We just received word this morning that our proposal titled “Investigating Course-Level Analytics in Online Classes” was accepted to the OLC Innovate 2016 conference.
The presentation builds on the work I am doing with colleagues Angelika Kraemer, Jessica Knott and Stephen Thomas here at MSU to explore how course level data can be used to promote high quality teaching and learning.
Some guiding questions we pose:
- How is your institution looking at learning analytics? What support is there for more focused, course-based work?
- Are there data points in your LMS or elsewhere which can deliver information that would inform teaching, but which were not necessarily intended to provide that information?
- How do you navigate issues of validity, statistical power, etc. when working with course level data? How can you make decisions with relative certainty, even if they are not widely generalizable.
- What data and analysis tools do you need and how might you use them yourself or with faculty?