Suchergebnisse

ABSTRACTThis case uses IRS SOI migration data to help students understand the power of data analysis to identify potential policy issues faced by state governments. The data skills covered in this case are used by entry level accounting professionals in all fields: the Extract, Transform, and Load (ETL) process using Alteryx and creating data visualizations using Tableau. The case learning objectives are: (1) develop students' ETL skills; (2) develop students' data visualization skills; (3) develop students' critical-thinking skills, and (4) enhance students' effective oral and written communications skills. Pre- and post-learning assessment surveys and open-ended responses indicate that the case meets these learning objectives. Students easily related to policy questions surrounding migration as future employees considering their career options. As such, this case is appropriate for stand-alone data analytics courses in business or accounting, accounting information systems courses, undergraduate- and graduate-level tax classes, and M.B.A. courses.

This chapter focuses on using primary sources to teach students to define propaganda and explain how it has been used in a historical context, especially as it relates to US political history. Students have always known the internet and have witnessed fake news as it circulates the web, but they may not know that information has been used for purposes ofpersuasion throughout history. The activity provided in this chapter makes use of special collections materials pertaining to historical propaganda and affords students the opportunityto critically analyze and interpret primary sources.

ABSTRACTTomorrow's accounting professionals need to understand both accounting and data analytics. To meet these needs, we developed a case that combines an important area of tax accounting, Effective Tax Rates (ETRs), with multiple data analysis skills. The case can be completed in Excel, or with Tableau and/or Alteryx, using Compustat or public data. The case's learning objectives for students are to: (1) expand knowledge of data analytics and ETRs; (2) use critical-thinking skills to identify economic, industry, and firm-level factors that might affect ETRs; (3) develop skills specific to data analytics and data visualization in accounting; and (4) develop effective oral and written communication skills. We evaluate the case's efficacy using data from pre- and post-learning assessment surveys and open-ended responses, which indicate that the comprehensive case meets these learning objectives.Data Availability: Data are available from the public sources cited in the text.