Evidence map›Paper›PMID 27486685›Full record

ArticleBiochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology2017

An expanded framework for biomolecular visualization in the classroom: Learning goals and competencies.

Daniel R Dries, Diane M Dean, Laura L Listenberger, Walter R P Novak, Margaret A Franzen, Paul A Craig

Abstract read
In one paragraph

Article in Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Guided inquiry activity linking thermodynamic parameters of protein unfolding to structure using differential scanning fluorimetry data in the biophysical chemistry classroom.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2019
    Article
  4. Review
  5. Lessons from my undergraduate research students.The Journal of biological chemistry · 2018
    Article
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

6 authors.

Daniel R DriesDepartment of Chemistry, Juniata College, Huntingdon, Pennsylvania.ORCID http://orcid.org/0000-0002-0530-5212
Diane M DeanDepartment of Chemistry, University of Saint Joseph, West Hartford, Connecticut.
Laura L ListenbergerDepartments of Chemistry and Biology, St. Olaf College, Northfield, Minnesota.
Walter R P NovakDepartment of Chemistry, Wabash College, Crawfordsville, Indiana.
Margaret A FranzenCenter for BioMolecular Modeling, Milwaukee School of Engineering, Milwaukee, Wisconsin.
Paul A CraigSchool of Chemistry and Materials Science, Rochester Institute of Technology, Rochester, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A thorough understanding of the molecular biosciences requires the ability to visualize and manipulate molecules in order to interpret results or to generate hypotheses. While many instructors in biochemistry and molecular biology use visual representations, few indicate that they explicitly teach visual literacy. One reason is the need for a list of core content and competencies to guide a more deliberate instruction in visual literacy. We offer here the second stage in the development of one such resource for biomolecular three-dimensional visual literacy. We present this work with the goal of building a community for online resource development and use. In the first stage, overarching themes were identified and submitted to the biosciences community for comment: atomic geometry; alternate renderings; construction/annotation; het group recognition; molecular dynamics; molecular interactions; monomer recognition; symmetry/asymmetry recognition; structure-function relationships; structural model skepticism; and topology and connectivity. Herein, the overarching themes have been expanded to include a 12th theme (macromolecular assemblies), 27 learning goals, and more than 200 corresponding objectives, many of which cut across multiple overarching themes. The learning goals and objectives offered here provide educators with a framework on which to map the use of molecular visualization in their classrooms. In addition, the framework may also be used by biochemistry and molecular biology educators to identify gaps in coverage and drive the creation of new activities to improve visual literacy. This work represents the first attempt, to our knowledge, to catalog a comprehensive list of explicit learning goals and objectives in visual literacy. © 2016 by The International Union of Biochemistry and Molecular Biology, 45(1):69-75, 2017.

Indexed as

Computer GraphicsLearningBiochemistryGoalsHumansImage Processing, Computer-AssistedModels, EducationalModels, MolecularMolecular BiologyMolecular ImagingProteinsStudentsProteinsAssessment of educational activitiescomputers in research and teachingcurriculum design development and implementationjudging quality of macromolecular modelsmolecular graphics and representationsmolecular visualizationskill development including cognitive skillsteaching and learning techniques methods and approachesusing modeling as a research tool for investigating teachingvisual literacy

Identifiers

PMID27486685
PMCPMC5297871

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.