Attendance and Engagement
   Approaches to Measuring Attendance and Engagement | New Directions in the Teaching of Natural Sciences 

Human Computer Interaction plays a significant part in the use of tech to teach. This is particularly the case with mobile learning and education.

Related links and outputs:

1. A Guidance and Evaluation Approach for mHealth Education Applications
   https://link.springer.com/chapter/10.1007/978-3-319-58515-4_26

AI is well established within computer science. Learning Analytics utilises these techniques, and the growing use of Machine Learning and AI to assist in analysing and understanding based on the big data now available through VLE and other platforms used to teach.

The ethical use of AI - especially emerging Generative AI -  in all parts of human activity is of increasing interest, and another focus for us is the ethics around this use in education.

Related links and outputs:

1. Learning Analytics and Deep Learning in Large Virtual Learning Environments (VLEs)
   https://skeenapublishers.com/journal/ijeti/IJETI-03-00029.pdf

The teaching of programming and software engineering can be a challenge: one theme we look at is how to improve this, sometimes using Software Engineering techniques to apply to the teaching itself

Related links and outputs:

1. Dixon, J.W. and Gordon, N.A., (2022) Improving Graduate Futures and Employability Through Embedded Industrial Experience, New Directions in the Teaching of Physical Sciences, 17, pp 1-11

2. Gordon, N., Cargill, M., Grey, S. and Brayshaw, M. (2020) Refining the Teaching of Programming. INSPIRE XXV, p.97. British Computer Society.

3. Gordon, N., Brayshaw, M., Dixon, J., Grey, S., Parker, D.J., The role of gamification in a software development lifecycle.  In proceeedings of INSPIRE XXVI "Delivering Global Education and Impact in Emergencies using e-learning", Online:
   https://www.bcs.org/media/7870/inspire-2021-proceedings.pdf