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Developing a STEM-designated accounting curriculum

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  • O’Hara, Richard C.
  • Simmons, Valerie
  • Kogan, Gregory
  • Boyle, Douglas M.

Abstract

With the increasing focus on technology in accounting education and the profession, numerous accounting programs are modifying curricula to ensure students have the necessary technical skills to succeed in their future careers. Moreover, at least 83 graduate accounting programs have obtained STEM designation to signify the technological focus of their curricula. The purpose of this study is to present information to accounting educators on the current state of affairs surrounding accounting programs and STEM, as well as offer information for obtaining STEM designation. Specifically, we offer background information on the convergence of accounting and technology, the current status of accounting as STEM, the benefits of and guidance for obtaining STEM designation, and resources for incorporating technology into the accounting curriculum. In addition, we present a table of instructional data analytics tools that lists case studies for various technologies and topics, articles detailing course design for specific technology areas, relevant papers discussing technology in the accounting profession, and textbooks and websites pertaining to data analytics instruction.

Suggested Citation

  • O’Hara, Richard C. & Simmons, Valerie & Kogan, Gregory & Boyle, Douglas M., 2024. "Developing a STEM-designated accounting curriculum," Journal of Accounting Education, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:joaced:v:69:y:2024:i:c:s0748575124000344
    DOI: 10.1016/j.jaccedu.2024.100918
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    References listed on IDEAS

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    1. Garas, Samy & Wright, Susan L., 2024. "A data analytics case study analyzing IRS SOI migration data using no code, low code technologies," Journal of Accounting Education, Elsevier, vol. 66(C).
    2. Robinson, Michael A. & Stuebs, Martin & Wilfong, Lauren & Beard, Haylee, 2020. "The costs to bus go round and round: Charting a route to a decision," Journal of Accounting Education, Elsevier, vol. 50(C).
    3. Lawson, James G. & Street, Daniel A., 2021. "Detecting dirty data using SQL: Rigorous house insurance case," Journal of Accounting Education, Elsevier, vol. 55(C).
    4. Stern, Myles & Reinstein, Alan, 2021. "A blockchain course for accounting and other business students," Journal of Accounting Education, Elsevier, vol. 56(C).
    5. Igou, Amy & Coe, Martin, 2016. "Vistabeans coffee shop data analytics teaching case," Journal of Accounting Education, Elsevier, vol. 36(C), pages 75-86.
    6. Hoelscher, Jamie & Mortimer, Amanda, 2018. "Using Tableau to visualize data and drive decision-making," Journal of Accounting Education, Elsevier, vol. 44(C), pages 49-59.
    7. Fay, Rebecca & Negangard, Eric M., 2017. "Manual journal entry testing: Data analytics and the risk of fraud," Journal of Accounting Education, Elsevier, vol. 38(C), pages 37-49.
    8. Werner, Michael & Wiese, Michael & Maas, Annalouise, 2021. "Embedding process mining into financial statement audits," International Journal of Accounting Information Systems, Elsevier, vol. 41(C).
    9. Presley, Theresa J., 2019. "A risk based approach to large datasets: Analysis of time series data for a large merchandising firm," Journal of Accounting Education, Elsevier, vol. 49(C).
    10. Janvrin, Diane J. & Raschke, Robyn L. & Dilla, William N., 2014. "Making sense of complex data using interactive data visualization," Journal of Accounting Education, Elsevier, vol. 32(4), pages 31-48.
    11. Angelo, Ben & Ayres, Douglas & Stanfield, Jason, 2018. "Power from the ground up: Using data analytics in capital budgeting," Journal of Accounting Education, Elsevier, vol. 42(C), pages 27-39.
    12. Felski, Elizabeth, 2023. "Audit technologies used in practice and ways to implement these technologies into audit courses," Journal of Accounting Education, Elsevier, vol. 62(C).
    13. Lee, Lorraine & Casterella, Gretchen, 2023. "A mental model approach to teaching database querying skills with SQL and Alteryx," Journal of Accounting Education, Elsevier, vol. 64(C).
    14. Brown, Kevin F. & Lightle, Susan, 2022. "Only Reliable Parts and Supplies, Inc.: Assessing and documenting the design of internal controls," Journal of Accounting Education, Elsevier, vol. 60(C).
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