{"title":"Teachers' perspectives on the current state of the development of Vietnamese junior secondary school students’ digital competence","authors":"Thi Phuong Dang, Thi Thao Bui, Dieu Quynh Bui, Quoc Anh Vuong, Thu Linh Kieu","doi":"10.1016/j.dib.2025.111507","DOIUrl":null,"url":null,"abstract":"<div><div>This dataset provides detailed information about lower secondary school teachers' perceptions and assessments of the current state of digital competency development for lower secondary school students in Vietnam. The dataset encompasses five main aspects from teachers' perspectives: (a) General teacher information, including province name, region, gender, age, years of service and educational qualifications, subjects currently teaching at school; (b) Teachers' understanding of digital competency and their assessment of the role of digital competency for students; (c) Conditions necessary to implement educational activities aimed at developing students' digital competency; (d) Current activities of teachers and schools (regarding the use of equipment, IT infrastructure, teaching methods, assessment activities); (e) Effectiveness of activities (regarding teaching methods, testing, assessment) aimed at developing digital competency for students. Data collection was conducted online via Google Forms from March 1-20, 2024, with the participation of 7415 lower secondary school teachers from thirteen provinces in Vietnam. This dataset aims to provide valuable detailed information for policymakers and educational administrators about the current context in schools regarding educational activities aimed at developing digital competency for lower secondary school students. Additionally, this dataset serves as a basis for proposing solutions to develop students' digital competency, while helping lower secondary schools have direction in strengthening support for teachers to participate in training and professional development aimed at developing digital competency for learners. Educational administrators and researchers can use this data to better understand pedagogical requirements such as teacher training and policy development related to students' digital competency development. Furthermore, this dataset can help educational technology developers understand the needs, readiness, and use of equipment and IT infrastructure in teaching to develop students' digital competency across subjects. Overall, this dataset is valuable in providing an overview from teachers' perspectives on the current state of teaching aimed at developing digital competency for students in lower secondary schools for school leaders and educational policymakers in developing strategies, policies and guidelines appropriate to reality in training future human resources to achieve certain proficiency in digital skills.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111507"},"PeriodicalIF":1.0000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925002392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This dataset provides detailed information about lower secondary school teachers' perceptions and assessments of the current state of digital competency development for lower secondary school students in Vietnam. The dataset encompasses five main aspects from teachers' perspectives: (a) General teacher information, including province name, region, gender, age, years of service and educational qualifications, subjects currently teaching at school; (b) Teachers' understanding of digital competency and their assessment of the role of digital competency for students; (c) Conditions necessary to implement educational activities aimed at developing students' digital competency; (d) Current activities of teachers and schools (regarding the use of equipment, IT infrastructure, teaching methods, assessment activities); (e) Effectiveness of activities (regarding teaching methods, testing, assessment) aimed at developing digital competency for students. Data collection was conducted online via Google Forms from March 1-20, 2024, with the participation of 7415 lower secondary school teachers from thirteen provinces in Vietnam. This dataset aims to provide valuable detailed information for policymakers and educational administrators about the current context in schools regarding educational activities aimed at developing digital competency for lower secondary school students. Additionally, this dataset serves as a basis for proposing solutions to develop students' digital competency, while helping lower secondary schools have direction in strengthening support for teachers to participate in training and professional development aimed at developing digital competency for learners. Educational administrators and researchers can use this data to better understand pedagogical requirements such as teacher training and policy development related to students' digital competency development. Furthermore, this dataset can help educational technology developers understand the needs, readiness, and use of equipment and IT infrastructure in teaching to develop students' digital competency across subjects. Overall, this dataset is valuable in providing an overview from teachers' perspectives on the current state of teaching aimed at developing digital competency for students in lower secondary schools for school leaders and educational policymakers in developing strategies, policies and guidelines appropriate to reality in training future human resources to achieve certain proficiency in digital skills.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.