Evidence map›Paper›PMID 39796973›Full record

ArticleSensors (Basel, Switzerland)2024

EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects.

Christos Orovas, Theodosios Sapounidis, Christina Volioti, Euclid Keramopoulos

Abstract readScoping Review
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. [Technical maturity and bubble risks of brain-computer interface (BCI): Considerations from research to industrial translation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  4. 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

4 authors.

Christos OrovasDepartment of Products and Systems Design Engineering, University of Western Macedonia, 50100 Kozani, Greece.ORCID 0000-0002-4797-5134
Theodosios SapounidisSchool of Philosophy and Education, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-0763-2516
Christina VoliotiSchool of Philosophy and Education, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0001-7996-8353
Euclid KeramopoulosDepartment of Information and Electronic Engineering, International Hellenic University, 57001 Nea Moudania, Greece.ORCID 0000-0001-6566-6477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Education is an activity that involves great cognitive load for learning, understanding, concentrating, and other high-level cognitive tasks. The use of the electroencephalogram (EEG) and other brain imaging techniques in education has opened the scientific field of neuroeducation. Insights about the brain mechanisms involved in learning and assistance in the evaluation and optimization of education methodologies according to student brain responses is the main target of this field. Being a multidisciplinary field, neuroeducation requires expertise in various fields such as education, neuroinformatics, psychology, cognitive science, and neuroscience. The need for a comprehensive guide where various important issues are presented and examples of their application in neuroeducation research projects are given is apparent. This paper presents an overview of the current hardware and software options, discusses methodological issues, and gives examples of best practices as found in the recent literature. These were selected by applying the PRISMA statement to results returned by searching PubMed, Scopus, and Google Scholar with the keywords "EEG and neuroeducation" for projects published in the last six years (2018-2024). Apart from the basic background knowledge, two research questions regarding methodological aspects (experimental settings and hardware and software used) and the subject of the research and type of information used from the EEG signals are addressed and discussed.

Indexed as

BrainEducationElectroencephalographySoftwareHumansLearningbrain signalselectroencephalogram (EEG)event-related potentials (ERP)neuroeducation

Identifiers

PMID39796973
PMCPMC11723185

What OpenQuestion holds

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LicenceCC BY
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.