Exploration of Youth's Digital Competencies: A Dataset in the Educational Context of Vietnam

被引:14
作者
Anh-Vinh Le [1 ]
Duc-Lan Do [1 ]
Duc-Quang Pham [1 ]
Phuong-Hanh Hoang [1 ]
Thu-Huong Duong [2 ]
Hoai-Nam Nguyen [3 ]
Thu-Trang Vuong [4 ]
Nguyen, Hong-Kong T. [5 ]
Manh-Toan Ho [6 ,7 ,8 ]
Viet-Phuong La [6 ,7 ]
Quan-Hoang Vuong [6 ,7 ]
机构
[1] Vietnam Natl Inst Educ Sci, Natl Ctr Sustainable Dev Gen Educ Qual, 101 Tran Hung Dao St, Hanoi 100000, Vietnam
[2] Vietnam Natl Inst Educ Sci, Res Div Educ Assessment, 101 Tran Hung Dao St, Hanoi 100000, Vietnam
[3] Minist Educ & Training, ICT Dept, 15 Hai Ba Trung St, Hanoi 100000, Vietnam
[4] Sci Po Paris, Campus Dijon, F-21000 Dijon, France
[5] Ritsumeikan Asia Pacific Univ, Grad Sch Asia Pacific Studies, Beppu, Oita 8748577, Japan
[6] Phenikaa Univ, Ctr Interdisciplinary Social Res, Hanoi 100803, Vietnam
[7] Phenikaa Univ, Fac Econ & Finance, Hanoi 100803, Vietnam
[8] Natl Econ Univ, Inst Publ Policy & Management, Dev Econ, 207 Giai Phong St, Hanoi 100000, Vietnam
关键词
information technology; ICT skills; digital citizenship; Bayesian statistics; Vietnam; ICT;
D O I
10.3390/data4020069
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The recent surge of the Fourth Industrial Revolution has set forth demands for a new generation of the labor force with a comprehensive set of skills to meet the standards of the global market. Despite widespread concerns about educational reforms and renovations to enhance the workforce capacity in terms of information and communication technology (ICT) skills, research into the digital proficiencies of students has been limited in Vietnam. This dataset contains 1061 observations on the digital competency level of 10th-grade students in 20 surveyed schools from five provinces in Vietnam. The investigation, joining frequentist and Bayesian analyses, aims to provide valuable insights into the current state of children's attitudes, behaviors, competency levels, and use of ICT within the Vietnamese educational context. The values of the dataset lie in its proposed scientific framework for replication in multiple regions and contexts as well as the feasibility of categorical regression techniques together with Bayesian statistics for hierarchical regression analysis.
引用
收藏
页数:37
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