Key concept This tool will help teams view student activity and workload in an online graphical format, supporting curriculum planning and analysis. By categorising student activity following the Learning Design taxonomy, teams are prompted to consider different types of student activity, which results in more conscious design decisions. As the data is stored in the database, rather than Ms Word documents, it can be analysed... more »
By Vitomir Kovanović, Srećko Joksimović and Dragan Gašević Schools of Informatics and Education, The University of Edinburgh 1 Problem statement One of the widely used theoretical models that describes different dimensions of online learning is Community of Inquiry (CoI) framework (Garrison, Anderson, & Archer, 1999). In short, CoI framework defines three important presences that shape online learning experience: i)... more »
In Adult Education, institutions such as Morley College continually develop large numbers of new courses each year to meet the needs of our potential learners. However, development takes time and resources which are in scarce supply. Additionally there is limited local market information available so often courses are developed with uncertainty as to the demand available. Consistently, cancellation rates for new courses... more »
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.
Produce a course/module dashboard using student information to present tutors and managers with a view of individuals at risk. To do this we will explore existing institutional and commercial solutions and look to provide a possible solution (or set of tools) that can be adopted by institutions. The aim will be to find a basic tool (or set of tools) that benefit the maximum number of institutions. These tools draw in... more »
What is the role of emotions in learning analytics? Dr Bart Rienties & Prof Denise Whitelock (Open University), Prof Steven Warburton (University of Surrey) With the increased availability of large datasets, powerful analytics engines, and visualisations of analytics results, educational institutions may be able to monitor, unpack and understand the learning processes of their learners. A recent Learning Analytics... more »
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.
The University of Greenwich currently collects a large volume of survey data from a number of different sources; as well as the National Student Survey the university also runs many other surveys of different groups of students – postgraduates, new entrants, overseas students etc. Some of these surveys are also conducted by other institutions which means that it is possible to make comparisons and perform benchmarking... more »
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.
We have the data - we collect it from many sources and it tells us lots of different things. But what about if we were to provide innovative teaching and learning, and a classroom space that incorporates new technologies at its very heart, to track the impact on our students? Flipped learning excites and engages people, and builds learning communities. Our project will use learning analytics to follow our students progress... more »
This project will use learning analytics to aid students in understanding the impact of co-created resources. It is hoped that this will encourage greater engagement with learning resources, and in doing so also support student retention. We frequently work with both academic staff and students to enable co-creation of resources. Currently we advise on tools that can be used, pedagogical approaches and integration with... more »
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.
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.
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.
We've got lots of data, we've got lots of correlations, heaven knows we've got a lot of students. The problem is bringing these things together in a way that doesn't seem scary in a big brother/panopticon sort of way... or that doesn't create more work for the hard pressed academics and admins, who are already busy busy busy. ESPECIALLY for those students who are most likley to benefit from the feedback, those that perhaps... more »