The Role of Online Training Events in the Development of Quantitative Data Skills in Students from Social Sciences, Humanities and Arts Disciplines, 2022

The main aim of this work was to explore how online training events, outside of traditional academic courses, can support Social Science, Arts and Humanities (SHAPE) students to develop data skills.

There is international demand for data skills in the workplace, and Governments are increasingly concerned with how quantitative data skills are acquired for 21st Century jobs. If SHAPE students are trained in data skills they can enter into statistical professions and data careers. Online learning has risen significantly in the last decade, and even more so since the COVID-19 pandemic. Within the field of social research methods, online learning has grown rapidly and there is an emerging literature on the pedagogy. Data skills are vital for research and there is acknowledgement that online learning can play a role in data skills training.

The data collection contains anonymised transcripts from 8 qualitative semi-structured individual interviews with SHAPE students who attended UK Data Service online training events. The interviews explored why the student had attended the UKDS event, what they learnt from it, how it has supported the development of data skills and how this will help their career. Ten students participated in the original study – we have consent from eight of ten the students to share their anonymised data in this repository.

本研究的核心目标为探究：在传统学术课程之外开展的线上培训项目，将如何助力社会科学、艺术与人文（Social Science, Arts and Humanities，简称SHAPE）专业学生提升数据技能。

当前全球职场对数据技能存在广泛需求，各国政府也愈发重视如何让劳动者在21世纪的职场中掌握量化数据技能。若SHAPE专业学生接受系统的数据技能培训，则可投身统计相关职业与数据领域岗位。近十年来，线上学习规模显著增长，自新冠疫情（COVID-19）暴发以来更是突飞猛进。在社会研究方法领域，线上学习的发展同样迅猛，相关教学法研究文献也正不断涌现。数据技能对学术研究至关重要，学界也已认可线上学习可在数据技能培训中发挥积极作用。

本数据集包含8份针对参与过英国数据服务（UK Data Service）线上培训项目的SHAPE专业学生的定性半结构化个人访谈匿名转录文本。本次访谈围绕多个维度展开：学生参与英国数据服务（UKDS）培训项目的动因、从项目中习得的核心内容、该项目对其数据技能提升的助力作用，以及这些技能将如何助力其职业发展。初始研究共招募10名学生参与，其中8名学生已同意将其匿名数据共享至本数据集存储库。