Research output per year
Research output per year
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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.
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A new measure of students’ perceived conflict between evolution and religion (PCoRE) is a stronger predictor of evolution acceptance than understanding or religiosity
Elizabeth Barnes, M., Supriya, K., Zheng, Y., Roberts, J. A. & Brownell, S. E., Sep 1 2021, In: CBE life sciences education. 20, 3, ar42.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
An exploration across institution types of undergraduate life sciences student decisions to stay in or leave an academic-year research experience
Gin, L. E., Clark, C. E., Elliott, D. B., Roderick, T. B., Scott, R. A., Arellano, D., Ramirez, D., Vargas, C., Velarde, K., Aeschliman, A., Avalle, S. T., Berkheimer, J., Campos, R., Gerbasi, M., Hughes, S., Roberts, J. A., White, Q. M., Wittekind, E., Zheng, Y., Cooper, K. M., & 1 others, Sep 1 2021, In: CBE life sciences education. 20, 3, ar47.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Aspects of large-enrollment online college science courses that exacerbate and alleviate student anxiety
Mohammed, T. F., Nadile, E. M., Busch, C. A., Brister, D., Brownell, S. E., Claiborne, C. T., Edwards, B. A., Wolf, J. G., Lunt, C., Tran, M., Vargas, C., Walker, K. M., Warkina, T. D., Witt, M. L., Zheng, Y. & Cooper, K. M., Dec 1 2021, In: CBE life sciences education. 20, 4, ar69.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Call on me! Undergraduates’ perceptions of voluntarily asking and answering questions in front of large-enrollment science classes
Nadile, E. M., Alfonso, E., Barreiros, B. M., Bevan-Thomas, W. D., Brownell, S. E., Chin, M. R., Ferreira, I., Ford, S. A., Gin, L. E., Gomez-Rosado, J. O., Gooding, G., Heiden, A., Hutt, A. E., King, M. L., Perez, S. G., Rivera Camacho, Y. I., Salcedo, F., Sellas, C. F., Sinda, K. A., Stahlhut, K. N., & 5 others, Jan 2021, In: PloS one. 16, 1 January, e0243731.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
Gender differences in student comfort voluntarily asking and answering questions in large-enrollment college science courses
Nadile, E. M., Williams, K. D., Wiesenthal, N. J., Stahlhut, K. N., Sinda, K. A., Sellas, C. F., Salcedo, F., Rivera Camacho, Y. I., Perez, S. G., King, M. L., Hutt, A. E., Heiden, A., Gooding, G., Gomez-Rosado, J. O., Ford, S. A., Ferreira, I., Chin, M. R., Bevan-Thomas, W. D., Barreiros, B. M., Alfonso, E., & 2 others, Sep 1 2021, In: Journal of Microbiology and Biology Education. 22, 2, e00100-21.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations
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A large-scale systematic exploration of the impact of culturally competent evolution education
National Science Foundation (NSF)
10/1/18 → 9/30/23
Project: Research project
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Secondary Violence Prevetion Activity (SVPA) Proponte Mas
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
OTHER: Domestic Non-ABOR University
3/1/16 → 6/30/16
Project: Research project
Datasets
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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. (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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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. (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. (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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Different evolution acceptance instruments lead to different research findings
Barnes, M. E. (Contributor), Dunlop, H. M. (Creator), Holt, E. A. (Creator), Zheng, Y. (Creator) & Brownell, S. (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