Required - PreCourse Tasks:
Please install in order:
Create a Posit Cloud account (free) https://docs.posit.co/connect-cloud/user/create/
Install R https://cran.r-project.org/
Install R Studio https://www.rstudio.com/products/rstudio/download/
Directions for the downloading with “steps and visuals” (current as of 7/21) https://go.ncsu.edu/rsetup
For those new to R and programming languages, it is strongly recommended that you complete at minimum the following R Basics Section of Posit Recipes https://posit.cloud/learn/recipes
Read foundational article: Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an “early warning system” for educators: A proof of concept. Computers & education, 54(2), 588-599.
Read: Chapter 1 - https://www.solaresearch.org/publications/hla-22/hla22-chapter1/
Lang, C., Siemens, G., Wise, A., Gasevic, D., & Merceron, A. (Eds.). (2022). Handbook of learning analytics (p. 23). New York: SOLAR, Society for Learning Analytics and Research. DOI:10.18608/hla22
Optional - PreCourse Tasks:
We will be referencing Chapter 2 of Krumm et al. (2018) for this section. Feel free to read it in advance if you’d like additional context. Due to copyright, we can not provide the chapter. Krumm, A., Means, B., & Bienkowski, M. (2018). Learning analytics goes to school: A collaborative approach to improving education. Routledge.
The following is a quick blog read on storytelling with data in education:
Nussbaumer Knaflic, C. (2018, February 15). education visualized. Storytellingwithdata. (https://www.storytellingwithdata.com/blog/2018/2/9/education-visualized)