Evidence map›Paper›PMID 30496033›Full record

ArticleCBE life sciences education2018

The Graph Rubric: Development of a Teaching, Learning, and Research Tool.

Aakanksha Angra, Stephanie M Gardner

Abstract read
In one paragraph

Article in CBE life sciences education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Aakanksha AngraDepartment of Biology, Georgia State University, Atlanta, GA 30303.
Stephanie M GardnerDepartment of Biological Sciences, Purdue University, West Lafayette, IN 47907.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As undergraduate biology curricula increasingly aim to provide students with access to courses and experiences that engage them in the practices of science, tools are needed for instruction, evaluation, and research around student learning. One of the important skills for undergraduate biology students to master is the selection and creation of appropriate graphs to summarize data they acquire through investigations in their course work and research experiences. Graphing is a complex skill, and there are few, discipline-informed tools available for instructors, students, and researchers to use. Here, we describe the development of a graph rubric informed by literature from the learning sciences, statistics, representations literature, and feedback and use of the rubric by a variety of users. The result is an evidence-based, analytic rubric that consists of categories essential for graph choice and construction: graph mechanics, graph communication, and graph choice. Each category of the rubric can be evaluated at three levels of achievement. Our analysis demonstrates the potential for the rubric to provide formative feedback to students and allow instructors to gauge and guide learning and instruction. We further discuss and identify potentially interesting research targets for science education researchers.

Indexed as

LearningResearchTeachingBiologyCurriculumFeedbackHumansReproducibility of ResultsScienceStudents

Identifiers

PMID30496033
PMCPMC6755892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.