Evidence map›Paper›PMID 32870085›Full record

ArticleCBE life sciences education2020

Optimizing the Efficacy of Learning Objectives through Pretests.

Faria Sana, Noah D Forrin, Mrinalini Sharma, Tamara Dubljevic, Peter Ho, Ezza Jalil, Joseph A Kim

Abstract read
In one paragraph

Article in CBE life sciences education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Annotations ofCBE life sciences education · 2024
    Article
  4. Article
  5. Writing and Using Learning Objectives.CBE life sciences education · 2022
    Article
  6. 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

7 authors.

Faria SanaCentre for Psychology, Athabasca University, Edmonton, Alberta, T5J 3S8, Canada.
Noah D ForrinDepartment of Psychology, Neuroscience & Behaviour, Hamilton, Ontario, L8S 4K1, Canada.
Mrinalini SharmaDepartment of Psychology, Neuroscience & Behaviour, Hamilton, Ontario, L8S 4K1, Canada.
Tamara DubljevicDepartment of Psychology, Neuroscience & Behaviour, Hamilton, Ontario, L8S 4K1, Canada.
Peter HoDepartment of Psychology, Neuroscience & Behaviour, Hamilton, Ontario, L8S 4K1, Canada.
Ezza JalilDepartment of Psychology, Neuroscience & Behaviour, Hamilton, Ontario, L8S 4K1, Canada.
Joseph A KimDepartment of Psychology, Neuroscience & Behaviour, Hamilton, Ontario, L8S 4K1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning objectives (LOs) are statements that typically precede a study session and describe the knowledge students should obtain by the end of the session. Despite their widespread use, limited research has investigated the effect of LOs on learning. In three laboratory experiments, we examined the extent to which LOs improve retention of information. Participants in each experiment read five passages on a neuroscience topic and took a final test that measured how well they retained the information. Presenting LOs before each corresponding passage increased performance on the final test compared with not presenting LOs (experiment 1). Actively presenting LOs increased their pedagogical value: Performance on the final test was highest when participants answered multiple-choice pretest questions compared with when they read traditional LO statements or statements that included target facts (experiment 2). Interestingly, when feedback was provided on pretest responses, performance on the final test

Indexed as

LearningEducational MeasurementFeedbackHumansReadingStudents

Identifiers

PMID32870085
PMCPMC8711814

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.