Building on the work of the Library Analytics and Metrics Project (LAMP). Develop further use cases to extend the data set and look at learner analytics in relation to resource usage.
A network and guide to support approaches used by institutions to a) support learners identified as at risk b) to modify the institutional behaviour to improve learning attainment. This could be a blog/online resource and series of workshops/network meetings (which could be led by membership bodies?)
Provide opportunities for institutions at similar stages of learner analytics implementation to work together and share what they are doing through a series of special interest groups. Suggested groups could be around course dashboards, attendance tracking, ethics, BME and gender groups, etc.
Research existing learner analytics and produce a basic summary of the metrics (what data matters and how to analyse it). This study would also provide some key learning from existing learner analytics that could be used by institutions to make informed decisions about their choice of analytics tools and how to interpret information. The report would also support a more DIY solution to the course/student dashboard.
A report to inform institutions on what specific data they need to gather to do effective learner analytics. Combined with the metrics this will avoid all institutions from gather vast amounts of data unnecessarily and wasting time doing their own analytics to determine what correlations are significant for predicting student attainment.
Undertake a short study (3 months) to review existing institutional and commercial learner analytics tools to allow institutions to make informed choices on the best solutions for them.
Produce a personalised dashboard for students that shows their engagement and attainment. Use analytics to provide information to help the student to achieve better results and/or chose the best pathway/module choices. To do this we will explore existing institutional and commercial solutions.
Develop a code of practice for institutions on use of learner analytics and student data. The code should explore ethical issues, good and bad practice, legal requirements and how to do learner analytics in a positive way.
