Month: April 2016

As the implementation of blended learning environments grows, educators and decision-makers are increasingly asking what works, or what will work for their students. Blended learning is defined here as the integration of in-person learning and technology. The existing research base on blended learning in K-12 settings is young (Ferdig & Kennedy, 2014). While there exists… Read more

This is Part III in Scout from University of California’s three-part series, Gradebook analysis with R. If you missed Part I or Part II, click here for Part I and here for Part II In Parts I and II we showed how to clean, tidy, explore and plot your gradebook data. Now it’s time to… Read more

This is Part II in Scout from University of California’s three-part series, Gradebook analysis with R. If you missed Part I, read it here. You can also read Part III here. In Part I, we worked through loading, cleaning, tidying and summarizing gradebooks exported from an LMS. While it’s true that approximately 80% of data… Read more

This is Part I in Scout from University of California’s three-part series, Gradebook Analysis with R. You can read Part II here, and Part III here. Gradebooks are rich sources of information. Hidden among the test, quiz and homework scores often lie important insights into the curriculum and student performance. While assessing a curriculum’s overall… Read more