Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT
人工智能
计算机科学
心理学
数学教育
工程类
作者
Muneer M. Alshater
出处
期刊:Social Science Research Network [Social Science Electronic Publishing] 日期:2022-01-01被引量:184
标识
DOI:10.2139/ssrn.4312358
摘要
This study aims to explore the potential of artificial intelligence, particularly natural language processing, in enhancing academic performance using economics and finance as an illustrative example. The study employs a case study approach, using ChatGPT as a specific example of an NLP tool that has the potential to advance research. Our analysis of ChatGPT's applications, capabilities, and limitations revealed that it has the potential to significantly enhance academic research in general and economics and finance in particular. ChatGPT and other AI tools can assist researchers in data analysis and interpretation, scenario generation, and communication of findings. However, there are several limitations to consider when using chatbots or similar tools in research, including generalizability, dependence on data quality and diversity, lack of domain expertise, limited ability to understand context, ethical considerations, and limited ability to generate original insights. It is therefore important to carefully consider these limitations when using ChatGPT and to use it in conjunction with human analysis and interpretation.