Evidence map›Paper›PMID 34230485›Full record

ArticleNPJ science of learning2021

Effects of context on the neural correlates of attention in a college classroom.

Jennie K Grammer, Keye Xu, Agatha Lenartowicz

Abstract read
In one paragraph

Article in NPJ science of learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Neurophysiological signatures of mild traumatic brain injury in the acute and subacute phase.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. EEG Data Quality in Real-World Settings: Examining Neural Correlates of Attention in School-Aged Children.Mind, brain and education : the official journal of the International Mind, Brain, and Education Society · 2022
    Article
  11. Opportunities and Limitations of Mobile Neuroimaging Technologies in Educational Neuroscience.Mind, brain and education : the official journal of the International Mind, Brain, and Education Society · 2021
    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

3 authors.

Jennie K GrammerSchool of Education and Information Studies, University of California, Los Angeles, CA, USA. grammer@ucla.edu.ORCID http://orcid.org/0000-0001-8731-0535
Keye XuSchool of Education and Information Studies, University of California, Los Angeles, CA, USA.
Agatha LenartowiczSemel Institute for Neuroscience and Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-8015-8251

Funding

Combining neural oscillations, physiology and privacy-preserving LiDAR/millimeter wave sensing technology to track attention states in natural contextsR61MH138713 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Emre Ertin, Jennie K. Grammer · 2025 to 2026
$1.3M
Real-time attention tracking in the classroomR21MH119448 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GRAMMER, JENNIE K., LENARTOWICZ, AGATHA · 2019 to 2020
$403k
NIMH NIH HHS R21 MH119448NIMH NIH HHS R61 MH138713
6 · The paper itself

Abstract

Activities that are effective in supporting attention have the potential to increase opportunities for student learning. However, little is known about the impact of instructional contexts on student attention, in part due to limitations in our ability to measure attention in the classroom, typically based on behavioral observation and self-reports. To address this issue, we used portable electroencephalography (EEG) measurements of neural oscillations to evaluate the effects of learning context on student attention. The results suggest that attention, as indexed by lower alpha power as well as higher beta and gamma power, is stronger during student-initiated activities than teacher-initiated activities. EEG data revealed different patterns in student attention as compared to standardized coding of attentional behaviors. We conclude that EEG signals offer a powerful tool for understanding differences in student cognitive states as a function of classroom instruction that are unobservable from behavior alone.

Identifiers

PMID34230485
PMCPMC8260629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.