Electroencephalogram (EEG) Signals for Modern Educational Research

Bashir, Fatima; Ali, Ahmed S.; Soomro, Toufique Akbar; Marouf, Mustafa; Bilal, Muhammad; Chowdhry, Bhawani Shankar

doi:10.1201/9781003143796-10

Cited by 3 publications

(3 citation statements)

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“…Complementariamente y como fuentes secundarias, utilizamos otros trabajos sobre la historia y el desarrollo de las neurociencias. En tanto los estudios con EEG en aulas son de desarrollo reciente, encontramos diversas revisiones bibliográficas que dan cuenta de los avances y limitaciones de los experimentos en neurociencia educacional (Bashir et al, 2022;Dadebayev et al, 2021;Ibanez, 2022;Värbu, Muhammad y Muhammad, 2022;Vidal y Ortega, 2020). Planteamos tres dimensiones de análisis para comprender los procesos de producción de conocimientos en los lugares híbridos: a) Organizacional.…”

Section: Metodologíaunclassified

“…Más allá de estos esfuerzos, las investigaciones tienen ciertos límites, dado que las condiciones de las aulas pueden variar más allá de los controles establecidos por los científicos y porque las prácticas educativas cambian entre los días, grupos y escuelas. Las investigaciones neurocientíficas en aulas aún se están desarrollando y los resultados no son concluyentes (Bashir et al, 2022).…”

Section: Conclusionesunclassified

“…Los EEG están en estado de desarrollo y presentan dificultades por errores de medidas e inconvenientes para usarse en muestras a gran escala y por períodos extendidos. Sin embargo, según Bashir et al (2022), podrían utilizarse extensivamente en educación si, en un futuro cercano, se superan dichas dificultades.…”

Section: Introductionunclassified

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¿Cómo investigar una práctica social?

Sosiuk,

Mauro

2023

Cienc. docencia tecnol.

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En este artículo, nos preguntamos: ¿cómo los científicos diseñan nuevos lugares para investigar prácticas sociales? Para dar respuesta, tomamos aportes de los Estudios sobre Ciencia, Tecnología y Sociedad y la Filosofía de la Ciencia. En particular, indagamos en cómo los diversos lugares de investigación condicionan los procesos de producción de conocimientos. Focalizamos en los estudios que analizaron al campo como lugar de investigación y en cómo se articula con las prácticas de laboratorio. Si bien diversos trabajos analizaron las investigaciones en el campo en Argentina, poco problematizaron qué características específicas tiene las prácticas científicas de campo y en cómo permiten transformar prácticas sociales. A partir de tomar como fuentes primarias diversas publicaciones científicas, nuestro caso de estudio son las investigaciones neurocientíficas que utilizan electroencefalogramas (EGG) en aulas. Plantearemos que son los lugares híbridos, entre el campo y el laboratorio, los que permiten investigar prácticas sociales.

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Section: Metodologíaunclassified

Section: Conclusionesunclassified

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¿Cómo investigar una práctica social?

Sosiuk,

Mauro

2023

Cienc. docencia tecnol.

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A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications

Ali

Afridi

Soomro

et al. 2022

Wireless Pers Commun

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Electroencephalography (EEG) is a technique of Electrophysiology used in a wide variety of scientific studies and applications. Inadequately, many commercial devices that are available and used worldwide for EEG monitoring are expensive that costs up to thousands of dollars. Over the past few years, because of advancements in technology, different cost-effective EEG recording devices have been made. One such device is a non-invasive single electrode commercial EEG headset called MindWave 002 (MW2), created by NeuroSky Inc that cost less than 100 USD. This work contributes in four distinct ways, first, how mental states such as a focused and relaxed can be identified based on EEG signals recorded by inexpensive MW2 is demonstrated for accurate information extraction. Second, MW2 is considered because apart from cost, the user's comfort level is enhanced due to non-invasive operation, low power consumption, portable small size, and a minimal number of detecting locations of MW2. Third, 2 situations were created to stimulate focus and relaxation states. Prior to analysis, the acquired brain signals were pre-processed to discard artefacts and noise, and band-pass filtering was performed for delta, theta, alpha, beta, and gamma wave extraction. Fourth, analysis of the shapes and nature of extracted waves was performed with power spectral density (PSD), mean amplitude values, and other parameters in LabVIEW. Finally, with comprehensive experiments, the mean values of the focused and relaxed signal EEG signals were found to be 30.23 µV and 15.330 µV respectively. Similarly, average PSD values showed an increase in theta wave value and a decrease in beta wave value related to the focus and relaxed state, respectively. We also analyzed the involuntary and intentional number of blinks recorded by the MW2 device. Our study can be used to check mental health wellness and could provide psychological treatment effects by training the mind to quickly enter a relaxed state and improve the person's ability to focus. In addition, this study can open new avenues for neurofeedback and brain control applications. Supplementary Information The online version contains supplementary material available at 10.1007/s11277-022-09731-w.

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Application of Electroencephalography Sensors and Artificial Intelligence in Automated Language Teaching

Chen,

Wang,

Yan

et al. 2024

Sensors

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This study developed an automated language learning teaching assessment system based on electroencephalography (EEG) and differential language large models (LLMs), aimed at enhancing language instruction effectiveness by monitoring learners’ cognitive states in real time and personalizing teaching content accordingly. Through detailed experimental design, the paper validated the system’s application in various teaching tasks. The results indicate that the system exhibited high precision, recall, and accuracy in teaching effectiveness tests. Specifically, the method integrating differential LLMs with the EEG fusion module achieved a precision of 0.96, recall of 0.95, accuracy of 0.96, and an F1-score of 0.95, outperforming other automated teaching models. Additionally, ablation experiments further confirmed the critical role of the EEG fusion module in enhancing teaching quality and accuracy, providing valuable data support and theoretical basis for future improvements in teaching methods and system design.

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Electroencephalogram (EEG) Signals for Modern Educational Research

Cited by 3 publications

References 0 publications

¿Cómo investigar una práctica social?

¿Cómo investigar una práctica social?

A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications

Application of Electroencephalography Sensors and Artificial Intelligence in Automated Language Teaching

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