Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

A SAAS-Based Solution to Improve the Emotion and Attention of Left-Behind and Workers’ Migrant Children

Authors
Yaping Shuai1, Yuzheng Wang2, Fei Luo2, *
1CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, China
2Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
*Corresponding author. Email: luof@psych.ac.cn
Corresponding Author
Fei Luo
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_9How to use a DOI?
Keywords
saas; mindfulness; workers’ migrant children; emotion; attention
Abstract

The mental health of left-behind and workers’ migrant children is attracting social attention. Although teacher-giving mindfulness courses have been evidenced to improve school children’s emotions and attention levels effectively, their implementation is facing challenges when teachers and funds lack is a common problem in the schools of left-behind and workers’ migrant children. This study states a solution of applying for a saas-based mindfulness course as an alternative. After defining the requirements for running mindfulness courses in the schools of left-behind and workers’ migrant children, Xioa E Tech, one of the biggest SAAS platforms in China, was selected. A 2 (group) x 2 (time) experiment was designed to explore whether saas-based mindfulness courses can replace trained mindfulness teachers. Ninety-two migrant school children participated in the study. All the students took pre-test and post-test of MAAS-C, POM, PANAS, and MQW. After a 6-week saas-based mindfulness practice, the mindfulness, inner peace, negative emotion regulation, and attention of the experimental group improved significantly. This result indicated that saas-based mindfulness courses could be an effective alternative for trained mindfulness teachers. It might solve the problems of children’s mental health and the resources limitation of left-behind and workers’ migrant children schools.

Copyright
© 2024 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 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
10.2991/978-94-6463-238-5_9
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_9How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Yaping Shuai
AU  - Yuzheng Wang
AU  - Fei Luo
PY  - 2023
DA  - 2023/09/26
TI  - A SAAS-Based Solution to Improve the Emotion and Attention of Left-Behind and Workers’ Migrant Children
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 58
EP  - 65
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_9
DO  - 10.2991/978-94-6463-238-5_9
ID  - Shuai2023
ER  -