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Analytics is new to the University of Hull although, as we explore the possibilities, it is interesting to find a small number of faculty already considering and developing analytics applications in their departments. This presentation will review the current state of analytics in Hull and outline our thinking on the best approaches to take for the institution. There will be a particular focus on the potential models to better understand how we retain students and enable them to progress as well as discussion on the rationale and reasons for considering analytics including the benefits and value we would hope it could offer to students, faculty and the institution. We will conclude by describing plans for future implementation.
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"The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.(SoLAR: http://www.solaresearch.org/about/)"
We can think of this as the top down or the bottom up, but essentially collect and report on data for specific audiences. Why can't learning analytics be 1st and foremost not "about" learners, but FOR learners? Collect data important for students to monitor their learning, then for teachers who assist students in learning, then for administrators who care about the learning objectives of courses which in turn define programs? Progressing up the ladder (or down the ladder) provides us with ways to organize the data such that it could be sliced and diced in a future we can't yet imagine. Let's model the data!
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