I’ve run a range of open courses on a fairly broad range of platforms: D2L, Moodle, Instructure, a mess of social media tools, and (most frequently) with Stephen Downes’ gRSShopper.
This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description:
In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. That’s starting to change. Software companies, researchers, educators, and university leaders recognize the value of data in improving not only teaching and learning, but the entire education sector. In particular, learning analytics enables universities, schools, and corporate training departments to improve the quality of learning and overall competitiveness. Research communities such as the International Educational Data Mining Society (IEDMS) and the Society for Learning Analytics Research (SoLAR) are developing promising models for improving learner success through predictive analytics, machine learning, recommender systems (content and social), network analysis, tracking the development of concepts through social systems, discourse analysis, and intervention and support strategies. The era of data and analytics in learning is just beginning.
I’ll provide more information soon about the design of the course – we are focusing on dual structured and self-organized approaches to the course.