Proceedings of the International Conference on Educational Management and Technology (ICEMT 2022)

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Conceptual Design of Digital Anxiety Detection-Tools for Students School Anxiety

Authors
Nur Hidayah1, *, M. Ramli1, Kartika Candra Kirana1, Husni Hanafi1, Mila Yunita1, Rofiqoh Rofiqoh1
1Universitas Negeri Malang, Malang, 65145, East Java, Indonesia
*Corresponding author. Email: nur.hidayah.fip@um.ac.id
Corresponding Author
Nur Hidayah
Available Online 13 February 2023.
DOI
10.2991/978-2-494069-95-4_39How to use a DOI?
Keywords
anxiety Detection; School Anxiety; Physiological Symptoms
Abstract

This study aimed to develop a conceptual design of DAD (Digital Anxiety Detection-tools) for students. DAD is an alternative tool to identify student anxiety more specifically and in real-time based on physical symptoms and the identification of students’ psychological conditions. This research model uses the modified ADDIE design with the Analyze, Design and Development stages. The results of this study identified physiological symptoms of anxiety experienced by students in the form of increased heart rate, shortness of breath, cold sweat, and several other symptoms. The product prototype theoretically focuses on measuring the physiological symptoms of student anxiety. The product prototype is a flowchart design, a tool to measure the condition of students’ anxiety symptoms in real-time, and can compare them to the baseline of students’ situations. The digital application system is based on Convolutional Neural Network (CNN), integrated with a digital sphygmomanometer and Passive infrared. The results of this research are still in the form of product design, so it requires further development steps in the development, implementation, and evaluation process.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Educational Management and Technology (ICEMT 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
13 February 2023
ISBN
10.2991/978-2-494069-95-4_39
ISSN
2352-5398
DOI
10.2991/978-2-494069-95-4_39How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nur Hidayah
AU  - M. Ramli
AU  - Kartika Candra Kirana
AU  - Husni Hanafi
AU  - Mila Yunita
AU  - Rofiqoh Rofiqoh
PY  - 2023
DA  - 2023/02/13
TI  - Conceptual Design of Digital Anxiety Detection-Tools for Students School Anxiety
BT  - Proceedings of the International Conference on Educational Management and Technology (ICEMT 2022)
PB  - Atlantis Press
SP  - 335
EP  - 341
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-95-4_39
DO  - 10.2991/978-2-494069-95-4_39
ID  - Hidayah2023
ER  -