Research output per year
Research output per year
Fingerprint
Dive into the research topics where Yi Zheng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Case study of the use of learner-centered assessment in the math school of a large university in the United States
Zheng, Y., Van Vliet, F. & Jin, J. I., 2024, In: Educational Research and Evaluation. 29, 7-8, p. 476-494 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluating the current state of evolution acceptance instruments: a research coordination network meeting report
Barnes, M. E., Aini, R. Q., Collins, J. P., Dunk, R. D. P., Holt, E. A., Jensen, J., Klein, J. R., Misheva, T., Nadelson, L. S., Reiss, M. J., Romine, W. L., Shtulman, A., Townley, A. L., Wiles, J. R., Zheng, Y. & Brownell, S. E., Dec 2024, In: Evolution: Education and Outreach. 17, 1, 1.Research output: Contribution to journal › Review article › peer-review
Open Access2 Scopus citations -
MxML (Exploring the Relationship between Measurement and Machine Learning): Current State of the Field
Zheng, Y., Nydick, S., Huang, S. & Zhang, S., Mar 1 2024, In: Educational Measurement: Issues and Practice. 43, 1, p. 19-38 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Utilizing Response Time for Item Selection in On-the-Fly Multistage Adaptive Testing for PISA Assessment
Tang, X., Zheng, Y., Wu, T., Hau, K. T. & Chang, H. H., 2024, (Accepted/In press) In: Journal of Educational Measurement.Research output: Contribution to journal › Article › peer-review
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BAYESIAN DECISION THEORY FOR TREE-BASED ADAPTIVE SCREENING TESTS WITH AN APPLICATION TO YOUTH DELINQUENCY
Krantsevich, C., Hahn, P. R., Zheng, Y. & Katz, C., Jun 2023, In: Annals of Applied Statistics. 17, 2, p. 1038-1063 26 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Projects
- 4 Finished
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A large-scale systematic exploration of the impact of culturally competent evolution education
Brownell, S. (PI) & Zheng, Y. (CoI)
National Science Foundation (NSF)
10/1/18 → 9/30/24
Project: Research project
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Developing an Extension of the TELL Curriculum for Three-Year-Old Children with Developmental Speech and/or Language Impairment
Gray, S. (PI), Wilcox, J. (CoI) & Zheng, Y. (CoI)
US Department of Education (DOEd)
7/1/18 → 6/30/23
Project: Research project
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Secondary Violence Prevetion Activity (SVPA) Proponte Mas
Katz, C. (PI) & Zheng, Y. (CoI)
US Agency for International Development (USAID)
5/15/16 → 8/31/19
Project: Research project
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Psychometric Advisory for Maricopa Community Colleges Math Diagnostic Assessment Project
Zheng, Y. (PI)
OTHER: Domestic Non-ABOR University
3/1/16 → 6/30/16
Project: Research project
Datasets
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Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y. (Creator), Cheon, H. (Contributor) & Katz, C. M. (Creator), figshare SAGE Publications, 2020
DOI: 10.25384/sage.c.5029571.v1, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571/1
Dataset
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Honduras_tree_APM_online_supplement_V4_for_publisher – Supplemental material for Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y. (Contributor), Cheon, H. (Contributor) & Katz, C. M. (Contributor), figshare SAGE Publications, Jan 1 2020
DOI: 10.25384/sage.12514493.v1, https://doi.org/10.25384%2Fsage.12514493.v1
Dataset
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Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y. (Creator), Cheon, H. (Creator) & Katz, C. M. (Creator), SAGE Journals, 2020
DOI: 10.25384/sage.c.5029571.v1, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571/1
Dataset
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MOESM1 of Different evolution acceptance instruments lead to different research findings
Holt, E. A. (Contributor), Barnes, M. E. (Contributor), Zheng, Y. (Contributor), Brownell, S. E. (Contributor) & Dunlop, H. M. (Contributor), figshare Academic Research System, Jan 1 2019
DOI: 10.6084/m9.figshare.7654028.v1, https://doi.org/10.6084%2Fm9.figshare.7654028.v1
Dataset
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Different evolution acceptance instruments lead to different research findings
Barnes, M. E. (Creator), Dunlop, H. M. (Creator), Holt, E. A. (Creator), Zheng, Y. (Creator) & Brownell, S. E. (Creator), figshare Academic Research System, 2019
DOI: 10.6084/m9.figshare.c.4384547.v1, https://springernature.figshare.com/collections/Different_evolution_acceptance_instruments_lead_to_different_research_findings/4384547/1
Dataset