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Industry-based, transdisciplinary, complex problems as realistic settings for applying the M in STEM

机译:基于行业的,跨学科,复杂问题作为应用m在茎中的现实设置

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In this paper, we consider the perceived effectiveness of using industry-based transdisciplinary, complex problems as a vehicle for final year undergraduate mathematics students to apply their knowledge and skills in realistic settings, preparing them for the world of work. The discussion centres on a recently designed, implemented and evaluated model for a capstone subject incorporating a work integrated learning project in a Bachelor of Mathematics degree. To provide background for the discussion, we present the motivation for introducing such learning activities into the programme as well as the design of the model itself. We also report on the outcomes of implementation of the Work Integrated Learning experiences, discussing participant perspectives and describing lessons learnt over the two years. We conclude with a set of identified characteristics of capstone experiences in mathematics, and with a call to re-conceptualize the ways design teams collaborate to support academics.
机译:在本文中,我们考虑使用基于行业的跨学科,复杂问题作为最后一年本科数学学生的历史效果,以应用他们的知识和技能,为现实的环境制定,为工作世界准备。 讨论中心关于最近为数学学士学位的Capstone主题进行了最近设计,实施和评估的模型,该项目综合学习项目。 为了提供讨论的背景,我们展示了将这种学习活动引入程序以及模型本身的设计的动机。 我们还报告了综合学习经验的实施结果,讨论了参与者的观点,并在两年内描述了学习的经验教训。 我们在数学中的一套确定的Capstone经验特征,并呼吁重新概念设计团队合作支持学术界的方式。

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