Physiological Flow-Clutch States Identification within the EduFlow Scale in Educational STEAM Real-Word Scenarios

This paper focuses on the physiological identification of Clutch-Flow states in real-world educational scenarios. By using the Eduflow scale and Polar H10 wearable devices, we develop two STEAM face-to-face project-base teaching-learning experiences with students in 5th and 6th grade of primary education. Based on Heart Rate Variation (HRV) recorded for 18 one-hour sessions and their comparison to responses obtained in 181 EduFlow questionaries filled in by students after each session, a Kubios-based analysis was performed, obtaining a total of 127 reports about HVR. The main findings of this study reveal multiple and meaningful correlations between physiological data and the flow phenomenology in group of students; and a proposal to identify clutch states based on the EduFlow scale results.

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Publication Details

Journal
International Journal of Technology in Education
Published
2025-05-15
DOI
https://doi.org/10.46328/ijte.1125
Citations
1
Primary Topic
Ergonomics and Human Factors
Type
article
Field-Weighted Citation Impact
0.67
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article

Physiological Flow-Clutch States Identification within the EduFlow Scale in Educational STEAM Real-Word Scenarios

Natalia Padilla-Zea, Jean Heutte, Daniel Burgos, David Antonio Rosas
1 citations
International Journal of Technology in Education
Ergonomics and Human Factors
0.67
article

Physiological Flow-Clutch States Identification within the EduFlow Scale in Educational STEAM Real-Word Scenarios

Natalia Padilla-Zea, Jean Heutte, Daniel Burgos, David Antonio Rosas
article en
1 citations

Abstract

This paper focuses on the physiological identification of Clutch-Flow states in real-world educational scenarios. By using the Eduflow scale and Polar H10 wearable devices, we develop two STEAM face-to-face project-base teaching-learning experiences with students in 5th and 6th grade of primary education. Based on Heart Rate Variation (HRV) recorded for 18 one-hour sessions and their comparison to responses obtained in 181 EduFlow questionaries filled in by students after each session, a Kubios-based analysis was performed, obtaining a total of 127 reports about HVR. The main findings of this study reveal multiple and meaningful correlations between physiological data and the flow phenomenology in group of students; and a proposal to identify clutch states based on the EduFlow scale results.

International Journal of Technology in EducationVol. 8(3)
Université de Lille (FR), Universidad de Sonora (MX), Universidad Internacional De La Rioja (ES)
Openalex Percentile: Top 31%
Ergonomics and Human Factors
0.67
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