Investigation on the effectiveness of class evaluation method using heart rate, respiration rate and stress values

In recent years, average academic achievement around the world has been declining, and class evaluation has become increasingly important for improving the quality of teaching. However, current class evaluation methods rely on student questionnaires, and it is difficult to accurately reflect the actual effectiveness of classes because individual feelings and differences in interpretation affect the results. Existing study has proposed a method to evaluate students’ concentration state by measuring their heart rate during class. However, heart rate alone is not sufficient to measure interest, as concentration in class alone does not capture the level of understanding or willingness to study independently. Therefore, in this study, we measured heart rate, respiration rate and stress values during class using a smartwatch and investigated the relationship between these vital data and class content and format. As a result of the verification experiment, we confirmed that stress values are closely.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.263
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation on the effectiveness of class evaluation method using heart rate, respiration rate and stress values

Yukio Kato, Masaya NAKAHARA
Procedia Computer Science
Heart Rate Variability and Autonomic Control
article

Investigation on the effectiveness of class evaluation method using heart rate, respiration rate and stress values

Yukio Kato, Masaya NAKAHARA
article en

Abstract

In recent years, average academic achievement around the world has been declining, and class evaluation has become increasingly important for improving the quality of teaching. However, current class evaluation methods rely on student questionnaires, and it is difficult to accurately reflect the actual effectiveness of classes because individual feelings and differences in interpretation affect the results. Existing study has proposed a method to evaluate students’ concentration state by measuring their heart rate during class. However, heart rate alone is not sufficient to measure interest, as concentration in class alone does not capture the level of understanding or willingness to study independently. Therefore, in this study, we measured heart rate, respiration rate and stress values during class using a smartwatch and investigated the relationship between these vital data and class content and format. As a result of the verification experiment, we confirmed that stress values are closely.

Procedia Computer ScienceVol. 270
Osaka Electro-Communication University (JP)
Openalex Percentile: Top 50%
Heart Rate Variability and Autonomic Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigation on the effectiveness of class evaluation method using heart rate, respiration rate and stress values — Yukio Kato, Masaya NAKAHARA · Procedia Computer Science (2025) | TGRS Research Map | TGRS