A Systematic Review of Empirical Research on Graphing Numerical Data in K-12 STEM Education
Verena Ruf, Dominik Thues, Sarah Malone, Stefan Kuechemann, Sebastian Becker-Genschow, Markus Vogel, Roland Bruenken, Jochen Kuhn

TL;DR
This systematic review synthesizes 50 empirical studies on how K-12 students learn to construct and interpret graphs in STEM education, highlighting benefits and common difficulties encountered.
Contribution
It provides a comprehensive overview of research on graphing skills in K-12 STEM, identifying effective instructional approaches and persistent student challenges.
Findings
Graphing instruction improves construction and interpretation skills.
Students face various difficulties in both creating and understanding graphs.
Empirical evidence supports the benefits of teaching graphing in STEM education.
Abstract
Graphs are essential representations in the professions and education concerning the science, technology, engineering, and mathematics (STEM) disciplines. Beyond their academic relevance, graphs find extensive utility in everyday scenarios, ranging from news media to educational materials. This underscores the importance of people's being able to understand graphs. However, the ability to understand graphs is connected to the ability to create graphs. Therefore, in school education, particularly in STEM subjects, not only the understanding but also the skill of constructing graphs from numerical data is emphasized. Although constructing graphs is a skill that most people do not require in their everyday lives and professions, it is a well-established student activity that has been empirically studied several times. Therefore, since a synthesis of the research findings on this topic has…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
