Evidence map›Paper›PMID 42651611›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Individual Differences in Learning and Cessation Predict Academic Performance.

Ashley L Macchione, Jeffrey Coldren

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ashley L MacchioneDepartment of Psychological Sciences and Counseling, Youngstown State University, Youngstown, OH 44555, USA.
Jeffrey ColdrenDepartment of Psychological Sciences and Counseling, Youngstown State University, Youngstown, OH 44555, USA.ORCID 0000-0002-1553-7682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most research on learning emphasizes knowledge learning, yet an equally important skill is knowing when to stop. This study examined learning cessation-when to disengage from further attempts once performance has stabilized-and its relation to academic performance. A sample of 183 undergraduates completed three perceptual discrimination problems varying in solvability and mastery criteria. Performance curves were analyzed by measuring error rates, allowing for the measurement of performance within the learning and cessation phases. Learners demonstrated wide variability across all three problem types, persisting well beyond the point at which continued attempts offered additional value. Individual differences in cessation behavior were associated with academic outcomes, though the pattern varied by problem type and outcome measure. Efficient cessation in a solvable task predicted higher ACT scores and high school GPA, while more attempts on the unsolvable problem showed a positive association with ACT performance and university GPA. Findings highlight the educational relevance of regulation efficiency, suggesting that the ability to regulate not only how long to attempt learning but also when to cease is a critical dimension of effective learning.

Indexed as

academic performanceerror rateindividual differenceslearning cessationself-regulation

Identifiers

PMID42651611
PMCPMC13510080

What OpenQuestion holds

Textmetadata
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.