Suppr超能文献

Antecedents of adolescent students' ICT self-efficacy: The ICT dataset.

作者信息

Chen Xueliang, Hu Jie

机构信息

Department of Linguistics, School of International Studies, Zhejiang University, Hangzhou City 310058, Zhejiang Province, China.

出版信息

Data Brief. 2020 Oct 22;33:106437. doi: 10.1016/j.dib.2020.106437. eCollection 2020 Dec.

Abstract

Based on the Programme for International Student Assessment (PISA) 2015 dataset, the information and communication technology (ICT) dataset focuses specifically on ICT-related constructs in the context of educational technology. It includes a wide range of student-level variables collected from 30 Economic Co-operation and Development (OECD) countries, which pertain to students' motivational and behavioural characteristics in relation to their ICT self-efficacy. In total, it comprises 201, 652 students from 7708 schools. As technology has become an integral component of education, the ICT dataset can serve as a handy resource for studying ICT-related constructs. Besides, the ICT dataset holds advantages over the original PISA dataset for its intensive focus and easy readability. With this important resource, researchers can undertake their own research in the neighbouring fields of ICT, developing their own theories or validating existing theoretical frameworks and statements. The focus of this study is to identify the antecedents of adolescent students' ICT self-efficacy and illuminate potential mechanisms at work.

摘要

相似文献

1
Antecedents of adolescent students' ICT self-efficacy: The ICT dataset.
Data Brief. 2020 Oct 22;33:106437. doi: 10.1016/j.dib.2020.106437. eCollection 2020 Dec.
3
ICT literacy, resilience and online learning self-efficacy between Chinese rural and urban primary school students.
Front Psychol. 2022 Dec 12;13:1051803. doi: 10.3389/fpsyg.2022.1051803. eCollection 2022.
9
Regression Analysis of ICT Impact Factors on Early Adolescents' Reading Proficiency in Five High-Performing Countries.
Front Psychol. 2019 Jul 16;10:1646. doi: 10.3389/fpsyg.2019.01646. eCollection 2019.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验