Guide to identifying Research Questions in Learning Analytics

Learning analytics (LA) is a multidisciplinary field with an overall aim of analysing data to better understand, and so improve, the learning experience for each student. “Learning analytics is about collecting traces that learners leave behind and using those traces to improve learning” Erik Duval (http://www.laceproject.eu/faqs/learninganalytics). This data can include demographic information, previous academic history, assignment and exam performance, interactions with library systems, interactions with student support, attendance data, activity on Virtual Learning Environments (VLEs) and use of ICT (Information Communication Technology) resources. However, analysis of historical data alone will not improve learning; data analysis must also inform and evaluate subsequent changes to the learning journey. This can encompass any of the components that combine to influence a learning journey, including campus facilities and services, educators & support staff, and the student. The following sections look at this data from a number of perspectives, identifying relevant questions and possible areas of research. This is not an exhaustive list of questions, but may serve as a useful resource in brainstorming possible learning analytics initiatives.