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...
| Published in: | SHS Web of Conferences |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| 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 |
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