Modeling and Measuring Tree-Reading Skills in Undergraduate and Graduate Students.


Journal

CBE life sciences education
ISSN: 1931-7913
Titre abrégé: CBE Life Sci Educ
Pays: United States
ID NLM: 101269039

Informations de publication

Date de publication:
09 2021
Historique:
entrez: 8 6 2021
pubmed: 9 6 2021
medline: 25 6 2021
Statut: ppublish

Résumé

Evolutionary trees are central to learning about evolutionary processes, yet students at all educational levels struggle to read and interpret them. The synthetic tree-reading model (STREAM), based on published and not yet empirically tested models, was tested to determine whether the assumed hierarchy of the model could be substantiated and how far students' skills could be distinguished empirically. We developed a tree-reading test instrument based on STREAM and assessed it with 592 undergraduate and graduate biology students. Following item response theory, we conducted a dimensional analysis and evaluated item difficulty. Investigating item difficulty and the resulting Wright map showed that skill levels displayed a broad scatter of overlapping item difficulty. Furthermore, the skill level assumed easiest was actually the third most difficult. No conclusive evidence of the hierarchical nature of the model was obtained. Dimensional analysis showed that a five-dimensional model outperformed all other reasonable models, corroborating that the skills could be arranged in empirically differentiable groups. Consequently, we revised the STREAM by discarding the hierarchical organization, using a five-dimensional organization instead. Comparison of the revised STREAM with another recently published approach showed that, although these two instruments have a different focus, they are supplemental approaches that show comparable results.

Identifiants

pubmed: 34100648
doi: 10.1187/cbe.20-06-0131
pmc: PMC8715814
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

ar32

Références

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pubmed: 25185231
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pubmed: 16284166
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Auteurs

Thilo Schramm (T)

Department of Biology Education, University of Duisburg-Essen, 45141 Essen, Germany.

Anika Jose (A)

Department of Biology Education, University of Duisburg-Essen, 45141 Essen, Germany.

Philipp Schmiemann (P)

Department of Biology Education, University of Duisburg-Essen, 45141 Essen, Germany.

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Classifications MeSH