Nurturing Data Science Skills Through Science Inquiry: Designed Based on the Knowledge-Building Approach

• In Event: AERA Roundtable Session Friday 3:20 pm Four Seasons Ballroom 1
  In Roundtable Session: Division C - Section 1d: Science Roundtable Session (Table 12)

Abstract

It is an imperative challenge to train future generations to be data-literate as data has permeated everyday lives. Scientific inquiry provides opportunities for students to conduct investigations. However, there is a lack of research on how K-12 students learn and use data in science inquiry. To address this gap, we developed a Data Science program using the Knowledge Building approach, fostering science inquiry. We examined how 68 students' data science skills were demonstrated during and after the program. Participants engaged in data science processes. Their artifacts demonstrated strengths in identifying variables, aligning data with investigative questions, and interpreting results. However, participants were inadequate in considering alternative variables, justifying the rationale of investigations, and analyzing data comprehensively.

Authors

• Gaoxia Zhu, National Institute of Education - Nanyang Technological University

• Chin Lee Ker, National Institute of Education - Nanyang Technological University