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?)
Putting the learning analytics in the hands of the students: what actually helps them learn? At Leeds Beckett University, we propose to use learning analytics to engage students in academic self-efficacy around their online learning experience. Hodges (2013), supporting Bandura’s (1997) original work, has emphasised the value of creating online learning environments which promote positive self-efficacy beliefs in students.... more »
There are many occasions when using real data is not feasible, either 1) because doing so would violate privacy or ethical considerations, or 2) because real data is not available (this is likely to apply while people take early steps with learning analytics). Simply obfuscating obviously personal data is not sufficient; there are both examples and theoretical studies that show this kind of attempt at anonymisation can... more »
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 simple induction week game -
-surfaced in Blackboard New Student Area as a module on the Home tab.
-setting simple challenges each day of induction week, Lightweight harvesting and analysis of basic library data -loans, reservations, EZ proxy log activity.
-feedback in the form of a school based leaderboard. -think Hogwarts House points.
We have a significant number of online marking of essays which also have set due dates so are looking at Assignment timings and feedback access. Relationship between time submitted (in relation to deadline) and grade given Hypothesis - students that submit early get better marks Relationship between time feedback accessed (in relation to release date) number of times feedback access and grades on subsequent grades Hypothesis... more »
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 »