ERIC Number: EJ1408204
Record Type: Journal
Publication Date: 2024
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0883-2323
EISSN: EISSN-1940-3356
Investigating AI Languages' Ability to Solve Undergraduate Finance Problems
Changyu Yang; Adam Stivers
Journal of Education for Business, v99 n1 p44-51 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI language models--ChatGPT and Google Bard--focusing on their ability to solve undergraduate finance problems. We find that GPT-4 significantly outperforms Bard-1.0, excelling in easy problems but struggling with complex ones. The results suggest that it is crucial to handle AI with care in order to uphold academic integrity.
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis, Undergraduate Study, Problem Solving, Financial Education
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A