Xuelan Qiu, Associate Professor
Release date:2025/10/16
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丘雪蘭博士, 副教授

Dr. Xuelan Qiu Associate Professor


學校郵箱

sherryqiu@cityu.edu.mo

 

學歷 Education

2016 Ph.D. Educational & Psychological Measurement, The Education University of Hong Kong (EdUHK)

2008 M.A. Educational Psychology, Department of Psychology, Capital Normal University, China

2000 B.S. (Hons) Educational Technology, South China Normal University, China

 

現任Present Position

澳門城市大學教育學院副教授

Associate Professor, School of Education, City University of Macau

 

任教科目Courses Teaching

MTL004 學習理論 Learning Theory

MTL003 信息技術與學習 Information Technology and Learning

 

曾任教科目Courses Taught

統計方法導論Introduction to Statistical Methods

研究与探究方法Methods of Research and Enquiry

心理学研究的统计方法Statistical Methods in Psychological Studies

 

研究方向 Research Areas

Educational & Psychological Measurement

Psychometrics

Computerized Adaptive Testing & Learning

AI for Educational Assessment

Machine Learning

 

研究及出版 Research and Publications

Book Chapters (*Corresponding Author)

1.       Naylor, W.*, Rubab, S., Wang, Y.-G., & Qiu, X.-L. (2024). Mathematics concept inventories (MCIs) and conceptual capabilities for ITE students. In P. J. White, R. Tytler, J. P. Ferguson, and J. C. Clark (Eds.), Contemporary Approaches to Research in STEM Education. Cambridge Scholars Publishing.

2.        Qiu, X.-L., Li, X., & Wang, W.-C.* (2019). Differential item functioning in cognitive diagnostic models. In M. von Davier & Y. Lee (Eds.), Handbook of Diagnostic Classification Models (379–393). Springer.

3.        Wang, W.-C.*, Qiu, X.-L., Chen, C.-W., & Ro, S. (2016). Item response theory models for multidimensional ranking items. In L. A. van der Ark, D. M. Bolt, W.-C. Wang, J. A. Douglas, & Wiberg, M. (Eds.), Quantitative Psychology Research (49–65). Springer.

Refereed Journal Articles (*Corresponding Author)

1.       de la Torre, J.*, Qiu, X.-L., & Santos, C. K. (2025). The generalized cognitive diagnosis model framework for polytomous attributes. Psychometrika. https://doi.org/10.1017/psy.2024.16

2.       Qiu, X.-L.*, & Cloney, D. (2005). A tutorial on analysis of multidimensional forced-choice items using Rasch ipsative models with ConQuest. Journal of Applied Measurement.

3.       Qiu, X.-L., Jin, Y., Wu, J.*, Li, W., & Guo, J. (2024). Comparing the impact of COVID-19 on student mathematics achievement: A multilevel machine learning analysis of PISA 2022. https://doi.org/10.21203/rs.3.rs-5068619/v1

4.       Jin, Y., Qiu, X.-L.*, Wu, J., Guo, J., Li, W., & Wang, Y.-G. (2024). Integration of behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study. arXiv. http://arxiv.org/abs/2406.11847

5.       Qiu, X.-L.*, & de la Torre, J. (2024). A systematic review of forced-choice measures and item response theory modelling. Journal of Applied Measurement.

6.       Qiu, X.-L.*, de la Torre, J., Wang, Y.-G., & Wu, J. (2024). Item response theory models for polytomous multidimensional forced-choice items to measure construct differentiation. Educational Measurement: Issues and Practice, 43(4), 157–168. https://doi.org/10.1111/emip.12621

7.       Yang, Y., Gao, Y., Ding, Z., Wu, J.*, Zhang, S., Han, F., Qiu, X.-L., Gao, S., & Wang, Y.-G. (2024). Advancements in Q-learning meta-heuristic optimization algorithms: A survey. WIREs Data Mining and Knowledge Discovery. http://doi.org/10.1002/widm.1548

8.        Qiu, X.-L.*, Huang, S.-Y., Wang, W.-C., & Wang, Y.-G. (2023). An iterative scale purification procedure on lz for the detection of aberrant responses. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2211564

9.       Qiu, X.-L.*, & de la Torre, J. (2023). A dual process item response theory model for polytomous multidimensional forced-choice items. British Journal of Mathematical and Statistical Psychology, 76(3), 491–512. https://doi.org/10.1111/bmsp.12303

10.    Qiu, X.-L.*, de la Torre, J., Ro, S., & Wang, W.-C. (2022). Computerized adaptive testing for ipsative tests with multidimensional pairwise-comparison items: Algorithm development and applications. Applied Psychological Measurement, 46(4), 255–272. https://doi.org/10.1177/01466216221084209

11.    Qiu, X.-L., & Leung, F. K. S.* (2022). Equity in mathematics education in Hong Kong: Evidence from TIMSS 2011 and 2019. Large-scale Assessments in Education. 10.1186/s40536-022-00121-z

12.    Qiu, X.-L.*, Chiu, M.-M., Wang, W.-C., & Chen, P.-H. (2022). A new item response theory model for rater centrality using a hierarchical rater model approach. Behavior Research Methods, 54, 1854–1868. https://doi.org/10.3758/s13428-021-01699-y

13.    de la Torre, J.*, Qiu, X.-L., & Santos, C. K. (2021). An empirical Q-matrix validation method for the polytomous G-DINA model, Psychometrika, 87, 693–724. https://doi.org/10.1007/s11336-021-09821-x

14.    Qiu, X.-L.*, & Wang, W.-C. (2021). Assessment of differential statement functioning in ipsative tests with multidimensional forced-choice items. Applied Psychological Measurement, 45(2), 79–94. https://doi.org/10.1177/0146621620965739

15.    Qiu, X.-L.* (2020). Assessing differential statement functioning in polytomous multidimensional pairwise comparison items. Journal of Applied Measurement, 21(3), 329–346.

16.     Li, T.*, Tsang, H.-L., Fung, H., Qiu, X.-L., & Wang, W.-C. (2020). Measuring dynamic goals for marriage: Development and validation of the marital goal scale using Rasch modeling. Psychological Assessment, 32(3), 211–226. https://doi.org/10.1037/pas0000779

17.     Yan, Z.*, Brown, G., Lee, C. K., & Qiu, X.-L. (2020). Student self-assessment: Why do they do it? Educational Psychology: An International Journal of Experimental Educational Psychology, 40(4), 509–532. https://doi.org/10.1080/01443410.2019.1672038

18.     Wang, W.-C., & Qiu, X.-L.* (2019). Multilevel modeling of cognitive diagnostic assessment: The multilevel DINA example. Applied Psychological Measurement, 43(1), 34–50. https://doi.org/10.1177/0146621618765713

19.     Liu, C.-W.*, Qiu, X.-L., & Wang, W.-C. (2019). Item response theory modeling for examinee-selected items with rater effects. Applied Psychological Measurement, 43(6), 435–448. https://doi.org/10.1177/0146621618798667

20.     Wang, W.-C.*, Qiu, X.-L., Chen, C.-W., Ro, S., & Jin, K.-Y. (2017). Item response theory models for ipsative tests with multidimensional pairwise-comparison items. Applied Psychological Measurement, 41(8), 600–613. https://doi.org/10.1177/0146621617703183

21.     Wang, W.-C.*, Su, C.-M., & Qiu, X.-L. (2014). Item response models for local dependence among multiple ratings. Journal of Educational Measurement, 51(3), 260–280. https://doi.org/10.1111/jedm.12045

22.     Leong, S.*, & Qiu, X.-L. (2013). Designing a ‘creativity and assessment scale’ for arts education. Educational Psychology: An International Journal of Experimental Educational Psychology, 33(5), 596–615. https://doi.org/10.1080/01443410.2013.827154

23.     Wang, W.-C.*, & Qiu, X.-L. (2013). A multidimensional and multilevel extension of a random-effect approach to subjective judgment in rating scales. Multivariate Behavioral Research, 48(3), 398–427. https://doi.org/10.1080/00273171.2013.784861

24.     Wang, W.-C.*, Jin, K.-Y., Qiu, X.-L., & Wang, L. (2012). Item response models for examinee-selected items. Journal of Educational Measurement, 49(4), 419–445. https://www.jstor.org/stable/23353879

Patents

Qiu, Xuelan. 2024. Method and Online Adaptive Testing System for Ipsative Assessment of Career Interest. HKSAR Patent 30110100 A, filed 12 August, 2024, and issued 15 November, 2024.

Research Funding / Grants

1. Patent Application Grant, Hong Kong Productivity Council, HK$250,000, 02/2025-02/2028, PI (Title of Project: Advancing Patentization of Method and Online Adaptive Testing System for Ipsative Assessment of Career Interest)

2. Faculty Research Fund (Sub-scheme B for cross-strait four regions related research), The University of Hong Kong, HK$150,000, 12/2021~11/2022, PI (Title of Project: Leveraging AI for Education: Integrating Adaptive Formative Assessment and Noncognitive Assessment to Initiate Personalized Learning)

3. Faculty Research Fund (Sub-scheme A for general research), The University of Hong Kong, HK$60,000, 11/2019~12/2020, PI (Title of Project: Ipsative Assessments for Career Interests: Model Validation, Test Fairness, and Computerized Adaptive Testing)

4. Dean's Research Fund, The Education University of Hong Kong, HK$198,000, 05/2019~04/2020, Co-I (Title of Project: Developing Item Response Models with Copula Models for Data with Local Item Dependence PI: Dr Ling Man Ho Alpha [EdUHK])

5. National Science Foundation, Co-I (Title of Project: General Cognitive Diagnosis Models: Development, Estimation and Applications. PI: Dr Wen-Chao Ma [University of Minnesota])

學術獎項Awards / Recognitions

Best Paper Award (with Ms. Lee S.-M.) at the 2018 Cross-Strait Conference on Educational and Psychological Testing and the Chinese Association of Psychological Testing Annual Conference (Title of Paper: Assessment of Ability of Persons with ASD in Adaptation of Daily Routines: A Rasch Approach)

International Research Network for Social Metacognition and Big Data, World Education Research Association, 2019

 

專業屬會Member:

2008-至今, 美國教育研究學會

2008-至今, 國家教育測量委員會

2008-至今, 國際心理計量協會

 

2008-present, American Educational Research Association (AERA)

2008-present, National Council on Measurement in Education (NCME)

2008-present, Psychometric Society

 

服務Service:

AERA Division D 執行委員會成員及傑出論文獎遴選委員會主席

Chair of Outstanding Dissertation Awards Committee and Executive Committee Member of Division D, American Educational Research Association (AERA)

 

Associate Editor 副主編

Journal of Applied Measurement




 
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