Supporting data for my thesis entitled "Developing 21st Century Skills through Esport Gaming Environment and Investigating the Transferable Effects in Near and Far Contexts."

This datasets folder is generated on 15 April 2024 by Yuchun, ZhongTitle of Dataset: Supporting data for my thesis entitled "Developing 21st Century Skills through Esport Gaming Environment and Investigating the Transferable Effects in Near and Far Contexts."This folder contains datasets of four interconnected studies. Two studies (Study 1 & Study 2) were already published. Two studies (Study 3 & Study 4) have been submitted to journals. The main folder includes the following four subfolders representing each of four studies. 1) The first file named Study 1 systematic review. The folder contains information of 66 articles reviewed. These articles can be accessed through database such as web of science.2) the second file named Study 2 qualitative study. The folder contains transcribed interview data. As this article has been published, the coding scheme and details can be accessed online. 3) The third file named Study 3 mixed methods for skills development. The folder includes datasets on knowledge test, questionnaire, external ratings, and focus group interviews transcript.4) The fourth file named Study 4 mixed methods for skills transfer. The folder includes data on questionnaire survey, external ratings, and interviews transcript.The datasets of each study were processed through following softwares. Study 1: Endnote Version: 20 Study 2: MACQDA Version: 2020Study 3: Name: Jamovi Version: 2.3.28Study 4: Name: Jamovi Version: 2.3.28; Name: Pycharm Community Edition Version: 2022.3.1

本数据集文件夹由余春于2024年4月15日创建。数据集标题为《通过电子竞技游戏环境培养21世纪技能及探讨近远距离情境下的迁移效应之研究》的支持数据。该文件夹内包含四个相互关联的研究数据集。其中两项研究（研究1与研究2）已发表，另外两项研究（研究3与研究4）已提交至期刊。主文件夹内包含以下四个子文件夹，分别代表四个研究：1）第一个文件名为“研究1系统评价”，文件夹内包含66篇已审查文章的信息，可通过如Web of Science等数据库访问。2）第二个文件名为“研究2定性研究”，文件夹内包含访谈数据转录。由于该文章已发表，编码方案和详细内容可在网上查阅。3）第三个文件名为“研究3技能发展混合方法”，文件夹内包括知识测试、问卷、外部评级和焦点小组访谈记录的数据集。4）第四个文件名为“研究4技能迁移混合方法”，文件夹内包含问卷调查、外部评级和访谈记录的数据。每个研究的数据集均通过以下软件进行处理：研究1：Endnote版本20；研究2：MACQDA版本2020；研究3：Jamovi版本2.3.28；研究4：Jamovi版本2.3.28；Pycharm社区版版本2022.3.1。