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Analysing Big Data to Understand Learning


Department of Psychology

About the Project

I have access to large existing data sets which contain the potential to show skill development on real-world tasks for large numbers of people (i.e. n>1,000,000 in domains of chess and online maths education). Using theory from the cognitive science of learning and advanced statistical models we will test theories of what makes learning most effective. The ambition will be to design more effective learning practices. You will finish this PhD with a deep understanding of the psychology of learning and a skill set encompassing state-of-the-art open-source analytics tools.

Funding Notes

Self funded or sponsored students only

NB The University has some scholarships under competition - application deadline is 29 January 2020 at 5pm. More details can be found - View Website

Start dates are October and March yearly

References

Stafford, T. & Dewar, M. (2014). Tracing the trajectory of skill learning with a very large sample of online game players. Psychological Science, 25(2) 511-518.

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