Investigation of Physiological Signals as Indicators of Engagement Across Different Teaching Strategies

This study investigates the impact of various teaching strategies on second language learners' physiological response and engagement state. the research explores physiological response through heart rate variability (HRV) signals and engagement detection. Seven adult participants were involved in three distinct teaching strategies (video explanations, quizzes, and AI interactions), while HRV data measured using Photoplethysmography (PPG) and engagement levels condition measured using image-based techniques. Results indicate that engagement correlates with HRV features such as RMSSD, SDNN, and pNN50, with higher HRV linked to not engagements result. Although ANOVA analysis showed no statistically significant differences across strategies, Moderate effect sizes indicate the presence of subtle physiological responses. These findings highlight the potential of physiological indicators in optimizing adaptive teaching methodologies for second language acquisition. Future work should extend the teaching variation and participants.

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Publication Details

Journal
International Symposium on Affective Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.5057/isase.2025-c000029
Primary Topic
Neuroscience, Education and Cognitive Function
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigation of Physiological Signals as Indicators of Engagement Across Different Teaching Strategies

Peeraya Sripian, Fahrur ASLAMI
International Symposium on Affective Science and Engineering
Neuroscience, Education and Cognitive Function
article

Investigation of Physiological Signals as Indicators of Engagement Across Different Teaching Strategies

Peeraya Sripian, Fahrur ASLAMI
article en

Abstract

This study investigates the impact of various teaching strategies on second language learners' physiological response and engagement state. the research explores physiological response through heart rate variability (HRV) signals and engagement detection. Seven adult participants were involved in three distinct teaching strategies (video explanations, quizzes, and AI interactions), while HRV data measured using Photoplethysmography (PPG) and engagement levels condition measured using image-based techniques. Results indicate that engagement correlates with HRV features such as RMSSD, SDNN, and pNN50, with higher HRV linked to not engagements result. Although ANOVA analysis showed no statistically significant differences across strategies, Moderate effect sizes indicate the presence of subtle physiological responses. These findings highlight the potential of physiological indicators in optimizing adaptive teaching methodologies for second language acquisition. Future work should extend the teaching variation and participants.

International Symposium on Affective Science and EngineeringVol. ISASE2025(0)
Shibaura Institute of Technology (JP)
Openalex Percentile: Top 89%
Neuroscience, Education and Cognitive Function
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Investigation of Physiological Signals as Indicators of Engagement Across Different Teaching Strategies — Peeraya Sripian, Fahrur ASLAMI · International Symposium on Affective Science and Engineering (2025) | TGRS Research Map | TGRS