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Showing 1 to 15 of 37 results Save | Export
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Edelsbrunner, Peter A.; Malone, Sarah; Hofer, Sarah I.; Küchemann, Stefan; Kuhn, Jochen; Schmid, Roman; Altmeyer, Kristin; Brünken, Roland; Lichtenberger, Andreas – International Journal of STEM Education, 2023
Background: Representational competence is commonly considered a prerequisite for the acquisition of conceptual knowledge, yet little exploration has been undertaken into the relation between these two constructs. Using an assessment instrument of representational competence with vector fields that functions without confounding topical context, we…
Descriptors: Undergraduate Students, Gender Differences, Disproportionate Representation, Competence
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Padwick, Annie; Dele-Ajayi, Opeyemi; Davenport, Carol; Strachan, Rebecca – International Journal of STEM Education, 2023
Background: STEM education providers increasingly use complex intervention models to redress persistent under-representation in STEM sectors. These intervention models require robust evaluation to determine their effectiveness. The study examines a complex, sustained intervention intended to build science capital in young people aged 11-15 over…
Descriptors: STEM Education, Learner Engagement, Foreign Countries, Intervention
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Wong, Billy; Chiu, Yuan-Li Tiffany; Murray, Órla Meadhbh; Horsburgh, Jo – International Journal of STEM Education, 2022
Background: The analogy of the leaky pipeline has been used to describe STEM education, with lower student diversity from compulsory to post-compulsory education and beyond. Although extensive research has explored the views and experiences of school-aged children about STEM, fewer studies have examined the career intentions of STEM students at…
Descriptors: Occupational Aspiration, Disproportionate Representation, STEM Education, Undergraduate Students
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Antje Stefani; Ralf Minor; Kathrin Leuze; Susanne Strauss – International Journal of STEM Education, 2024
Background: Despite a well-documented underrepresentation of women in STEM majors and occupations, empirical evidence on whether there really is a "leaky STEM pipeline" is mixed due to a lack of methodological consistency. Studies vary by (1) the definition of STEM, (2) the decision to measure choices alone or to also include…
Descriptors: Disproportionate Representation, Females, STEM Education, STEM Careers
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Cassondra Batz-Barbarich; Nicole Strah; Louis Tay – International Journal of STEM Education, 2024
Background: Women are underrepresented in the field of engineering within academic and professional settings. Based upon premises outlined by social role theory and goal congruity theory, a key factor that contributes to this underrepresentation is a gendered societal belief that there is a disconnect between engineering (seen as more agentic, or…
Descriptors: Engineering Education, Disproportionate Representation, Technical Occupations, Engineering
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Svetlana Masjutina; Elizabeth Stearns – International Journal of STEM Education, 2025
Background: Students from low-socioeconomic status backgrounds (LSES) are underrepresented in STEM education, including in the biological sciences. As one of the foundational STEM disciplines, biology represents an interesting case study in that women earn the most undergraduate degrees, a trend that holds across racial/ethnic groups. However,…
Descriptors: Undergraduate Students, Socioeconomic Status, Low Income Students, STEM Education
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Copur-Gencturk, Yasemin; Thacker, Ian; Cimpian, Joseph R. – International Journal of STEM Education, 2023
Background: Women and people of color continue to be underrepresented in many STEM fields and careers. Many studies have linked societal biases against the mathematical abilities of women and people of color to this underrepresentation, as well as to earlier measures of mathematical confidence and performance. Recent studies have shown that…
Descriptors: Gender Bias, Racism, Disproportionate Representation, Minority Group Students
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Gabrielle Rabinowitz; Katherine S. Moore; Safinah Ali; Mark Weckel; Irene Lee; Preeti Gupta; Rachel Chaffee – International Journal of STEM Education, 2025
This study evaluates the effectiveness of a machine learning (ML) integrated science curriculum implemented within the Science Research Mentorship Program (SRMP) for high school youth at the American Museum of Natural History (AMNH) over 2 years. The 4-week curriculum focused on ML knowledge gain, skill development, and self-efficacy, particularly…
Descriptors: High School Students, Museums, Science Teaching Centers, Artificial Intelligence
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Jessica Sperling; Menna Mburi; Megan Gray; Lorrie Schmid; Ann Saterbak – International Journal of STEM Education, 2024
Background: Students' academic self-efficacy maximizes likelihood for success and retention, yet prior research suggests that historically underrepresented (minoritized) undergraduate students in higher education and in college-level engineering show lower self-efficacy, which has been linked to histories of systemic exclusion. To address such…
Descriptors: Engineering Education, Design, College Freshmen, Self Efficacy
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Ambrosino, Christine M.; Rivera, Malia Ana J. – International Journal of STEM Education, 2022
Background: Students from historically excluded groups face many pedagogical, societal, and institutional barriers that lead to disproportionately lower levels of entering and higher levels of attrition from Science, Technology, Engineering, and Math (STEM) undergraduate programs. Student experiences within a STEM learning environment play a large…
Descriptors: Marine Education, Undergraduate Study, Disproportionate Representation, STEM Education
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Anfuso, Chantelle; Awong-Taylor, Judy; Curry Savage, Jamye; Johnson, Cynthia; Leader, Tirza; Pinzon, Katherine; Shepler, Benjamin; Achat-Mendes, Cindy – International Journal of STEM Education, 2022
Background: Supplemental instruction (SI) is a well-established mode of direct academic support, used in a wide variety of courses. Some reports have indicated that SI and similar peer-led academic support models particularly benefit students identifying with historically underserved racial/ethnic groups in STEM. However, these studies have not…
Descriptors: College Students, Disproportionate Representation, Minority Group Students, College Readiness
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Wang, Ning; Tan, Aik-Ling; Zhou, Xiaohong; Liu, Ke; Zeng, Feng; Xiang, Jiong – International Journal of STEM Education, 2023
Background: Females are underrepresented in Science, Technology, Engineering, and Mathematics (STEM) fields all over the world. To encourage more girls to choose STEM majors and careers, it is critical to increase their interest in STEM careers. Many studies have investigated the factors that influence females' entry into STEM fields, but few…
Descriptors: Gender Differences, Disproportionate Representation, STEM Education, Womens Education
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Gladstone, Jessica R.; Cimpian, Andrei – International Journal of STEM Education, 2021
Is exposing students to role models an effective tool for diversifying science, technology, engineering, and mathematics (STEM)? So far, the evidence for this claim is mixed. Here, we set out to identify systematic sources of variability in STEM role models' effects on student motivation: If we determine "which role models" are effective…
Descriptors: Role Models, Program Effectiveness, Literature Reviews, STEM Education
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Yadav, Aman; Seals, Christopher – International Journal of STEM Education, 2019
Background: In the USA, 28.5% of the population is considered underrepresented minority (URM) population; however, fewer than 8 % of US' research faculty in science, technology, engineering, and mathematics (STEM) disciplines are minorities (National Research Council, Expanding underrepresented minority participation: America's science and…
Descriptors: Postdoctoral Education, Fellowships, Workshops, STEM Education
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Thomas, Danielle R.; Larwin, Karen H. – International Journal of STEM Education, 2023
Background: Integrated science, technology, engineering, and mathematics (STEM) education initiatives are becoming an increasingly popular approach to narrow the opportunity gap among underrepresented minority (i.e., Black, Hispanic, and first-generation) students. However, there are limited studies on the impact of exposure to integrated STEM…
Descriptors: Meta Analysis, Middle School Students, Minority Group Students, STEM Education
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