How Rule Induction Data Mining Can and Cannot Be Useful for Education Research

• In Event: 77.056 - Fairmont Royal York Roundtable Session Seven
  In Roundtable Session: 77.056-2 - Data Mining and Unconventional Data Sources

Abstract

This paper shares insights and recommendations on how rule induction data mining can and cannot be useful to education research, based on re-analyzing two regression studies with rule induction approaches. Processes and findings were compared to identify whether, how, and why rule induction could add value. I found that rule-based approaches can provide unique descriptions of the sample that shows at-a-glance, how key predictors relate to each other and to the outcome. They can also identify relationships between variables that held for some subgroups but not others. It was important to clearly understand the difference between mining rules and mining rulesets, as well as the unique research questions that these answer, so that they complement rather than replace regression.

Author

• Emi Iwatani, Digital Promise