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Graphing instruction benefited K–12 STEM learning

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Research area:computer-science-ai

What the study found

The review found that graphing instruction in K–12 STEM education was generally beneficial for student learning. It was associated with better graph construction and also improved graph interpretation skills.

Why the authors say this matters

The authors conclude that graphing is an important student activity in STEM education because it connects understanding graphs with creating them. The review suggests that students could benefit from an in-depth analysis of authentic data during graphing.

What the researchers tested

The researchers conducted a systematic review of empirical studies on graphing, meaning the construction of convention-based graphical representations of numerical data. They searched SCOPUS, ERIC, and PsychInfo and included 54 peer-reviewed empirical studies on graphing in K–12 STEM education.

What worked and what didn't

Graphing instruction seemed to improve students' graph construction skills. It also appeared to improve graph interpretation skills, but students still experienced various difficulties during graph construction as well as during interpretation and use of data.

What to keep in mind

The abstract does not describe detailed limitations beyond the review's inclusion criteria and database search. The findings are limited to the 54 peer-reviewed empirical studies identified in K–12 STEM education.

Key points

  • The review covered 54 peer-reviewed empirical studies on graphing in K–12 STEM education.
  • Graphing instruction seemed to benefit student learning.
  • The reported benefits included better graph construction and graph interpretation skills.
  • Students experienced difficulties both in making graphs and in working with data.
  • The authors suggest that in-depth analysis of authentic data may help students during graphing.

Disclosure

Research title:
Graphing instruction benefited K–12 STEM learning
Authors:
Verena Ruf, Dominik Thüs, Sarah Malone, Stefan Küchemann, S. Becker, Markus Vogel, Roland Brünken, Jochen Kühn
Institutions:
Heidelberg University of Education, LMU Klinikum, LMU Klinikum, LMU Klinikum, Ludwig-Maximilians-Universität München, Ludwig-Maximilians-Universität München, Ludwig-Maximilians-Universität München, Saarland University, Saarland University, Saarland University, TH Köln – University of Applied Sciences
Publication date:
2026-03-01
DOI:
10.1007/s10763-026-10653-3
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.

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