نتائج البحث

Cultural Stereotypes and Sense of Belonging Contribute to Gender Gaps in STEM

• Authors : Master, Allison H.; Meltzoff, Andrew N.

• Source: Grantee Submission. 2020 12(1):152-198.

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What Is Important for Female and Minorities to Achieve Success in Academia?

• Authors : Rodrigues, Debora F. (ORCID 0000-0002-3124-1443); Nadres, Enrico T.; Cutright, Teresa

• Source: Grantee Submission. 2022.

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G[superscript 2]ROW STEM: Girls and Guys Realizing Opportunities with STEM

• Authors : Snyder, Catherine; Stevenson, Olivia; The Evaluation Group (TEG)

• Source: Grantee Submission. 2021.

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Peer-Led Team Learning is Associated with an Increased Retention Rate for STEM Majors from Marginalized Groups

• Authors : Sloane, Jeremy D.; Dunk, Ryan D. P.; Snyder, Julia J.

• Source: Grantee Submission. 2021Paper presented at the Annual Research Symposium of the National Association of Biology Teachers (13th, 2021).

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Gender Stereotypes about Interests Start Early and Cause Gender Disparities in Computer Science and Engineering

• Authors : Master, Allison (ORCID 0000-0001-6708-6353); Meltzoff, Andrew N. (ORCID 0000-0001-8683-0547); Cheryan, Sapna (ORCID 0000-0002-0576-9199)

• Source: Grantee Submission. Article e2100030118 2021 118(48):P-P.

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Evaluation of Project HEAL[superscript 2]: Health Education for ALL. Prepared for the U.S. Department of Education Investing in Innovation Fund (i3)

Subjects: ACT Assessment

• Source: Grantee Submission. 2021.

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A Social Network Analysis of Online Engagement for College Students Traditionally Underrepresented in STEM

• Authors : Williams-Dobosz, Destiny; Azevedo, Renato Ferreira Leitão; Jeng, Amos

• Source: Grantee Submission. 2021.

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College Students' Reasons for Leaving Biomedical Fields: Disenchantment with Biomedicine or Attraction to Other Fields

• Authors : Rosenzweig, Emily Q. (ORCID 0000-0001-6228-1029); Harackiewicz, Judith M.; Hecht, Cameron A.

• Source: Grantee Submission. 2020.

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Looking into Gateway: Expectancy-Value Profiles Predict Undergraduates' Intent to Persist in Physics after Introductory Course

• Authors : Gao, Yannan; Dicke, Anna-Lena; Safavian, Nayssan

• Source: Grantee Submission. 2020 (pted).

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Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis

• Authors : Valdiviejas, Hannah; Bosch, Nigel

• Source: Grantee Submission. 2020Paper presented at the International Conference on Educational Data Mining (13th, 2020).

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