Game Analysis of ChatGPT in University Education Applications

DOI

10.2991/978-94-6463-502-7_59How to use a DOI?

Keywords

ChatGPT; Game Analysis; Educational Application; Information Asymmetry

Abstract

Purpose

The purpose of this research paper is to study the measures taken by eight universities (e.g., the University of Hong Kong, Chinese University of Hong Kong, Lingnan University Hong Kong, Education University of Hong Kong, Hong Kong University of Science and Technology, City University of Hong Kong, Hong Kong Baptist University, and Hong Kong Polytechnic University) in Hong Kong after the emergence of ChatGPT (December 2022 to September 2023) and their impact on the education ecology of Hong Kong.

Design/Method/Approach

The study examines earlier publications, including governmental records and newspapers, and offers five sections of analysis. It starts by going over how ChatGPT is used in the classroom. Second, the paper designs a Game Model for the ChatGPT Educational Application. Third, the paper analyzes the condition of game behavior. Fourth, it analyzes the application of AI software in college classrooms for teaching from the perspective of information asymmetry. Fifth, the paper discusses the changes from ChatGPT to the traditional teaching mode.

Findings

First, eight universities in Hong Kong from December 2022 to August 2023 adopted various policies. These policies can be divided into three categories: the encouraged use policy, the restricted use policy, and the no use policy. Besides, the Education University of Hong Kong proposed a “6-P teaching orientation” policy (Plan, Prompt, Preview, Produce, Peer Review, and Portfolio Tracking). Second, the eight universities in Hong Kong lifted the ban on the use of ChatGPT in September 2023. But they limit the number of instructions and tokens in ChatGPT per month and require students to submit a “prompt list” of AI-generated content.

Originality/value

The research paper reviews the changes in policies about ChatGPT in the education sector of Hong Kong from December 2022 to September 2023. In addition, the paper analyzes how the government, schools, and students’ interests change depending on the different situations. Besides, the paper designs the Nash equilibrium solution in ChatGPT Education Application and conducts ChatGPT model-based education policy recommendations for dilemmas.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fat Fai Ieong
AU  - Jiayue Qiu
AU  - Hok Kun Wan
AU  - Sio Hong Teng
PY  - 2024
DA  - 2024/08/31
TI  - Game Analysis of ChatGPT in University Education Applications
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 567
EP  - 576
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_59
DO  - 10.2991/978-94-6463-502-7_59
ID  - Ieong2024
ER  -