Claims

Theoretical difficulties during graphing most commonly involve connecting graphs to STEM concepts and interpreting data

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2029: baselines and conditions change

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Conceptual understanding and interpretation were the most common theoretical difficulties described in the included studies, including graph-as-picture errors and trouble making predictions. → Verena Rufai 2024

Evidence

Verena Rufai 2024

Verena Rufai, Dominik Thüsbj, Sarah Malonecj, Stefan Küchemanndi, Sebastian Becker-Genschowe, Markus Vogelf, Roland Brünkengj, Jochen Kuhnhi. (2024). A Systematic Review of Empirical Research on Graphing Numerical Data in K-12 STEM Education. https://eric.ed.gov/?id=ED

q2 · i? · review · r3

In the review's results on theoretical difficulties, the authors report that "Conceptual understanding and interpretation were the most common theoretical difficulties described in the included studies," with fourteen studies reporting difficulties connecting graphs to the depicted STEM concept, such as graph-as-picture errors.

"Conceptual understanding and interpretation were the most common theoretical difficulties described in the included studies."

Discussion

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