Disrupting Learning of Statistics

Lucia-Marie Ganendran
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Abstract

Saudi Arabia, with its deeply conservative yet rapidly changing society, has adopted an ambitious blueprint for the future in Vision 2030. One of its goals is to increase women's participation in the workforce from 22% to 30%. This case study focused on Saudi female undergraduates undertaking an introductory statistics course. With an emphasis on disruption and smart learning, the author created interventions and tracked changes in attitudes and perceptions of students towards statistics from the beginning to the end of the course. Reusable online resources in the form of a series of content and problem-solving videos were introduced as the semester progressed. At the same time, an appreciative inquiry approach was used to foster a positive change environment. An online forum was created to encourage student discussion and feedback throughout the semester, and anonymous course evaluations were conducted at the end of course. Qualitative and quantitative results are presented here.
扰乱统计学学习
沙特阿拉伯是一个极度保守而又瞬息万变的社会,它在《2030年愿景》中为未来制定了雄心勃勃的蓝图。其目标之一是将女性的劳动力参与率从22%提高到30%。本案例研究的重点是沙特阿拉伯的女本科生参加统计学入门课程。为了强调颠覆性和智能学习,作者创建了干预措施,并从课程开始到结束跟踪学生对统计学的态度和看法的变化。随着学期的进展,以一系列内容和解决问题的视频的形式引入了可重复使用的在线资源。同时,一种欣赏式的询问方法被用来培养一个积极的变化环境。创建了一个在线论坛,鼓励学生在整个学期进行讨论和反馈,并在课程结束时进行匿名课程评估。本文给出了定性和定量结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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