Lab 1 Readings: What is text mining?

Author

LASER Institute

Published

July 20, 2024

Overview

These readings will allow us to build a basic understanding of text mining as an approach to understand and improve student learning and the contexts in which learning occurs. The required and self-selected readings provide an introduction to text mining in the field of education, and text mining more generally.

Readings

Required
  1. Ferreira‐Mello, R., André, M., Pinheiro, A., Costa, E., & Romero, C. (2019). Text mining in education Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(6). https://doi.org/10.1002/widm.1332
Choose One (or more if interested)

  1. Bail, C. (2018). An Introduction to Text as Data. Retrieved from https://cbail.github.io/textasdata/strengths-weaknesses/rmarkdown/Strengths_and_Weaknesses.html

  2. Bail, C. (2020). An Introduction to Text Analysis. Retrieved from https://youtu.be/pLsC4UyzX_U

  3. Fesler, L., Dee, T., Baker, R., & Evans, B. (2019). Text as data methods for education research. Journal of Research on Educational Effectiveness, 12(4), 707-727.

  4. Temos, J. (2016). Text analysis for teaching. The McGraw Center. Retrieved from https://mcgrawect.princeton.edu/text-analysis-for-teaching/

  5. Underwood, T. (2015). Where to start with text mining. The Stone and the Shell. Retrieved from https://tedunderwood.com/2012/08/14/where-to-start-with-text-mining/