Identification of heart rate change during the teaching process.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
04 10 2023
04 10 2023
Historique:
received:
04
05
2023
accepted:
28
09
2023
medline:
6
10
2023
pubmed:
5
10
2023
entrez:
4
10
2023
Statut:
epublish
Résumé
Internet of Things (IoT) technology can be used in many areas of everyday life. The objective of this paper is to obtain physiological functions in a non-invasive manner using commonly available IoT devices. The aim of the research is to point out the possibility of using physiological functions as an identifier of changes in students' level of arousal during the teaching process. The motivation of the work is to find a correlation between the change in heart rate, the student's level of arousal and the student's partial and final learning results. The research was focused on the collection of physiological data, namely heart rate and the evaluation of these data in the context of identification of arousal during individual teaching activities of the teaching process. The experiment was carried out during the COVID-19 pandemic via distance learning. During the teaching process, individual activities were recorded in time and HR was assigned to them. The benefit of the research is the proposed methodology of the system, which can identify changes in students' arousal in order to increase the efficiency of the teaching process. Based on the results of the designed system, they could also alert teachers who should be able to modify their teaching style in specific situations so that it is suitable for students and provides a basis for better teaching and understanding of educational materials. The presented methodology will be able to guarantee an increase in the success of the teaching process itself in terms of students' understanding of the teaching materials.
Identifiants
pubmed: 37794176
doi: 10.1038/s41598-023-43763-x
pii: 10.1038/s41598-023-43763-x
pmc: PMC10550993
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
16674Informations de copyright
© 2023. Springer Nature Limited.
Références
Comput Methods Programs Biomed. 2020 Sep;193:105482
pubmed: 32408236
Comput Methods Programs Biomed. 2021 Feb;199:105898
pubmed: 33360529
Int J Environ Res Public Health. 2016 Sep 13;13(9):
pubmed: 27649216
Sensors (Basel). 2019 May 09;19(9):
pubmed: 31075816
J Environ Psychol. 2020 Dec;72:101518
pubmed: 36540650
Psychon Bull Rev. 2016 Aug;23(4):1280-7
pubmed: 26585116
Circulation. 2019 Jul 30;140(5):350-352
pubmed: 31356135
Front Psychol. 2020 Jul 15;11:1111
pubmed: 32760305
Front Hum Neurosci. 2018 Nov 12;12:457
pubmed: 30483086
Int J Biosens Bioelectron. 2018;4(4):195-202
pubmed: 30906922
Biosensors (Basel). 2022 Jul 11;12(7):
pubmed: 35884312
Front Psychol. 2017 Aug 24;8:1454
pubmed: 28883804
Perspect Med Educ. 2019 Aug;8(4):209-215
pubmed: 31338789
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:186-189
pubmed: 28268310
Comput Biol Med. 2021 Feb;129:104163
pubmed: 33348217
J Biomed Inform. 2016 Feb;59:49-75
pubmed: 26621099
BMC Med Educ. 2023 Jan 28;23(1):72
pubmed: 36709288
Behav Res Ther. 2021 Jun;141:103859
pubmed: 33930610
BMC Med Inform Decis Mak. 2020 Jul 29;20(1):177
pubmed: 32727453
Int J Med Inform. 2020 May;137:104104
pubmed: 32146373