Test Performance of Artificial Intelligence in the Chinese Social Work Certification Examination

Purpose: The study checked the validity of the entry-level Chinese Social Work Certification Examination in 2024 and tested the social work knowledge of artificial intelligence (AI) by exploring the performance of two systems—ChatGPT 4.0 and ERNIE Bot 4.0. Method: We applied zero-shot learning to the testing models, determined the correctness of their answers based on the reference books, and analyzed their reasons behind. Result: The results show that both AIs passed the exam with scores around 80/100. The AIs answered most questions correctly with adequate reasoning. The reasons for incorrect answers included wrong knowledge, logical fallacies, misunderstanding of question contents, and neglecting the test instruction, which reflected the hallucinations in large-language models. ChatGPT had better reasoning abilities, while ERNIE Bot was more familiar with local contexts and policies. Discussion: The findings support the validity of the exam and also confirm the ability of AI in using social work knowledge.

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Publication Details

Journal
Research on Social Work Practice
Published
2025-10-27
DOI
https://doi.org/10.1177/10497315251389554
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Test Performance of Artificial Intelligence in the Chinese Social Work Certification Examination

Tian-Yi Qin, Jia‐Lin Zhao, Li Shen
Research on Social Work Practice
Artificial Intelligence in Healthcare and Education
article

Test Performance of Artificial Intelligence in the Chinese Social Work Certification Examination

Tian-Yi Qin, Jia‐Lin Zhao, Li Shen
article en

Abstract

Purpose: The study checked the validity of the entry-level Chinese Social Work Certification Examination in 2024 and tested the social work knowledge of artificial intelligence (AI) by exploring the performance of two systems—ChatGPT 4.0 and ERNIE Bot 4.0. Method: We applied zero-shot learning to the testing models, determined the correctness of their answers based on the reference books, and analyzed their reasons behind. Result: The results show that both AIs passed the exam with scores around 80/100. The AIs answered most questions correctly with adequate reasoning. The reasons for incorrect answers included wrong knowledge, logical fallacies, misunderstanding of question contents, and neglecting the test instruction, which reflected the hallucinations in large-language models. ChatGPT had better reasoning abilities, while ERNIE Bot was more familiar with local contexts and policies. Discussion: The findings support the validity of the exam and also confirm the ability of AI in using social work knowledge.

Research on Social Work Practice
Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 77%
Artificial Intelligence in Healthcare and Education
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Test Performance of Artificial Intelligence in the Chinese Social Work Certification Examination — Tian-Yi Qin, Jia‐Lin Zhao, et al. · Research on Social Work Practice (2025) | TGRS Research Map | TGRS