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Using learning analytics on Big Data to design more effective learning practices

  • Full or part time
    Dr Stafford
  • Application Deadline
    Wednesday, February 01, 2017
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK 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

This is one of many projects in competition for the current funding opportunities available within the Department of Psychology. Please see here for full details: View Website
Overseas students are welcome to apply for funding but must be able to demonstrate that they can fund the difference in the tuition fees.
Requirements: We ask for a minimum of a first class or high upper second-class undergraduate honours degree and a distinction or high merit at Masters level in psychology or a related discipline.

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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