基于ChatGPT的情绪稳定性自适应题库开发的探索

doi:10.12139/j.1672-0628.2025.05.014

摘要/Abstract

摘要：

传统项目开发所耗费的大量人力物力制约着计算机自适应测验的发展，而随着自然语言处理技术的进步，根据特定测量目标自动生成项目并以此为基础建立自适应测验题库成为可能，但构建出的题库性能仍有待验证。因此本研究使用ChatGPT生成了大量中文情绪稳定性的人格项目，通过系列题库构建步骤以及模拟自适应测验，检验了生成项目及其构建出的题库质量，并发现GPT生成项目与经典项目有类似的性能，以此验证了一种经济高效的题库开发补充方案。

关键词: 计算机化自适应测验, 自动项目生成, 自然语言处理, 情绪稳定性, 项目反应理论

Abstract:

The significant human and material resources required for traditional item development have hindered the advancement of computer adaptive testing. However, with the progress of natural language processing technology, it has become possible to automatically generate items based on specific measurement objectives and to construct adaptive testing item banks on this basis. Nevertheless, the performance of the constructed item bank still requires validation. Therefore, this study utilized ChatGPT to generate a large number of Chinese personality items related to emotional stability. Through a series of item bank construction steps and simulations of adaptive testing, the quality of the generated items and the constructed item bank was evaluated. The results reveal that GPT-generated items exhibit performance similar to that of classical items, thereby validating a cost-effective and efficient supplementary solution for item bank development.

Key words: computerized adaptive testing, automatic item generation, natural language processing, emotional stability, item response theory

高垚杰, 齐运晓, 马苑秋, 刘拓. 基于ChatGPT的情绪稳定性自适应题库开发的探索[J]. 心理与行为研究, 2025, 23(5): 685-694.

Yaojie GAO, Yunxiao QI, Yuanqiu MA, Tuo LIU. Exploration of Adaptive Item Bank Development for Emotional Stability Based on ChatGPT[J]. Studies of Psychology and Behavior, 2025, 23(5): 685-694.

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参考文献 0

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模型	AIC	BIC	Loglik
经典题库
GRM	47240.97	48167.08	−23398.48
GPCM	47820.24	48746.35	−23688.12
GPT题库
GRM	74640.70	76242.64	−36936.35
GPCM	75556.12	77158.05	−37394.06
总题库
GRM	122730.8	125258.8	−60759.38
GPCM	124201.5	126729.6	−61494.76

模型	AIC	BIC	Loglik
经典题库
GRM	47240.97	48167.08	−23398.48
GPCM	47820.24	48746.35	−23688.12
GPT题库
GRM	74640.70	76242.64	−36936.35
GPCM	75556.12	77158.05	−37394.06
总题库
GRM	122730.8	125258.8	−60759.38
GPCM	124201.5	126729.6	−61494.76

题库	终止规则	M_题数	SD_题数	M_SE(θ)	M_MR	r_真值
经典题库	全部	42		0.15	0.98	0.986***
	SE(θ)≤0.447	2.60	0.88	0.41	0.83	0.900***
	SE(θ)≤0.387	3.77	1.73	0.36	0.87	0.929***
	SE(θ)≤0.316	5.87	3.23	0.30	0.91	0.950***
	SE(θ)≤0.224	12.90	4.77	0.22	0.95	0.978***
GPT题库	全部	75		0.09	0.99	0.992***
	SE(θ)≤0.447	2.40	1.06	0.40	0.84	0.921***
	SE(θ)≤0.387	3.06	1.18	0.36	0.87	0.930***
	SE(θ)≤0.316	4.90	3.76	0.30	0.91	0.953***
	SE(θ)≤0.224	10.11	6.94	0.22	0.95	0.976***
GPT 题库(42)	全部	42		0.13	0.98	0.996***
	SE(θ)≤0.447	2.48	0.86	0.40	0.84	0.994***
	SE(θ)≤0.387	3.35	1.75	0.36	0.87	0.995***
	SE(θ)≤0.316	5.15	3.05	0.30	0.91	0.996***
	SE(θ)≤0.224	10.51	4.12	0.22	0.95	0.996***
总题库	全部	117		0.08	0.99
	SE(θ)≤0.447	2.42	0.96	0.39	0.84	0.916***
	SE(θ)≤0.387	3.15	1.39	0.36	0.87	0.932***
	SE(θ)≤0.316	4.79	3.30	0.30	0.91	0.948***
	SE(θ)≤0.224	10.14	8.38	0.22	0.95	0.971***

题库	终止规则	M_题数	SD_题数	M_SE(θ)	M_MR	r_真值
经典题库	全部	42		0.15	0.98	0.986***
	SE(θ)≤0.447	2.60	0.88	0.41	0.83	0.900***
	SE(θ)≤0.387	3.77	1.73	0.36	0.87	0.929***
	SE(θ)≤0.316	5.87	3.23	0.30	0.91	0.950***
	SE(θ)≤0.224	12.90	4.77	0.22	0.95	0.978***
GPT题库	全部	75		0.09	0.99	0.992***
	SE(θ)≤0.447	2.40	1.06	0.40	0.84	0.921***
	SE(θ)≤0.387	3.06	1.18	0.36	0.87	0.930***
	SE(θ)≤0.316	4.90	3.76	0.30	0.91	0.953***
	SE(θ)≤0.224	10.11	6.94	0.22	0.95	0.976***
GPT 题库(42)	全部	42		0.13	0.98	0.996***
	SE(θ)≤0.447	2.48	0.86	0.40	0.84	0.994***
	SE(θ)≤0.387	3.35	1.75	0.36	0.87	0.995***
	SE(θ)≤0.316	5.15	3.05	0.30	0.91	0.996***
	SE(θ)≤0.224	10.51	4.12	0.22	0.95	0.996***
总题库	全部	117		0.08	0.99
	SE(θ)≤0.447	2.42	0.96	0.39	0.84	0.916***
	SE(θ)≤0.387	3.15	1.39	0.36	0.87	0.932***
	SE(θ)≤0.316	4.79	3.30	0.30	0.91	0.948***
	SE(θ)≤0.224	10.14	8.38	0.22	0.95	0.971***

	SE_CBF-PI-B=0.34	SE_BFI-2=0.27	SE_TIPI=0.46	SE_BFAS=0.21
传统测验题数	8	12	2	20
经典题库题数	5.07	8.44	2.51	15.13
GPT题库题数	4.18	6.86	2.27	11.63
GPT题库(42)题数	4.42	7.12	2.37	11.97
总题库题数	4.20	7.08	2.27	11.52