回顾数据分析教学案例,我们涵盖的内容是否足够?

IF 1.6 Q3 BUSINESS, FINANCE Journal of Emerging Technologies in Accounting Pub Date : 2021-03-01 DOI:10.2308/JETA-2020-036
Robyn L. Raschke, K. Charron
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引用次数: 7

摘要

大数据和数据分析正在改变会计行业,需要不同的技能。为了让学生做好准备,教师的任务是教授数据分析和用于执行数据分析的工具。本研究使用数据分析过程的视角,从同行评审的会计教育文献中考察了整个课程中的数据分析教学案例。我们包括学生用来完成案例的广泛工具,这些工具将为学生提供成为有价值的商业伙伴所需的经验。我们发现,大多数教学案例侧重于分析和交流,而很少涉及分析前的必要步骤,如提取和数据准备。我们还发现,Excel是主要使用的工具,而其他急需的工具很少用于教学案例。我们的研究结果为学术界提供了一个机会,可以创建新的教学案例,为学生提供整个数据分析周期的全面体验。
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Review of data analytic teaching cases, have we covered enough?
Big Data and data analytics are changing the accounting profession requiring different skills. To prepare students, faculty are tasked with teaching data analytics and the tools used to perform data analysis. This study examines data analytic teaching cases across the curriculum from peer-reviewed accounting education literature using the lens of the data analytic process. We include the breadth of tools students employ to complete the cases that will give students the experience needed to be a valued business partner. We find that the majority of teaching cases focus on analysis and communication, while few cover necessary steps prior to analysis such as extraction and data preparation. We also find that Excel is the principal tool used, while other much needed tools are rarely employed in teaching cases. Our findings provide an opportunity for academics to create new teaching cases to provide students with comprehensive experiences throughout the data analytics cycle.
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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