@misc{10481/88815,
year = {2023},
month = {11},
url = {https://hdl.handle.net/10481/88815},
abstract = {The level of student attention in class greatly affects their academic performance. Teachers
typically rely on visual inspection to react to students’ attention in time, but this subjective method
leads to inconsistencies across classes. Online education exacerbates the issue as students can turn off
cameras and microphones to keep their own privacy. To address this, we present a novel, low-cost
EEG-based platform for assessing students’ attention and estimating their academic performance. In a
study involving 34 secondary school students (aged 14 to 16), participants watched an academic video
and answered evaluation questions while their EEG activity was recorded using a commercial headset.
The results demonstrate a significant correlation (0.53, p-value = 0.003) between the power spectral
density (PSD) of the EEG beta band (12–30 Hz) and students’ academic performance. Additionally,
there was a notable difference in PSD-beta between high and low academic performers. These
findings encourage the use of PSD-beta for the immediate and objective assessment of both the
student attention and the subsequent academic performance. The platform offers valuable and
objective feedback to teachers, enhancing the effectiveness of both face-to-face and online teaching
and learning environments.},
organization = {This work was supported by grant B-TIC-352-UGR20, Junta de Andalucía; grant PID2021-128529OA-I00, MCIN/AEI/10.13039/501100011033, and by ERDF A way of making Europe; grant
PP2021.PP-28, University of Granada; grant PROYEXCEL_00084, P21_00084P21_00084, Projects for
Excellence Research, funded by the Council for Economic Transformation, Industry, Knowledge and
Universities, Junta de Andalucía 2021.},
organization = {The study was approved by The Research Ethics Committee
of the University of Granada (3582/CEIH/2023)},
publisher = {SENSORS},
title = {Low-Cost EEG Multi-Subject Recording Platform for the Assessment of Students’ Attention and the Estimation of Academic Performance in Secondary School},
doi = {10.3390/s23239361},
author = {Fuentes-Martínez, Víctor Juan and Romero García, Samuel Francisco and López Gordo, Miguel Ángel and Minguillón Campos, Jesús and Rodríguez Álvarez, Manuel},
}