Learning and distraction: Evidence for cognitive load interference in medical education

The disappearance of instructional benefits under distraction suggests a load interference mechanism: Learners cannot benefit from helpful educational instructions when their working memory is already taxed by competing demands. Importantly, this blocking effect represents more than a simple additive effect-it demonstrates a qualitative breakdown where helpful instructional elements become ineffective rather than merely weakened. We discuss the implications for medical education in increasingly distraction-rich learning environments characterised by AI, smartphone notifications and electronic health record alerts.

Authors

Institutions

Publication Details

Journal
Medical Education
Published
2025-12-18
DOI
https://doi.org/10.1111/medu.70136
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learning and distraction: Evidence for cognitive load interference in medical education

Dogus Darici, Ambrose H. Storck, Eva Schoenefeld, Martin Janssen et al.
Medical Education
Visual and Cognitive Learning Processes
article

Learning and distraction: Evidence for cognitive load interference in medical education

Dogus Darici, Ambrose H. Storck, Eva Schoenefeld, Martin Janssen, Konstantin Seitzer, Michelle Bellstedt, Birte Barbian, Clemens Grahl Römer, Steffen Ansorge
article en

Abstract

The disappearance of instructional benefits under distraction suggests a load interference mechanism: Learners cannot benefit from helpful educational instructions when their working memory is already taxed by competing demands. Importantly, this blocking effect represents more than a simple additive effect-it demonstrates a qualitative breakdown where helpful instructional elements become ineffective rather than merely weakened. We discuss the implications for medical education in increasingly distraction-rich learning environments characterised by AI, smartphone notifications and electronic health record alerts.

Medical Education
Berliner Hochschule für Technik (DE), University of Münster (DE), University Hospital Münster (DE), Institute of Neurobiology (BG), Technische Universität Berlin (DE)
Openalex Percentile: Top 56%
Visual and Cognitive Learning Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.