Interactive Statistics: can we use experience from a large diverse student cohort to provide professional development for a wider population?

R. Hilliam, Carol Calvert
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Abstract

Statistics pervades everyone’s lives, whether it is through media coverage, reading reports, weighing up internal risks or evaluating decisions. Most managers are swamped by endless targets, dashboards and spreadsheets, but few organisations have enough employees with statistical skills to support the requirement for evidence based decision making. The need to equip today’s workforce to deal with the increased amount of data is imperative. The shortage of mathematics and statistics teachers is also likely to increase as the Government aims by 2020 to provide all post 16 students with continued mathematical education until the age of 18. At The Open University we have devised a highly successful first level statistics module which is simultaneously studied by students across a range of different disciplines, many of whom encounter statistics at some point in their qualification. This has been achieved by using topics which are of interest to everyone rather than being discipline specific. The module has produced some impressive results particularly when analysing the progress of different cohorts of students, not just from varying disciplines, but also across a broad spectrum of students with differing backgrounds. It is thought that by adapting these techniques it is possible to produce high quality statistics provision to be widely used as professional career development for employees. Keywords:  Statistics; Interactive; Career and Professional Development
互动统计:我们能否利用大量不同学生群体的经验,为更广泛的人群提供专业发展?
无论是通过媒体报道、阅读报告、衡量内部风险还是评估决策,统计数据无处不在。大多数管理者都被没完没了的目标、仪表板和电子表格淹没了,但很少有组织拥有足够多的具备统计技能的员工来支持基于证据的决策要求。需要装备今天的劳动力来处理不断增加的数据量是势在必行的。由于政府的目标是到2020年为所有16岁以上的学生提供持续的数学教育,数学和统计教师的短缺也可能会增加,直到18岁。在开放大学,我们设计了一个非常成功的一级统计模块,由不同学科的学生同时学习,其中许多人在他们的资格认证中遇到了统计。这是通过使用每个人都感兴趣的主题而不是特定学科来实现的。该模块产生了一些令人印象深刻的结果,特别是在分析不同学生群体的进步时,不仅来自不同学科,而且来自不同背景的广泛学生。人们认为,通过采用这些技术,有可能产生高质量的统计数据,广泛用于雇员的专业职业发展。关键词:统计数据;互动;职业和专业发展
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