For Unit 1, we will focus on online science classes provided through a state-wide online virtual school and conduct an analysis that help predict students' performance in these online courses. This case study is guided by a foundational study in Learning Analytics that illustrates how analyses like these can be used develop an early warning system for educators to identify students at risk of failing and intervene before that happens.

Our primary aim for this case study is to gain some hands-on experience with essential R packages and functions for SNA. We learn how to preparing network data for analysis and creating a simple network sociogram to help describe visually what our network “looks like.” Specifically, this case study will cover the following topics pertaining to each data-intensive workflow process (Krumm, Means, and Bienkowski 2018).

Outline of Biostats class chapters 10-15. Covers R code used in various statistical methods such as normal distributions, Z distributions, t-test, and ANOVAs.