Evidence map›Paper›PMID 39758465›Full record

ArticleMedical science educator2024

Maria Xiromeriti, Philip M Newton

Abstract read
In one paragraph

Article in Medical science educator, 2024. 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
–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

3 citing papers in PubMed.

  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

2 authors.

Maria XiromeritiSwansea University Medical School, Swansea University, Singleton Park Campus, Swansea, Wales, SA2 8PP UK.ORCID 0000-0002-2975-184X
Philip M NewtonSwansea University Medical School, Swansea University, Singleton Park Campus, Swansea, Wales, SA2 8PP UK.ORCID 0000-0002-5272-7979

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problem-solving and higher-order learning are goals of higher education. It has been repeatedly suggested that multiple-choice questions (MCQs) can be used to test higher-order learning, although objective empirical evidence is lacking and MCQs are often criticised for assessing only lower-order, factual, or 'rote' learning. These challenges are compounded by a lack of agreement on what constitutes higher order learning: it is normally defined subjectively using heavily criticised frameworks such as such as Bloom's taxonomy. There is also a lack of agreement on how to write MCQs which assess higher order learning. Here we tested guidance for the creation of MCQs to assess higher-order learning, by evaluating the performance of students who were subject matter novices, vs experts. We found that questions written using the guidance were much harder to answer when students had no prior subject knowledge, whereas lower-order questions could be answered by simply searching online. These findings suggest that questions written using the guidance do indeed test higher-order learning, and such MCQs may be a valid alternative to other written assessment formats designed to test higher-order learning, such as essays, where reliability and cheating are a major concern. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-024-02140-7.

Indexed as

AssessmentBloom’s taxonomyDigital educationHigher-order learning

Identifiers

PMID39758465
PMCPMC11698704

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.