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arXiv 2609.03936cs.CYcs.HC

让性别包容实践可操作:评估一项基于研究的计算教育工具包

Making Gender-Inclusive Practices Actionable: Evaluating a Research-Informed Computing Education Toolkit

  • Technological University Dublin(都柏林理工大学)
  • SETU Waterford(沃特福德科技大学)

机构由 AI 辅助整理,请以论文原文为准。

Alina Berry, Susan McKeever, Brenda Murphy, Sarah Jane Delany

AI总结:

该研究评估了基于研究的计算教育工具包TechMate,其可帮助教育工作者实施性别包容举措,18名爱尔兰高校教育者评估显示该工具实用性与可用性获较高认可,同时挖掘出相关结构性障碍及解决方案。

AI中文摘要:

计算领域持续存在的性别失衡仍是全球关注的问题,大学是解决这一问题的关键环节。尽管研究已确定了支持代表性不足学生群体的实践,但将这些证据转化为可操作的指导仍具挑战性。本文首先介绍了一种新型基于网络的工具包TechMate,旨在通过为计算教育工作者提供基于研究的实用指导,帮助其实施性别包容举措,填补上述空白。该工具包定义了25项以上从操作层面到战略层面的行动,并提供了案例研究和实施资源。其次,本研究报告了对TechMate的评估结果:通过真实任务收集教育工作者对其有用性和可用性的初步印象,并挖掘了关于高等计算教育中性别包容实践的结构性障碍的意外见解。来自爱尔兰8所大学的18名不同资历的计算教育工作者,使用9项基于研究的属性评估了该工具包:4项有用性指标(新颖性、相关性、可信度、可操作性)和5项可用性指标(有效性、美观性、导航性、术语恰当性、用户满意度)。数据采用混合方法分析:演绎编码、定量情感评分和归纳主题分析。教育工作者对TechMate的用户满意度评分很高,并称赞其新颖性和可信度,超过60%的参与者对所有属性均给出正面评价,表明可设计基于研究的工具以满足实际应用需求。主题分析还凸显了其他挑战,包括女学生的孤立状态、机构对变革的抵制以及女性榜样的稀缺,同时也提出了利用学生大使、营造支持性学习环境等拟议解决方案。

英文摘要:

The persistent gender imbalance in computing remains a global concern, and universities offer a key part of the pipeline to address it. Although research has identified practices that support under-represented student groups, translating this evidence into actionable guidance remains challenging. This paper first presents a novel web- based toolkit (TechMate) designed to address this gap by helping computing educators implement gender- inclusive initiatives through practical research-informed guidance. The toolkit defines over 25 actions, ranging from operational to strategic, and provides case studies and implementation resources. Second, this work reports on the evaluation of TechMate, capturing educators first impressions of its usefulness and usability through authentic tasks, and eliciting unanticipated insights about structural barriers to gender-inclusive practice in computing higher education. Eighteen computing educators of varying seniority from eight universities in Ireland assessed the toolkit using nine research-driven attributes: four usefulness measures (novelty, relevance, trustworthiness, actionability) and five usability measures (effectiveness, aesthetics, navigation, terminology, user satisfaction). Data was analysed using mixed methods: deductive coding, quantitative sentiment scoring, and inductive thematic analysis. Educators rated TechMate highly for user satisfaction and praised its novelty and trustworthiness, with over 60% of participants reporting positively on all attributes, suggesting that research -informed tools can be designed for real-world use. Thematic analysis highlighted other challenges, including women students isolation, institutional resistance to change, and the scarcity of women role models, while also surfacing proposed solutions such as leveraging student ambassadors and fostering supportive learning environments.

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