Evidence map›Paper›PMID 40564414›Full record

ArticleBioengineering (Basel, Switzerland)2025

A Multimodal Neurophysiological Approach to Evaluate Educational Contents in Terms of Cognitive Processes and Engagement.

Vincenzo Ronca, Pietro Aricò, Luca Tamborra, Antonia Biagi, Gianluca Di Flumeri

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Vincenzo RoncaDepartment of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7174-6331
Pietro AricòDepartment of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-3831-6620
Luca TamborraDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-4200-9110
Antonia BiagiDepartment of Technological Innovations and Safety of Plants, Products and Anthropic Settlements, Istituto Nazionale per L'Assicurazione Contro Gli Infortuni Sul Lavoro (INAIL), 00144 Rome, Italy.
Gianluca Di FlumeriDepartment of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-4426-051X

Funding

ERASMUS+ Programme of the EU 2021-1-HR01-KA220-HED-000027562ERASMUS+ Programme of the EU 2022-1-IT02-KA220-HED-000090206HORIZON 2.5 101114765SESAR 3 Joint Undertaking 101114838
6 · The paper itself

Abstract

backgroundUnderstanding the impact of different learning materials in terms of comprehension and engagement is essential for optimizing educational strategies. While digital learning tools are increasingly used, offering and multiplying different educational solutions, their effects on learners' mental workload, attention, and engagement remain underexplored. This study aims to investigate how different types of learning content-educational videos, academic videos, and text reading-affect cognitive processing and engagement.

methodsNeurophysiological signals, including electroencephalography (EEG), electrodermal activity (EDA), and photoplethysmography (PPG), were recorded from experimental participants while they were engaged with each learning content. Subjective assessments of cognitive effort and engagement, together with a quiz to assess the knowledge acquisition, were collected through questionnaires for each tested content. Key neurophysiological metrics, such as engagement and Human Distraction Index (HDI), were computed and compared across conditions.

resultsOur findings indicate that video-based learning materials, particularly educational videos with visual enhancements, elicited higher engagement and lower cognitive load compared to text-based learning. The text reading condition was associated with increased mental workload and a higher distraction index, suggesting greater cognitive demands. Correlation analyses confirmed strong associations between neurophysiological indicators and subjective evaluations.

conclusionsThe results highlight the potential of neurophysiological measures to objectively assess learning experiences, paving the way for designing more effective and engaging learning platforms.

Indexed as

educationEEGlearningmental statesneurophysiology

Identifiers

PMID40564414
PMCPMC12189805

What OpenQuestion holds

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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.