Development of a Computer-Aided Education System Inspired by Face-to-Face Learning by Incorporating EEG-Based Neurofeedback Into Online Video Lectures

Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan

doi:10.1109/tlt.2022.3200394

Cited by 7 publications

(6 citation statements)

References 50 publications

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“…Another metric that has already been used in real-world applications, but is still being developed, is the B2B synchrony measured through EEG [ 36 , 98 ]. Software advancements have also been implemented to enable adaptive learning to, for example, provide video feedback to increase engagement upon the detection of low attention via EEG [ 99 ].…”

Section: Resultsmentioning

confidence: 99%

“…In this context, neurofeedback represents a growing opportunity to monitor mental states. For this reason, various universities tested adaptive neuro-learning systems using a BCI for online education, showing an enhanced learning performance (average test scores of 83.83 out of 100 for the experimental group compared to 56.67 for the control group) [ 99 ]. Considering that changes in EEG alpha asymmetry have been observed in the prefrontal cortex depending on the approach or avoidance of motivational systems using positive or negative effects in students, this has demonstrated how positive traits lead to left hemispheric activation, influencing the adaptive response of brain processes and manifesting in an improved academic performance [ 106 ].…”

Section: Resultsmentioning

confidence: 99%

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Wearable Biosensor Technology in Education: A Systematic Review

Hernández-Mustieles,

Lima-Carmona,

Pacheco-Ramírez

et al. 2024

Sensors

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Wearable Biosensor Technology (WBT) has emerged as a transformative tool in the educational system over the past decade. This systematic review encompasses a comprehensive analysis of WBT utilization in educational settings over a 10-year span (2012–2022), highlighting the evolution of this field to address challenges in education by integrating technology to solve specific educational challenges, such as enhancing student engagement, monitoring stress and cognitive load, improving learning experiences, and providing real-time feedback for both students and educators. By exploring these aspects, this review sheds light on the potential implications of WBT on the future of learning. A rigorous and systematic search of major academic databases, including Google Scholar and Scopus, was conducted in accordance with the PRISMA guidelines. Relevant studies were selected based on predefined inclusion and exclusion criteria. The articles selected were assessed for methodological quality and bias using established tools. The process of data extraction and synthesis followed a structured framework. Key findings include the shift from theoretical exploration to practical implementation, with EEG being the predominant measurement, aiming to explore mental states, physiological constructs, and teaching effectiveness. Wearable biosensors are significantly impacting the educational field, serving as an important resource for educators and a tool for students. Their application has the potential to transform and optimize academic practices through sensors that capture biometric data, enabling the implementation of metrics and models to understand the development and performance of students and professors in an academic environment, as well as to gain insights into the learning process.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Wearable Biosensor Technology in Education: A Systematic Review

Hernández-Mustieles,

Lima-Carmona,

Pacheco-Ramírez

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Another metric that has already been used in real-world applications, but is still being developed, is B2B synchrony measured through EEG [101][102][103]. Software advancements have also been implemented to enable adaptive learning to, for example, provide video feedback to increase engagement upon the detection of low attention by EEG [104].…”

Section: Evolution Of Wbt In Educationmentioning

confidence: 99%

“…In this context, neurofeedback represents a growing opportunity to monitor mental states. For this reason, various universities tested an Adaptive Neuro-Learning System using a BCI for online education, showing an enhanced learning performance (average test scores out of 100 of 83.83 on the experimental group compared to 56.67 on the control group) [104]. Considering that changes in EEG alpha asymmetry have been observed in the prefrontal cortex, depending on the approach or avoidance of motivational systems using positive or negative affect in students, it has demonstrated how positive traits lead to left hemispheric activation, influencing the adaptive response of brain processes and manifesting in academic performance [111].…”

Section: Solving Educational Problems With Wbtsmentioning

confidence: 99%

Wearable Biosensor Technology in Education: A Systematic Review

Hernández-Mustieles,

Lima-Carmona,

Pacheco-Ramírez

et al. 2024

Preprint

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Wearable Biosensor Technology (WBT) has emerged as a transformative tool in the educational system over the past decade. This systematic review encompasses a comprehensive analysis of WBT utilization in educational settings over a 10-year span (2012-2022), highlighting both the evolution of this field and its integration to address challenges in education by integrating technology to solve specific educational challenges, such as enhancing student engagement, monitoring stress and cognitive load, improving learning experiences, and providing real-time feedback for both students and educators. By exploring these aspects, the review sheds light on the potential implications of WBT for the future of learning. A rigorous and systematic search of major academic databases, including Google Scholar and Scopus, was conducted in accordance with PRISMA guidelines. Relevant studies were selected based on predefined inclusion and exclusion criteria. The articles selected were assessed for methodological quality and bias using established tools. The process of data extraction and synthesis followed a structured framework. Key findings include the shift from theoretical exploration to practical implementation with the EEG being the predominant measurement, aiming to explore mental states, physiological constructs, and teaching effectiveness. Wearable biosensors are significantly impacting the educational field, serving as an important resource for educators and a tool for students. Their application has the potential to transform and optimize academic practices through sensors that capture biometric data, enabling the implementation of metrics and models to understand the development and performance of students and professors in an academic environment, as well as to gain insights into the learning process.

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“…In contrast, EEG monitors the electrical activity of the brain by recording waves that provide information about a person's mental state [7,11,[15][16][17]. Darvishi et al [6] classified EEG as a moderately intrusive method because it can be used in two ways: by placing electrodes on the scalp [2,15,16] or using a headband, which has already been used in face-to-face training [2,4,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Use of Integrated Multichannel Records in Learning Studies in Higher Education: A Systematic Review of the Last 10 Years

González-Díez,

Varela,

Sáiz-Manzanares

2024

Computers

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Neurophysiological measures have been used in the field of education to improve our knowledge about the cognitive processes underlying learning. Furthermore, the combined use of different neuropsychological measures has deepened our understanding of these processes. The main objective of this systematic review is to provide a comprehensive picture of the use of integrated multichannel records in higher education. The bibliographic sources for the review were Web of Science, PsycINFO, Scopus, and Psicodoc databases. After a screening process by two independent reviewers, 10 articles were included according to prespecified inclusion criteria. In general, integrated recording of eye tracking and electroencephalograms were the most commonly used metrics, followed by integrated recording of eye tracking and electrodermal activity. Cognitive load was the most widely investigated learning-related cognitive process using integrated multichannel records. To date, most research has focused only on one neurophysiological measure. Furthermore, to our knowledge, no study has systematically investigated the use of integrated multichannel records in higher education. This systematic review provides a comprehensive picture of the current use of integrated multichannel records in higher education. Its findings may help design innovative educational programs, particularly in the online context. The findings provide a basis for future research and decision making regarding the use of integrated multichannel records in higher education.

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Development of a Computer-Aided Education System Inspired by Face-to-Face Learning by Incorporating EEG-Based Neurofeedback Into Online Video Lectures

Cited by 7 publications

References 50 publications

Wearable Biosensor Technology in Education: A Systematic Review

Wearable Biosensor Technology in Education: A Systematic Review

Wearable Biosensor Technology in Education: A Systematic Review

The Use of Integrated Multichannel Records in Learning Studies in Higher Education: A Systematic Review of the Last 10 Years

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