Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination
Xuan-Quy Dao, Ngoc-Bich Le

TL;DR
This paper evaluates ChatGPT's mathematical reasoning abilities across various question types and difficulty levels in the Vietnamese National High School Graduation Examination, highlighting its strengths and limitations in different topics.
Contribution
It provides a comprehensive analysis of ChatGPT's performance on standardized math questions, revealing its strengths in basic concepts and weaknesses in complex topics and graphical data interpretation.
Findings
ChatGPT excels at knowledge-level questions with 83% accuracy.
Performance drops to 10% accuracy on high-difficulty questions.
ChatGPT performs well in SAT Math but less so in other advanced exams.
Abstract
This study offers a complete analysis of ChatGPT's mathematics abilities in responding to multiple-choice questions for the Vietnamese National High School Graduation Examination (VNHSGE) on a range of subjects and difficulty levels. The dataset included 250 questions divided into four levels: knowledge (K), comprehension (C), application (A), and high application (H), and it included ten themes that covered diverse mathematical concepts. The outcomes demonstrate that ChatGPT's performance varies depending on the difficulty level and subject. It performed best on questions at Level (K), with an accuracy rate of ; but, as the difficulty level rose, it scored poorly, with an accuracy rate of . The study has also shown that ChatGPT significantly succeeds in providing responses to questions on subjects including exponential and logarithmic functions, geometric progression, and…
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Taxonomy
TopicsOnline Learning and Analytics
