The following is taken from Tony Bate's blog
I include it here as it supports well our work with live data. We are using Analytics already but it is entirely used as a tool to support Teaching and Learning. More specifically, we use it to put in place clear feedback channels between students and teachers. Think of it as embracing Hattie's research by making radical use of data.
------------
Original link
2. Learning analytics: 90% probable
Learning analytics enable easy access to data on the desktop or tablet for instructors, administrators and even students about how students are learning and the factors that appear to influence their learning. The rapid expansion of learning analytics in 2012 is probably going to be the biggest surprise for many people outside the small coterie of people currently using learning analytics. Again, this is not likely to explode in 2012, but it will gain traction quite quickly, and again, there are strong reasons behind this prediction:
I include it here as it supports well our work with live data. We are using Analytics already but it is entirely used as a tool to support Teaching and Learning. More specifically, we use it to put in place clear feedback channels between students and teachers. Think of it as embracing Hattie's research by making radical use of data.
------------
Original link
2. Learning analytics: 90% probable
Learning analytics enable easy access to data on the desktop or tablet for instructors, administrators and even students about how students are learning and the factors that appear to influence their learning. The rapid expansion of learning analytics in 2012 is probably going to be the biggest surprise for many people outside the small coterie of people currently using learning analytics. Again, this is not likely to explode in 2012, but it will gain traction quite quickly, and again, there are strong reasons behind this prediction:
- the biggest driver is going to be appeals and accreditation. Learning analytics enable institutions (and those appealing grades) to access hard ‘evidence’ of student performance, particularly online. Institutions can demonstrate to accreditation agencies what and how students have learned through the use of learning analytics. These may not be the best reasons for using analytics, but they are a very powerful ones, especially as quality assurance boards start latching on to learning analytics.
- LMSs will increasingly provide the software necessary as part of the standard service
- identifying ‘at-risk’ students. There is growing evidence that at-risk students can be identified almost within the first week of a course through indicators that can be tracked through learning analytics, such as amount of activity in an online class, response to e-mails, etc. The challenge will then be to find ways of supporting at-risk students
- tweaking teaching; learning analytics provide instructors with useful data about how and what students are learning, enabling quick changes to materials and to teaching approaches while the course is still running
- course review and planning: learning analytics will improve the evidence for both internal and external course reviews and future course planning.
- identifying and collecting the data in ways that are useful for decision-making
- concerns about student privacy
- data overload for instructors who are already busy
- lack of integration between LMSs and other student information systems















