A Comparative Analysis on the Effects of Cognitive Tools in Data Inquiry Cultivation

Abstract

The advent of the big data era has elevated the importance of understanding, analyzing, and mining data, necessitating data science education with cognitive tools aiding data inquiry. However, limited appraisals exist, especially regarding diverse tools' impact on data inquiry cognitive aspects. This study addresses this void by examining cognitive tool impact on data inquiry. The study collected discourse and questionnaire data generated during online collaborative tasks. Epistemic network analysis and difference testing unveiled cognitive pattern disparities, learning motivation, cognitive load, and self-efficacy variations between groups. Block- based group displayed robust cognitive connections in data understanding and preparation. Text-based group focused on modeling and optimization iterations. Motivation and load didn't differ significantly, yet block-based group showed higher self- efficacy. Study concludes by acknowledging limitations and suggesting future research directions.