Differences in Data Modeling Stage Characteristics and Data Literacy Between High- and Low-Performance Groups

• In Event: Supporting Teaching and Learning in Mathematics

Abstract

There is a lot of research on data mining processes, among which CRISP-DM (CRoss-Industry Standard Process for Data Mining) is widely regarded as a general standard process with six stages. And data literacy is an important capability in the data mining process. This study is based on a data mining course for pre-service information technology teachers. The discussion discourse of high and low performance groups was collected, coded and statistically analyzed. This study found the distribution of each stage in the data mining process and the difference of groups from data literacy. This research provides empirical evidence for the subsequent cultivation of data literacy.

Authors

• jieyu liu, East China Normal University
  Presenting Author

• Bian Wu, East China Normal University
  Non-Presenting Author