Abstract: Given the importance of interdisciplinary learning and the growth of data analytics skillsets within the accounting domain, this manuscript describes a teaching case for IRS tax filing statistics to develop students' knowledge of analytics and connect current events in business and accounting. The experiential learning activity is developed in the context of an undergraduate upper-level course on descriptive and predictive analytics. The contributions of this teaching case are an experiential learning activity applied to a real-world current event and an interdisciplinary learning activity that allows students to apply and develop their curricular knowledge. The overall case objectives are to estimate the total number of individual IRS tax returns processed and total refunds for the current tax season and offer additional insights and recommendations based on the analysis.
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Recommended Citation: Woodside, J., Mendoza, M., (2023). Tax Time: An Interdisciplinary Accounting Analytics Experiential Learning Activity. Information Systems Education Journal21(4) pp 37-45. http://ISEDJ.org/2023-4/ ISSN : ISSN: 1545-679X. A preliminary version appears in The Proceedings of EDSIGCON 2022