Attentional state, not trait, predicts test performance in video-based learning

Poor academic performance is often linked to attention deficits, but it remains unclear whether these reflect enduring traits or momentary lapses in focus. In this study, we examined how state and trait-level attention relate to learning from short educational videos. Across four experiments (<i>N</i> = 152), participants completed standardized assessments of inattention, hyperactivity, working memory capacity, and GPA. They then viewed 3-6-min educational videos while electroencephalography (EEG) tracked neural responses, followed by quizzes assessing short-term retention. Neural synchrony during video viewing, a measure of attentional state, strongly predicted test performance (<i>p</i> < 0.001). In contrast, trait inattention did not predict retention (<i>p</i> > 0.05), although it was negatively associated with GPA. Attentional state was positively associated with working memory capacity but not with trait inattention. These findings suggest that students with attentional difficulties can still learn effectively from short, engaging content, emphasizing the importance of instructional format in supporting diverse learners.

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Publication Details

Journal
iScience
Published
2025-09-23
DOI
https://doi.org/10.1016/j.isci.2025.113622
Citations
1
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
2.48
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article

Attentional state, not trait, predicts test performance in video-based learning

Lucas C. Parra, Jens Madsen
1 citations
iScience
Intelligent Tutoring Systems and Adaptive Learning
2.48
article

Attentional state, not trait, predicts test performance in video-based learning

Lucas C. Parra, Jens Madsen
article en
1 citations

Abstract

Poor academic performance is often linked to attention deficits, but it remains unclear whether these reflect enduring traits or momentary lapses in focus. In this study, we examined how state and trait-level attention relate to learning from short educational videos. Across four experiments (<i>N</i> = 152), participants completed standardized assessments of inattention, hyperactivity, working memory capacity, and GPA. They then viewed 3-6-min educational videos while electroencephalography (EEG) tracked neural responses, followed by quizzes assessing short-term retention. Neural synchrony during video viewing, a measure of attentional state, strongly predicted test performance (<i>p</i> < 0.001). In contrast, trait inattention did not predict retention (<i>p</i> > 0.05), although it was negatively associated with GPA. Attentional state was positively associated with working memory capacity but not with trait inattention. These findings suggest that students with attentional difficulties can still learn effectively from short, engaging content, emphasizing the importance of instructional format in supporting diverse learners.

iScienceVol. 28(10)
City College of New York (US)
Openalex Percentile: Top 8%
Intelligent Tutoring Systems and Adaptive Learning
2.48
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