Research on the Advantages of Digital Sensor Equipment in Language Audio‐Visual and Oral Teaching

Wu, Yufei; Wang, Dandan; Zhu, Yiming

doi:10.1155/2021/3006397

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…It was once again proved that WBT offers pedagogical opportunities [5,74,82,84,86,87] and supports learning activities through the integration of AR, AI, and IoT devices [52,63,64]. Finally, other NPMs found in the studies are temperature [54], motion [58,59,69], EDA [72], GSR [75], EOG, EMG [57], and voice [61].…”

Section: Discussionmentioning

confidence: 72%

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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Section: Discussionmentioning

confidence: 72%

Wearable Biosensor Technology in Education: A Systematic Review

Hernández-Mustieles,

Lima-Carmona,

Pacheco-Ramírez

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…It was once again proved that WBT offers pedagogical opportunities [ 5 , 72 , 80 , 82 , 84 , 85 ] and supports learning activities through the integration of AR, AI, and IoT devices [ 20 , 52 , 62 ]. Finally, other NPMs found in the studies are temperature [ 54 ], motion [ 58 , 59 , 67 ], EDA [ 70 ], GSR [ 73 ], electrooculography (EOG), EMG [ 57 ], and voice [ 61 ].…”

Section: Discussionmentioning

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

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.

show abstract

Research on the Advantages of Digital Sensor Equipment in Language Audio‐Visual and Oral Teaching

Cited by 2 publications

References 21 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

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