Evidence map›Paper›PMID 42316184›Full record

ArticleBMC medical education2026

Online learning resource preferences across learning stages: a cognitive load theory perspective in UK medical students in early years.

Yizhen Wang, Xiaomeng Zhang, Chao Wang, Xiaoming Xing, Vrinda Nayak

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yizhen Wang *Department of Clinical Medicine, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, Shandong, 266000, China. yizhen.wang@qdu.edu.cn.
Xiaomeng Zhang *Department of Pathology, AmsterdamUMC, Meibergdreef 9, Amsterdam, 1105 AZ, Netherlands.
Chao Wang *Department of Clinical Medicine, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, Shandong, 266000, China.
Xiaoming XingDepartment of Pathology, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, Shandong, 266000, China. xiaoming.xing@qdu.edu.cn.
Vrinda NayakUniversity of Exeter Medical School, University of Exeter, Exeter, Devon, EX1 2LU, UK. V.Nayak@exeter.ac.uk.

Funding

the Shandong Undergraduate Teaching Reform Project from the Department of Education of Shandong Province Grant No. Z2022112
6 · The paper itself

Abstract

backgroundOnline learning resources (OLRs) have become an important part of the education for students in the early years of the medicine programme (Years 1-2) in the UK. There are a variety of OLRs. However, an excessive amount of resources can impose a significant cognitive load. Students selectively use OLRs to avoid cognitive load, forming their preferences for OLRs. When students use OLRs before and after class, as well as before exams, these distinct learning stages involve different learning objectives and challenges. Thus, students' preferences for OLRs may also differ. This study aims to identify how OLRs preferences change across different learning stages (pre-class, post-class, and pre-exam), enabling educators to provide more targeted OLRs support to learners based on an understanding of their cognitive needs.

methodsThis cross-sectional study used a self-administered questionnaire. Participants were early-year medicine undergraduates (Years 1-2) at the University of Exeter. The questionnaire included Likert scales and open-ended questions. To examine undergraduates' OLRs preferences and attitudes, one- and two-way repeated-measures ANOVA analyses were conducted. Qualitative analysis of open-ended responses utilized a framework combining Braun and Clarke's reflexive thematic analysis with Krippendorff's principles of content validity.

resultsThe most preferred OLRs vary across different learning stages. The highest-scoring OLRs were interactive videos (3.16 ± 0.86, out of 4) in the pre-class stage, optional practice questions (3.65 ± 0.71, out of 4) in the post-class stage, and online mock exams (3.89 ± 0.38, out of 4) in the pre-exam stage. Personal study habits, content value, time cost, and resource delivery are crucial factors that influence learners' preferences.

conclusionsLearners' preferences for OLRs vary across different stages of the learning process. Understanding these patterns may help educators better align the design and delivery of OLRs with students' perceived needs. For example, providing interactive, vivid, and clearly structured materials during early learning stages and incorporating practice questions or self-assessment opportunities after classes and before examinations may better support learners' preparation and consolidation. While these findings reflect learners' reported preferences rather than objective measures of learning effectiveness, they offer insights that may inform the development of stage-appropriate OLRs.

Indexed as

CognitionComputer-Assisted InstructionEducation, DistanceEducation, Medical, UndergraduateLearningStudents, MedicalCross-Sectional StudiesDigital MediaFemaleHumansMaleSurveys and QuestionnairesUnited KingdomYoung AdultCognitive load theoryEarly-Year medical undergraduatesLearning stageOnline learning resourcesPreference

Identifiers

PMID42316184
PMCPMC13420853

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.