Leveraging Large Language Models for Educational Enhancement: A Case Study of ChatGPT, BingChat, and Bard

Thu Nguyen

doi:10.20944/preprints202309.1554.v1

Preprint Brief Report Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 22 September 2023 / Approved: 22 September 2023 / Online: 22 September 2023 (11:29:01 CEST)

This paper examines the potential of large language models, specifically ChatGPT, BingChat, and Bard, in enhancing the work of teachers in various educational settings. These models, powered by cutting-edge artificial intelligence, offer a wide range of applications that can aid educators in curriculum development, personalized instruction, student engagement, and administrative tasks. By harnessing the capabilities of these language models, teachers can not only streamline their workload but also improve the overall quality of education. This paper explores the ways in which these models can empower educators and revolutionize teaching practices.

ChatGPT; BingChat; Bard; large model language

Social Sciences, Education

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Leveraging Large Language Models for Educational Enhancement: A Case Study of ChatGPT, BingChat, and Bard

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