Teaching Algorithms and Algorithms for Teaching

24 Florida Tax Review 1 (2021)

Northwestern Public Law Research Paper No. 21-19

24 Pages Posted: 2 Jul 2021

Date Written: June 29, 2021

Abstract

This Article focuses on what it calls the “algorithm method,” a common method used to teach tax classes that presents students with unambiguous problems that guide students through complex statutes and regulations. The Article describes a novel teaching tool created by the author: a website that randomly generates tax problems with objectively correct answers; multiple choice answers that reflect common errors that students make; and explanations for each answer that either respond to the underlying error or give a full explanation of the correct answer. The Article explains the purpose and use of the website for professors and students, respectively, and proposes approaches to make using the website, and indeed the algorithm method, more effective.

Keywords: tax, artificial intelligence, formalization of law, legal education, teaching tax

JEL Classification: K10, K34

Suggested Citation

Lawsky, Sarah B., Teaching Algorithms and Algorithms for Teaching (June 29, 2021). 24 Florida Tax Review 1 (2021), Northwestern Public Law Research Paper No. 21-19, Available at SSRN: https://ssrn.com/abstract=3876486

Sarah B. Lawsky (Contact Author)

Northwestern University - Pritzker School of Law ( email )

375 E. Chicago Ave
Chicago, IL 60611
United States

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