Publications

† indicates corresponding authorship.

Book

  1. Xiong, X., Shermis, M., & Xiong, J. (Eds.). (2027). The role of AI in assessment: Revolutionizing education. Routledge Taylor & Francis. ISBN 9781041028031. https://doi.org/10.4324/9781003621522

Refereed Journal Articles

  1. Xiong, J. & Li, F.† (2026). A decade of reflection and thematic review on artificial intelligence's impact on educational measurement. Educational Research Review, 51, 100789. https://doi.org/10.1016/j.edurev.2026.100789
  2. Xiong, J.†, Kuang, H., Tang, C., Liu, Q., Wang, B., Engelhard, G., Cohen, A. S., Xiong, X. & Sheng, R. (2026). A topic testlet model for calibrating testlet constructed responses. Journal of Educational Measurement, 63, 1. https://doi.org/10.1111/jedm.70001
  3. Xiong, J.†, Wang, S., Tang, C., Liu, Q., Sheng, R., Wang, B., Kuang, H., Cohen, A. S., & Xiong, X. (2026). Sequential reservoir computing for log file-based behavior process data analyses. Journal of Educational Measurement, 63, 1. https://doi.org/10.1111/jedm.12413
  4. Tang, C., Engelhard, G.†, Liu, Y., & Xiong, J. (2026). A dual-model framework for writing assessment: a cross-sectional interpretive machine learning analysis of linguistic features. Data, 11(1), 2. https://doi.org/10.3390/data11010002
  5. Xu, H., Xiong, J., & Li, F.† (2025). A hidden Markov hierarchical model for detecting insufficient effort responses in questionnaires. Behavior Research Methods, 57, 347. https://doi.org/10.3758/s13428-025-02888-9
  6. Tang, C., Xiong, J.†, & Engelhard, G. (2025). Identification of writing strategies in educational assessments with an unsupervised learning measurement framework. Education Sciences, 15(7), 912. https://doi.org/10.3390/educsci15070912
  7. Xiong, J.†, Liu, Q., Tang, C., Wang, B. & Cohen, A. S. (2025). Improving the measurement of students' composite ability score in mixed-format assessments. Education Sciences, 15(3), 374. https://doi.org/10.3390/educsci15030374
  8. Wang, B.†, Huggins-Manley, A., Kuang, H., & Xiong, J. (2025). Enhancing effort-moderated item response theory models by evaluating a two-step estimation method and multidimensional variations on the model. Educational and Psychological Measurement, 85(2), 401–423. https://doi.org/10.1177/00131644241280727
  9. Xiong, J.†, Engelhard, G., & Cohen, A. S. (2024). Analysis of mixed-format assessments using measurement models and topic modeling. Measurement: Interdisciplinary Research and Perspectives, 23(2), 101–115. https://doi.org/10.1080/15366367.2023.2298135
  10. Xiong, J.†, Cohen, A. S. & Xiong, X. (2023). Sequential Bayesian ability estimation applied to mixed-format item tests. Applied Psychological Measurement, 47(5–6), 402–419. https://doi.org/10.1177/01466216231201986
  11. Xiong, J., & Li, F.† (2023). Bi-level multi-dimensional automated scoring of topic model based multi-task learning for constructed-responses. Educational Measurement: Issues and Practice, 42(2), 42–61. https://doi.org/10.1111/emip.12550
  12. Ma, Y., Liu, M., Zhang, X., Zhao, T., Zheng, Y., Xiong, J., Muhammad, M., Song, Z., Wang, W., Yang, S.†, & Zhao, Y.† (2026). Advanced aqueous Zn-Halogen batteries with multi-electron transfer chemistry catalyzed by organic compounds: insights into mechanisms and prospects. Journal of Materials Chemistry A. https://doi.org/10.1039/D5TA08175K
  13. Liu, Q.†, Bian, Y., & Xiong, J. (2025). Progress in passive silicon photonic devices: a review. Photonics, 12(9), 928. https://doi.org/10.3390/photonics12090928
  14. Li, X., Deng, C., Liu, M., Xiong, J., Zhang, X., Yan, Q., Lin, J., Chen, C., Wu, F., Zhao, Y., Chen, R. & Li, L. (2025). Reutilization and upcycling of spent graphite for sustainable lithium-ion batteries: progress and perspectives. eScience, 100394. https://doi.org/10.1016/j.esci.2025.100394
  15. Zhao, Y., Wang, Y., Li, J., Xiong, J., Li, Q., Abdalla, K. K., Zhao, Y.†, Cai, Z.†, Sun, X.† (2024). Thermodynamic and kinetic insights for manipulating aqueous Zn battery chemistry: towards future grid-scale renewable energy storage systems. eScience, 100331. https://doi.org/10.1016/j.esci.2024.100331
  16. Wang, Y., Li, Q., Xiong, J., Yu, L., Li, Q., Lv, Y., Abdalla, K. K., Wang, R., Li, X., Zhao, Y.†, & Sun, X.† (2024). High-performance vanadium oxide-based aqueous zinc batteries: organic molecule modification, challenges, and future prospects. EcoEnergy, 2(4), 652–678. https://doi.org/10.1002/ece2.69
  17. Ma, Y., Song, X., Hu, W., Xiong, J., Chu, P., Fan, Y., Zhang, B., Zhou, H., Liu, C. & Zhao, Y.† (2024). Recent progress and perspectives of advanced Ni-based cathodes for aqueous alkaline Zn batteries. Frontiers in Chemistry, 12, 1483867. https://doi.org/10.3389/fchem.2024.1483867
  18. Wang, Y., Jin, X., Xiong, J., Zhu, Q., Li, Q., Wang, R., Fan, Y., Zhao, Y.†, & Sun, X.† (2024). Ultrastable electrolytic Zn–I2 batteries based on nanocarbon wrapped by highly efficient single-atom Fe-NC iodine catalysts. Advanced Materials, 36(30), 2404093. https://doi.org/10.1002/adma.202404093
  19. Li, Q., Abdalla, K. K., Xiong, J., Song, Z., Wang, Y., Zhao, Y., Liu, M., Fan, Y., Zhao, Y.†, & Sun, X.† (2024). High-energy and durable aqueous Zn batteries enabled by multi-electron transfer reactions. Energy Materials, 4(4). https://doi.org/10.20517/energymater.2024.12
  20. Abdalla, K. K., Wang, Y., Abdalla, K. K., Xiong, J., Li, Q., Wang, B., Sun, X.†, & Zhao, Y.† (2024). Rational design and prospects of better aqueous Zn-organic batteries enabled by multi-electron redox reactions. Science China Materials, 67(5), 1367–1378. https://doi.org/10.1007/s40843-023-2772-5
  21. Wang, Y., Li, Q., Li, Q., Zhao, Y., Khasraw, A. K., Xiong, J., Zhao, Y.†, & Sun, X.† (2023). Design strategies and challenges of next generation aqueous Zn-organic batteries. Next Energy, 1(4), 100061. https://doi.org/10.1016/j.nxener.2023.100061
  22. Sun, J., Wu, S.†, Yang, S. Z., Li, Q., Xiong, J., Yang, Z., ... & Sun, L. (2018). Enhanced photocatalytic activity induced by sp3 to sp2 transition of carbon dopants in BiOCl crystals. Applied Catalysis B: Environmental, 221, 467–472. https://doi.org/10.1016/j.apcatb.2017.09.037
  23. Wu, S.†, Xiong, J.†, Sun, J., Hood, Z. D., Zeng, W., Yang, Z., Gu, L., Zhang, X. & Yang, S. Z. (2017). Hydroxyl-dependent evolution of oxygen vacancies enables the regeneration of BiOCl photocatalyst. ACS Applied Materials & Interfaces, 9(19), 16620–16626. https://doi.org/10.1021/acsami.7b01701

Book Chapters

  1. Jiao, H.† & Xiong, J. (2026). The evolving landscape of modern psychometrics: computational psychometrics in educational assessment. In E. Tucker & M. E. Oliveri (Eds.), Modeling What Matters: The Research and Legacy of Robert J. Mislevy. NC: Taylor & Francis/Routledge.
  2. Jiao, H.†, Xiong, J., & Lnu, C. (2026). Machine Learning-Based Methods for Cheating Detection in Large-Scale Assessments. In Xiong, X., Shermis, M. & Xiong, J. (Eds.), The Role of AI in Assessment: Revolutionizing Education. NC: Taylor & Francis/Routledge. https://doi.org/10.4324/9781003621522-10
  3. Xiong, J.†, Kuang, H., Tang, C., Wang, B., & Liu, Q. (2026). Artificial Neural Networks for Educational Data Mining and Prediction. In Wilson, M. L., Tawfik, A., & Ritzhaupt, A. (Eds.), Quantitative Methods in Educational Research: Concepts and Applications. EdTech Books.
  4. Kuang, H.†, Xiong, J., Tang, C., & Wang, B. (2026). Decision Trees and Random Forests. In Wilson, M. L., Tawfik, A., & Ritzhaupt, A. (Eds.), Quantitative Methods in Educational Research: Concepts and Applications. EdTech Books.
  5. Mardones, C.†, Yang, Y., Tang, C., Xiong, J., Wang, S., & Cohen, A. (2026). Modern NLP Pipeline in Educational Measurement: From Text Analysis to Scoring and Reasoning. In Xiong, X., Shermis, M. & Xiong, J. (Eds.), The Role of AI in Assessment: Revolutionizing Education. https://doi.org/10.4324/9781003621522-6

Conference Proceedings

  1. Kuang, H.†, Bulut, O., Xiong, J., Botelho, A., & Kern, J. (2026). Seeing How Students Think: Enhancing Assessment Through Learning Analytics of Behavioral Log and Response Modeling. Companion Proceedings 16th International Conference on Learning Analytics & Knowledge (LAK26). Proceedings PDF
  2. Xiong, J.†, Wheeler, J. M., Choi, H.-J. & Cohen, A. S. (2022). A bi-level individualized adaptive learning recommendation system based on topic modeling. In Quantitative Psychology (pp. 121–140). Springer, Cham. https://doi.org/10.1007/978-3-031-04572-1_10
  3. Wheeler, J. M.†, Xiong, J., Mardones, C., Choi, H.-J. & Cohen, A. S. (2022). An Investigation of Prior Specification on Parameter Recovery for Latent Dirichlet Allocation of Constructed-Response Items. In Quantitative Psychology (pp. 203–215). Springer, Cham. https://doi.org/10.1007/978-3-031-04572-1_15
  4. Xiong, J.†, Wheeler, J. M., Choi, H. J., Lee, J. & Cohen, A. S. (2021). An empirical study of developing automated scoring engine using supervised latent Dirichlet allocation. In Quantitative Psychology (pp. 429–438). Springer, Cham. https://doi.org/10.1007/978-3-030-74772-5_38
  5. Wheeler, J. M.†, Cohen, A. S., Xiong, J., Lee, J., & Choi, H. J. (2021). Sample size for latent Dirichlet allocation of constructed-response items. In Quantitative Psychology (pp. 263–273). Springer, Cham. https://doi.org/10.1007/978-3-030-74772-5_24
  6. Kim, S. H.†, Duong, E., Mardones, C., Schellman, M., Wheeler, J. M., Xiong, J., Zheng, G., Zor, S., & Cohen, A. S. (2021). Priors in Bayesian estimation under the two-parameter logistic model. In Quantitative Psychology (pp. 309–323). Springer, Cham. https://doi.org/10.1007/978-3-030-74772-5_28
  7. Xiong, J.†, Choi, H.-J., Kim, S., Kwak, M., & Cohen, A. S. (2019). Topic modeling of constructed-response answers on social study assessments. In The Annual Meeting of the Psychometric Society (pp. 263–274). Springer, Cham. https://doi.org/10.1007/978-3-030-43469-4_20
  8. Choi, H.-J.†, Kwak, M., Kim, S., Xiong, J., Cohen, A. S., & Bottge, B. A. (2019). An application of a topic model to two educational assessments. In Quantitative Psychology (pp. 449–459). Springer, Cham. https://doi.org/10.1007/978-3-030-01310-3_38

R Packages

  1. Xiong, J.†, Tang, C., Liu, Q. (2026). TIRT: Testlet Item Response Theory (Version 0.3.1) [R package]. CRAN
  2. Xiong, J.†, Tang, C., Liu, Q. (2025). TopicTestlet: A Topic Testlet Model for Calibrating Testlet Constructed Responses (Version 0.1.0) [R package]. CRAN

Dissertation

  1. Xiong, J. (2022). Exploratory Process Data Analysis in the Mixed-format Assessment: Using Reservoir Computing and Topic Modeling. The University of Georgia. ProQuest