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Analysing Big Data to Understand Learning

  • Full or part time
    Dr T Stafford
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

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 funding or sponsored students only. No University funding.

NB The University has some tuition fee scholarship under competition - application deadline is 23 January 2019 at 5pm

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.

Related Subjects

How good is research at University of Sheffield in Psychology, Psychiatry and Neuroscience?

FTE Category A staff submitted: 34.45

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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