Evidence map›Paper›PMID 41252038›Full record

ArticleAdvances in experimental medicine and biology2026

Learning Management System (LMS) Design Toward Precision Education Using Brain Data.

Dimosthenis C Karakatsoulis, Georgios N Dimitrakopoulos, Aristidis G Vrahatis, Nikolaos Matzakos, Spyridon Doukakis

Abstract read
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Article in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dimosthenis C KarakatsoulisBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Georgios N DimitrakopoulosBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Aristidis G VrahatisBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Nikolaos MatzakosSchool of Pedagogical and Technological Education, Athens, Greece.
Spyridon DoukakisBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of computational analysis models in education is becoming increasingly significant, providing insights into student behavior and performance. This study presents the design and implementation of a learning management platform that utilizes signal analysis and machine learning techniques on neuroeducation data. By collecting and analyzing electroencephalogram (EEG) data from students engaged in educational activities on Moodle, the platform offers data-driven insights for improving learning outcomes. The study involved EEG data collection from 21 students using the Muse 2 headset while they participated in structured activities, including self-assessment tests, video learning, and interactive exercises. The findings suggest that EEG-based computational analysis can enhance precision education by identifying cognitive engagement patterns, informing adaptive learning strategies, and optimizing resource allocation.

Indexed as

BrainElectroencephalographyLearningMachine LearningFemaleHumansMaleStudentsBrain analysisEEGLearning analyticsLearning Management Systems (LMS)NeuroeducationPrecision Education

Identifiers

PMID41252038

What OpenQuestion holds

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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.