Machine Learning for Evaluating Critical Data Literacy in Open Online Learning Environments

Abstract

The study highlights the application of machine learning in assessing critical data literacy in an open online learning network. The study uses Support Vector Machine algorithm to build a predictive model based on a labeled dataset with students’ comments on data visualizations. Features that indicate reflection and curiosity can be used with machine learning algorithms to assess the level of critical data literacy in activities that are adaptive to data representation.