• Staffordshire University Featured PhD Programmes
  • FindA University Ltd Featured PhD Programmes
  • Aberdeen University Featured PhD Programmes
  • University of Pennsylvania Featured PhD Programmes
  • University of Cambridge Featured PhD Programmes
  • University of Tasmania Featured PhD Programmes
University of Tasmania Featured PhD Programmes
Imperial College London Featured PhD Programmes
University College London Featured PhD Programmes
University of Liverpool Featured PhD Programmes
National University of Singapore Featured PhD Programmes

Learning Analytics to Enhance the Student Learning Experience in Chemistry

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr Seery
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Learning analytics is an emerging discipline considering the measurement, collection and analysis of data about student learning with a view to improving their learning experience. This project involves the design and development of a learning analytics system for chemistry so that students can continually monitor and reflect on their progress, with a view to actively improving their understanding throughout their studies. The project builds on work on using students’ prior chemistry learning to examine future performance (Chem. Ed. Res. Pract., 2009, 10, 227-232) and assessing the impact of learning resources on student performance (Brit. J. Ed. Tech., 2012, 43(4), 667–677).

The project with Dr Michael Seery is fully-funded for 36-months starting in September 2016, covering UK/EU tuition fees and an annual stipend at the EPSRC standard rate (in the region of £14,200 in academic year 2016-17).

Applications are sought from UK/EU candidates with an excellent track record in chemistry or chemistry education with an interest in higher education and the use of technology in education. Experience with e-learning software and statistical processing packages is desirable but not essential. Applicants must have or are expected to receive by the start date a 1st class or an upper 2nd class honours degree (or equivalent).

To apply, applicants should send the following to [email protected]:

• A cover letter detailing interest in the position and any relevant experience.
• A curriculum vitae.

The successful candidate will be required to apply through the EUCLID system as outlined at http://www.chem.ed.ac.uk/studying/postgraduate-research/applications-and-entry-requirements.

The deadline for applications is 1st Feb 2016.

How good is research at University of Edinburgh in Chemistry?
(joint submission with University of St Andrews)

FTE Category A staff submitted: 43.30

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

Click here to see the results for all UK universities
Share this page:

Cookie Policy    X