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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 , DOI: 10.1080/08874417.2020.1848482
Daniel Adomako Asamoah 1
Affiliation  

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:

使用模拟方法进行数据分析教学

摘要

信息系统、财务和会计等学科在很大程度上依赖于分析流程和应用程序来创造价值。然而,由于人力资源不足,大多数组织未充分利用其决策分析潜力。反思学术界在缓解人力资源问题方面的作用,我使用模拟方法设计了一门硕士水平的分析课程,并评估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,并统计评估了模拟方法如何影响分析学习。接下来,根据调查的文本回复,我使用文本分析来确定用户对模拟模块的优势和劣势的看法。我发现模拟是增强概念的有效方法,业务分析的理论和实践理解。但是,需要事先讨论理论概念。此外,应给学生足够的时间对必要的分析概念进行深入分析。

更新日期:2020-12-09
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