Embedding quantitative skills into the social science curriculum: case studies from Manchester

Embedding quantitative skills into the social science curriculum: case studies from Manchester
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将定量技能纳入社会科学课程:曼彻斯特的案例研究

DOI:
10.1080/13645579.2015.1062624
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发表时间:
2015
影响因子:
3.3
通讯作者:
Buckley J
Buckley J
中科院分区:
法学3区
文献类型:
--
作者:
Buckley J

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在认识到英国社会科学界缺乏定量技能时,学者们强调了本科课程中定量方法(QM)教学方式的缺点(Falkingham & McGowan,2011; MacInnes,2009;帕克,多布森,斯科特,怀曼,& Landén,2008)。这些报告指出,虽然在大多数方案中,一些定量培训现在是强制性的,但对许多学生来说,这是与其学位的其他部分无关的,与其实质性课程所涵盖的主要学科主题缺乏相关性。这种观察可能会突出方法课程本身的问题,这些课程倾向于教授数据分析的机制。同样,这可能是因为许多“非方法”教学缺乏定量的例子和参考的定量方法对学科知识的贡献。在广泛报道的学生对定量数据焦虑的背景下,(Adeney & Carey,2011; Howery & Havidan,2006; Slootmaeckers,Kerremans,& Adriaensen,2014;威廉姆斯,佩恩,霍奇金森,和Poade,2008年),在实质性教学中,定量证据的边缘化是一个明显的障碍,它阻碍了学生将定量方法培训视为不仅仅是一个模块才能通过。
In recognising a shortage of quantitative skills in the UK Social Science community, scholars have highlighted shortcomings in the way quantitative methods (QM) are taught in undergraduate programmes (Falkingham & McGowan, 2011; MacInnes, 2009; Parker, Dobson, Scott, Wyman, & Landén, 2008). These reports observe that while on most programmes some quantitative training is now compulsory, for many students it is something detached from the rest of their degree, lacking relevance to the major disciplinary themes covered in their substantive courses. This observation may highlight a problem with the methods courses themselves, which tend to teach the mechanics of data analysis. Equally, it might be because much ‘non-methods’ teaching lacks quantitative examples and references to the contribution of quantitative approaches to subject knowledge. Against a background of widely reported student anxiety over quantitative data (Adeney & Carey, 2011; Howery & Havidan, 2006; Slootmaeckers, Kerremans, & Adriaensen, 2014; Williams, Payne, Hodgkinson, & Poade, 2008), the marginalisation of quantitative evidence in substantive teaching is a clear obstacle to getting students to see quantitative methods training as anything more than a module to be got through.
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