Learning at Scale: Using an Evidence Hub To Make Sense of What We Know, Abstract
The large datasets produced by learning at scale, and the need for ways of dealing with high learner/educator ratios, mean that MOOCs and related environments are frequently used for the deployment and development of learning analytics. Despite the current proliferation of analytics, there is as yet relatively little hard evidence of their effectiveness. The Evidence Hub developed by the Learning Analytics Community Exchange (LACE) provides a way of collating and filtering the available evidence in order to support the use of analytics and to target future studies to fill the gaps in our knowledge.
Ferguson, Rebecca (2016). Learning at Scale: Using an Evidence Hub To Make Sense of What We Know. In: L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale, ACM, New York.
I also took a companion poster to the LAK16 conference, which took place later in the week in the same venue. The posters are designed (by digital media specialist Peter Devine) to stand alone or to work together.
This poster sets out the background and development of the LACE Evidence Hub, a site that gathers evidence about learning analytics in an accessible form. The poster also describes the functionality of the site, summarises its quantitative and thematic content to date and the state of evidence. In addition, it encourages people to add to and make use of the Hub.
Ferguson, Rebecca and Clow, Doug (2016). Learning Analytics Community Exchange: Evidence Hub. In: 6th International Learning Analytics and Knowledge (LAK) Conference, 25-29 April, 2016, Edinburgh, Scotland.