We (SoLAR) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. We have a great group of presenters next week.
If you are interested, you can join the course here: https://learn.canvas.net/enroll/T3YMLF
A short intro video to the goal of the symposium:
From the symposium description:
While research in learning analytics has advanced, limited attention has been paid to the larger policy and strategy considerations that influence the adoption and deployment of analytics in educational settings. Educational data is complex. Different state and provincial agencies collect a range of data on learner and institutional performance. International organizations such as OECD collect and compare performance of learners in the primary and secondary levels. In higher education, annual rankings produce bragging rights for advancing universities and soul searching declining universities.
The problem of data, at a systems level, seems too large and too complex to tackle. Over the last four years, the Society for Learning Analytics Research (SoLAR) has hosted conferences, workshops, MOOCs, summer institutes, launched a journal, and organized regional events on analytics. During these activities, it has become clear that policy and strategy considerations are hindering the adoption and deployment of LA. More importantly, for researchers, in order for grant-making agencies and foundations to develop research-support programs, the role and value of LA in the education sector needs to be clearly articulated.
This symposium, supported with a grant from Australia’s Office for Learning and Teaching, will engage with researchers and practitioners around the opportunities to advance LA by exploring the various state/provincial/institutional strategy and policy framework. For regions that make effective use of educational data, important competitive advantages exist in the international educational landscape. Our goal over the next two weeks is to evaluate what it means to provide policy and strategy support for systems that are transitioning to data-intensive operations.