Measuring Students’ Stress with Mood Sensors: First Findings

Autor:	Ashok Kumar Veerasamy, Henri Kajasilta, Erno Lokkila, Mikko-Jussi Laakso, Mikko-Ville Apiola
Rok vydání:	2019
Předmět:	Ring device Computer science 05 social sciences Applied psychology 050301 education 050109 social psychology Academic achievement Confidence interval Correlation Mood Stress (linguistics) Field research 0501 psychology and cognitive sciences Digital learning 0503 education
Zdroj:	Lecture Notes in Computer Science ISBN: 9783030357573 ICWL
Popis:	Emotions and stress have considerable impact to wellbeing, growth and academic achievement. However, while devices with signal accuracy that is valid for clinical field research have become available, there is still a significant gap in knowledge about the relevance of such devices for digital learning. In this pilot study, a group of 17 university students of computing wore a moodmetrics smart ring device for one week. In addition, students kept short diaries about their study-related activities. Results from statistical analysis show a strong correlation between non-study and study-related stress level averages. Even when comparing the daily stress values, the correlation was strong and significant within the 95% confidence level. A total of 53 non-study and study average pairs were observed in the data. Our results reveal that stress of these students seemed not to vary between short-term study-events but it was found to be a more comprehensive issue. In the future, larger samples and more data are needed for more reliable research on individual study activities.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3a44c5ac5bf9359e11443f26d5b36295 https://doi.org/10.1007/978-3-030-35758-0_9 Zobrazit plný text záznamu