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Utilizing a Simulation Approach for Data Analytics Pedagogy
Journal of Computer Information Systems ( IF 2.5 ) Pub Date : 2020-12-09
Daniel Adomako Asamoah

ABSTRACT

Disciplines such as information systems, finance, and accounting largely depend on analytics processes and applications to create value. Nevertheless, most organizations underutilize their analytics potential for decision making due to insufficient human resource. Reflecting on the role of academia in alleviating the human resource issue, I used a simulation approach to design a master’s level analytics course and evaluated its effectiveness in teaching analytics concepts. I collected quantitative data in a survey and statistically evaluated how the simulation approach impacted analytics learning. Next, based on the survey’s textual responses, I used text analytics to determine users’ perceptions about the strengths and weaknesses of the simulation module. I found that simulation is an effective approach for enhancing the conceptual, theoretical and practical understanding of business analytics. However, prior discussions about theoretical concepts are needed. Also, students should be given enough time for an in-depth analysis of requisite analytics concepts.



中文翻译:

将模拟方法用于数据分析教学法

摘要

信息系统,财务和会计等学科在很大程度上取决于分析过程和应用程序来创造价值。但是,由于人力资源不足,大多数组织未充分利用其分析潜力来进行决策。考虑到学术界在缓解人力资源问题方面的作用,我使用了一种模拟方法来设计硕士学位分析课程,并评估了其在教授分析概念方面的有效性。我在一项调查中收集了定量数据,并对统计方法对分析学习的影响进行了统计评估。接下来,基于调查的文本回复,我使用文本分析来确定用户对模拟模块优缺点的看法。我发现模拟是增强概念的有效方法,对业务分析的理论和实践理解。但是,需要对理论概念进行事先讨论。另外,应该给学生足够的时间来深入分析必要的分析概念。

更新日期:2020-12-09
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