Much of the current state on learning analytics is based upon existing data. Data that has been discovered rather than generated with the specific purpose of analysis. This necessarily means that we can only ever analyse those digital interactions gathered, often somewhat by accident. This proposal addresses some of that problem. By capturing physical interactions we can begin to understand much more about where and ...more »
Micro Projects 2015
Using data and analytics to support students; improving satisfaction, retention and graduation rates.
Learning Analytics Micro-Projects Invitation
Learning Analytics is often focused on a common set of institutional data sets such as the VLE, student information system and library systems. These will form the core of the basic analytics solution being developed by Jisc. The key questions that will be addressed are likely to be around retention and attainment. We recognise that learning analytics has the potential to offer a lot more.
Members of the Learning Analytics network are invited to suggest ideas for small projects to explore more advanced learning analytics. This might involve the use of data sources beyond what is normally collected by institutions; exploring learning analytics to support a wider variety of learning questions or any activity that stretches our current understanding of learning analytics.
Process, Funding and Timescale
- Submission of ideas via http://analytics.ideascale.com by the 31 May 2015
- Ideas will be voted on by members of the learning analytics network
- The top 6-10 ideas will be invited to pitch at the network meeting in June 2015 (24 June at Nottingham Trent University) where members at the meeting will review and select the ideas against the criteria for selection below
- Funding of £5,000 per project will be provided to the selected ideas (target 3 projects)
- Projects will be required to present their findings at the January 2016 network meeting (date and venue tbc)
- Jisc will consider the feasibility of implementing ideas as part of the learning analytics solution in the future or supporting development of a third party product
Criteria for selection
- Desirability – the number of votes received and the popularity at the network event
- Feasibility – how likely the ideas could be translated into a production service
- Achievable – is the plan for implementation of the study achievable in the timescales
- Strength of the team – how convinced are we that the team have the skills, expertise and time to undertake the work
- Consultation - does the idea consult with stakeholders e.g. learners
- Ethical – whether the ideas is seen to be ethical
Jisc provides digital solutions for UK education and research.
Ideascale is being used to support a Jisc project but is not affiliated with or funded by Jisc in any way.