Learning Analytics to Enhance the Student Learning Experience in Chemistry

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 Address Removed]:

• 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.