On Application of Accounting Data Analytics in the Accounting Curriculum

ARN: Courses Pub Date : 2016-10-01 DOI:10.2139/SSRN.2840455
Saeed J. Roohani, Ariel Markelevich
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Abstract

Data analytics are an important part of the accounting profession and accountants are more and more in need of data analytics skills. There is a debate as to where should be the focus of analytics in accounting curriculum. Our paper introduces a road map for the integration of accounting data analytics in the accounting curriculum. To integrate data analytics some emphasize mastery of certain tools and propriety data set, others suggest focusing on statistical tools and data crunching. Accounting data can be used to improve analytical thinking skills of students in various accounting courses. We encourage our students to ask “interesting” questions, then we use data and tools to answer them in class.This paper reports on some experiences of accounting professors using analytics in accounting courses. We utilized publicly available accounting data products/services in the classroom and developed a series of questions for students that require accounting data analytics. These questions are carefully designed to relate to the course subject matter, and require quick responses, given data services/tools available in class. Overall, the integration of accounting data analytics we offer seems to help students apply classroom learning to the real world, and therefore make learning more effective. Too often the focus on textbook materials could get boring without any “action” or live data analytics demonstration regarding the topic of interest. We can make accounting more interesting if students in the classroom can quickly analyze a scenario and come up with potential answers. We restrict our discussion to data services/tools that are freely available to academics. Finally, this paper is intended to primarily show the accounting faculty opportunities available to integrate accounting data analytics into selected accounting courses. As such it is not a classroom teaching case, thought examples are suitable for classroom use.
论会计数据分析在会计课程中的应用
数据分析是会计专业的重要组成部分,会计人员越来越需要数据分析技能。关于分析学在会计课程中的重点应该放在哪里,存在着争论。我们的论文介绍了在会计课程中整合会计数据分析的路线图。为了整合数据分析,一些人强调掌握某些工具和适当的数据集,另一些人则建议专注于统计工具和数据处理。在各种会计课程中,会计数据可以用来提高学生的分析思维能力。我们鼓励学生提出“有趣”的问题,然后我们在课堂上用数据和工具来回答这些问题。本文报告了会计学教授在会计学课程中运用分析学的一些经验。我们在课堂上使用公开可用的会计数据产品/服务,并为需要会计数据分析的学生开发了一系列问题。这些问题经过精心设计,与课程主题相关,需要快速回答,并提供课堂上可用的数据服务/工具。总的来说,我们提供的会计数据分析的整合似乎可以帮助学生将课堂学习应用到现实世界中,从而使学习更有效。如果没有任何关于感兴趣的主题的“行动”或实时数据分析演示,那么关注教科书材料可能会变得无聊。如果学生在课堂上能够快速分析一个场景并想出可能的答案,我们可以让会计变得更有趣。我们的讨论仅限于对学术界免费提供的数据服务/工具。最后,本文旨在主要展示会计学院的机会,将会计数据分析整合到选定的会计课程中。因此,它不是一个课堂教学案例,但例子适合课堂使用。
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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