Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong

This study proposes a second digital divide measurement for university students in Guangdong, encompassing internet usage proficiency and internet-enabled learning levels. Drawing on information literacy theory, the dimensions of information awareness, acquisition, storage, retrieval, utilization, a...

Full description

Bibliographic Details
Published in:SHS Web of Conferences
Main Authors: Li Yumin, He Menglin, Zhang Zhen, Wang Erwei
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2024/07/shsconf_essc2024_04014.pdf
_version_ 1849918322699665408
author Li Yumin
He Menglin
Zhang Zhen
Wang Erwei
author_facet Li Yumin
He Menglin
Zhang Zhen
Wang Erwei
author_sort Li Yumin
collection DOAJ
container_title SHS Web of Conferences
description This study proposes a second digital divide measurement for university students in Guangdong, encompassing internet usage proficiency and internet-enabled learning levels. Drawing on information literacy theory, the dimensions of information awareness, acquisition, storage, retrieval, utilization, and ethical/security considerations are individually assessed. A total of 1038 valid responses were collected through a questionnaire survey, and data analysis was conducted using descriptive statistics and variance analysis. The internet usage and enabled learning levels of university students in Guangdong are found to be moderately above average. The second-level digital divide among university students in Guangdong is complex, resulting from the interactive effects of personal factors, growth environment, and university environment. Personal characteristics (gender, grade), growth environment (average living expenses, parental education, family location, growth location, family learning environment), and campus learning environment have a significant impact on both the level of internet usage and internet-enabled learning. Conversely, personal characteristics (disciplinary category), and school location exhibit no significant impact on internet-enabled learning levels.
format Article
id doaj-art-d918dc0abbba4c8fa3f40efe4e8d0853
institution Directory of Open Access Journals
issn 2261-2424
language English
publishDate 2024-01-01
publisher EDP Sciences
record_format Article
spelling doaj-art-d918dc0abbba4c8fa3f40efe4e8d08532025-08-20T00:57:05ZengEDP SciencesSHS Web of Conferences2261-24242024-01-011870401410.1051/shsconf/202418704014shsconf_essc2024_04014Measurement and Influencing Factors of the Second Digital Divide among University Students in GuangdongLi Yumin0He Menglin1Zhang Zhen2Wang Erwei3Beijing Institute of Technology, Zhuhai campus, ZhuhaiBeijing Institute of Technology, Zhuhai campus, ZhuhaiBeijing Institute of Technology, Zhuhai campus, ZhuhaiBeijing Institute of Technology, Zhuhai campus, ZhuhaiThis study proposes a second digital divide measurement for university students in Guangdong, encompassing internet usage proficiency and internet-enabled learning levels. Drawing on information literacy theory, the dimensions of information awareness, acquisition, storage, retrieval, utilization, and ethical/security considerations are individually assessed. A total of 1038 valid responses were collected through a questionnaire survey, and data analysis was conducted using descriptive statistics and variance analysis. The internet usage and enabled learning levels of university students in Guangdong are found to be moderately above average. The second-level digital divide among university students in Guangdong is complex, resulting from the interactive effects of personal factors, growth environment, and university environment. Personal characteristics (gender, grade), growth environment (average living expenses, parental education, family location, growth location, family learning environment), and campus learning environment have a significant impact on both the level of internet usage and internet-enabled learning. Conversely, personal characteristics (disciplinary category), and school location exhibit no significant impact on internet-enabled learning levels.https://www.shs-conferences.org/articles/shsconf/pdf/2024/07/shsconf_essc2024_04014.pdf
spellingShingle Li Yumin
He Menglin
Zhang Zhen
Wang Erwei
Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong
title Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong
title_full Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong
title_fullStr Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong
title_full_unstemmed Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong
title_short Measurement and Influencing Factors of the Second Digital Divide among University Students in Guangdong
title_sort measurement and influencing factors of the second digital divide among university students in guangdong
url https://www.shs-conferences.org/articles/shsconf/pdf/2024/07/shsconf_essc2024_04014.pdf
work_keys_str_mv AT liyumin measurementandinfluencingfactorsoftheseconddigitaldivideamonguniversitystudentsinguangdong
AT hemenglin measurementandinfluencingfactorsoftheseconddigitaldivideamonguniversitystudentsinguangdong
AT zhangzhen measurementandinfluencingfactorsoftheseconddigitaldivideamonguniversitystudentsinguangdong
AT wangerwei measurementandinfluencingfactorsoftheseconddigitaldivideamonguniversitystudentsinguangdong