How to Learn and Teach Economics with Large Language Models, Including GPT

Cowen, Tyler; Tabarrok, Alexander T.

doi:10.2139/ssrn.4391863

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How to Learn and Teach Economics with Large Language Models, Including GPT

GMU Working Paper in Economics No. 23-18

41 Pages Posted: 27 Mar 2023 Last revised: 12 May 2023

See all articles by Tyler Cowen

Tyler Cowen

George Mason University - Department of Economics; George Mason University - Mercatus Center

Alexander T. Tabarrok

George Mason University - Department of Economics; Mercatus Center

Date Written: March 17, 2023

Abstract

GPTs, such as ChatGPT and Bing Chat, are capable of answering economics questions, solving specific economic models, creating exams, assisting with research, generating ideas, and enhancing writing, among other tasks. This paper highlights how these innovative tools differ from prior software and necessitate novel methods of interaction. By providing examples, tips, and guidance, we aim to optimize the use of GPTs and LLMs for learning and teaching economics effectively.

Keywords: economics, GPTs, Large Language Models, artificial intelligence, teaching

JEL Classification: A20, C45, B10

Suggested Citation: Suggested Citation

Cowen, Tyler and Tabarrok, Alexander T., How to Learn and Teach Economics with Large Language Models, Including GPT (March 17, 2023). GMU Working Paper in Economics No. 23-18, Available at SSRN: https://ssrn.com/abstract=4391863 or http://dx.doi.org/10.2139/ssrn.4391863