Group Work on the Digital Divide in Rural Elderly People

Takes the X Community of Ruijin City as an Example

DOI

10.2991/978-2-494069-31-2_43How to use a DOI?

Keywords

Rural Elderly; Digital Divide; Group Work; Social Learning Theory; Advantage Perspective Theory

Abstract

The development of the Internet has brought us great convenience, but the elderly have become the vulnerable groups in the digital age, and it is difficult for them to quickly integrate into the changing society. The results of the survey of the elderly in X village, Ruijin city show that the elderly in the village have difficulties in mobile phone operation, distinguishment of the true and false of network information, and understanding of mobile phone function. Therefore, it is particularly important to bridge the digital divide among the elderly through group work. In the process of intervention, six group activities were designed under the guidance of social learning theory and advantage perspective theory. The research results show that under the guidance of social learning theory and advantage perspective theory, through mutual observation and learning between group members, we achieved some results in bridging the digital gap among the elderly.

Copyright

© 2022 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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TY  - CONF
AU  - Xiaolan Zhong
PY  - 2022
DA  - 2022/12/29
TI  - Group Work on the Digital Divide in Rural Elderly People
BT  - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
PB  - Atlantis Press
SP  - 340
EP  - 346
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-31-2_43
DO  - 10.2991/978-2-494069-31-2_43
ID  - Zhong2022
ER  -