围绕智能化教育测评，主持博士后创新实践项目1项，发表第一/通讯作者SSCI论文6篇、CSSCI论文2篇。以前三作者身份发表教育研究及CSSCI论文7篇，SSCI论文2篇，英文著作1章；参与国家级科研项目2项、省部级项目3项。

主要研究成果：

[]项目：主持上海市博士后创新实践基地(杨浦)项目--《多维英语词汇知识的智能化测评系统研发》，经费 20 万元。

论文：

[1] Chen, Y., Guo, S. & Yu, Y. (2024). The relationship of real-life interpersonal difficulties and Chinese adolescentsonline deviant behavior: A U-shaped mediated moderating effect of online morality. Humanities & Social Sciences Communications,11, Article 135. (SSCI，共同一作+通讯作者)

[2] Guo, S., Chen, Y., Zheng,C.,& Li, G. (2023). Mixture-modelling-based Bayesian MH-RM algorithm for the multidimensional 4PLM. British Journal of Mathematical and Statistical Psychology, 76(3), 585-604. (SSCI & SCI).

[3] Guo, S., Wu, T, Zheng, C.. & Chen, Y. (2021). Bayesian modal estimation for the one parameter logistic ability-basedguessing (1PL-AG) model. Applied Psychological Measurement, 45(3),195-213. (SSCI)

[4] Guo, S., Zheng, C., & Kern, J. L. (2020). IRTBEMM: An R package for estimating IRT models with guessing orslipping parameters.Applied Psychological Measurement,44(7-8),566-567. (SSCI & 软件包)

[5] Guo, S., & Zheng, C. (2019). The Bayesian Expectation-Maximization-Maximization for the 3PLM. Frontiers in Psychology,10, 1175. (SSCI)

[6] Zheng, C., Guo, S., & Kerm, J. L. (2021). Fast Bayesian estimation for the four-parameter logistic model (4PLM). Sage Open, 11(4), 1-13. (SSCI，共同一作+通讯作者)

[7] Li, X., Guo, S., Wu, J., & Zheng, C. (2025). An interpretable polytomous cognitive diagnosis framework for predicting examinee performance. Information Processing & Management, 62(1), 103913.  (SSCI & SCI Q1 TOP)

[8] Li, X., Dong, S., Guo, S., & Zheng, C. (2025). Applying support vector machines to a diagnostic classification model for polytomous attributes in small-sample contexts. British Journal of Mathematical and Statistical Psychology, 78(1), 167-189. (SSCI & SCI)

[9] 郭少阳, 杨向东. (2023). 协作式问题解决能力测评方法的发展与局限. 全球教育展望(6), 49-61. (CSSCI)

[10] 郭少阳, 郑蝉金, 陈彦垒. (2018). 方差分析与回归分析的整合:虚拟变量与设计矩阵. 统计与决策, 34(12), 27-30. (CSSCI)