Evidence map›Paper›PMID 37000671›Full record

ArticleCBE life sciences education2023

Improving University Life Science Instruction with Analogies: Insights from a Course for Graduate Teaching Assistants.

Sara Petchey, David Treagust, Kai Niebert

Open access · diamondAbstract read
In one paragraph

Article in CBE life sciences education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 3 institutions in 2 countries.

Sara PetcheyInstitute of Education, University of Zurich, Zurich 8001, Switzerland.
David TreagustSchool of Education, Curtin University, Perth 6845, Australia.
Kai NiebertInstitute of Education, University of Zurich, Zurich 8001, Switzerland.
Curtin University · AUUniversity of Zurich · CHZurich University of Teacher Education · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

concepts dominate university science teaching, and much of this content is taught without sufficient connection to students' prior knowledge or everyday experiences. As this can be problematic for students, the aim of this research was to determine the utility and effectiveness of a professional development module on using analogies to make these important connections for learning. We conducted qualitative content analysis of analogies in teaching plans designed by 75 graduate teaching assistants who participated in the module between 2018 and 2021. The module is part of a course on Teaching Science at University (TSU) and pairs cognitive science with a structured analogy design tool, originally developed for K-12 education. Most course participants used the tool systematically and developed analogies linking abstract science target concepts with students' everyday experiences; however, some analogies contained a high cognitive load or unaddressed anthropomorphic logic that might negatively impact learning. Participants' reflections on their learning in the module suggested a new awareness of the need for planning and for active student discussion of analogies, particularly where they break down. This research has shown that TSU's stepwise guidance using a structured pedagogical tool for planning and teaching with analogies is highly suitable for higher education.

Indexed as

Biological Science DisciplinesStudentsHumansLearningTeachingUniversities

Identifiers

PMID37000671
PMCPMC10228267
OpenAlexW4362469422

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.