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Vinay Kumar Yadav; Shakti Prasad – Measurement: Interdisciplinary Research and Perspectives, 2024
In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…
Descriptors: Sampling, Statistical Bias, Predictor Variables, Predictive Measurement
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Yosef A. Gil Karo – Inquiry: The Journal of the Virginia Community Colleges, 2024
This Notes in Brief contribution explores the use of autosomal DNA to engage college faculty and staff in a different approach to diversity and inclusion discussions, including antisemitism, on campuses. The author provides results from DNA testing and how he has used his results to discuss his common ancestry with students to build bridges as a…
Descriptors: Inclusion, Genetics, College Faculty, Professional Personnel
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Anne E. Riggs; Antonya Marie Gonzalez – Developmental Science, 2024
How does the representation of boy and girl exemplars in curricular materials affect students' learning? We tested two competing hypotheses about the impact of gender exemplar on learning: First, in line with Social Learning Theory, children might exhibit a same-gender bias such that they prefer to learn from exemplars that match their gender…
Descriptors: Instructional Materials, Student Characteristics, Sex, Gender Bias
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Zachary W. Petzel; Lynn Farrell; Teresa McCormack; Rhiannon N. Turner; Karen Rafferty; Ioana M. Latu – European Journal of Psychology of Education, 2024
Despite the implementation of equality interventions within higher education, progress towards gender parity in science, technology, engineering, and mathematics (STEM) remains slow. Male educators often exhibit poorer engagement with diversity initiatives, potentially contributing to persisting gender disparities in STEM given men's longstanding…
Descriptors: Social Action, Attitude Change, Self Efficacy, Sex Fairness
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Ryan Corser; Raymond P. Voss Jr.; John D. Jasper – Journal of Numerical Cognition, 2024
Higher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus matching) as well as a better appreciation of large sample sizes. At the same time, we replicated…
Descriptors: Undergraduate Students, Numeracy, Mathematical Concepts, Decision Making
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Nancy Forster-Holt; Phillip G. Clark – Journal of Management Education, 2024
It is important that students across university disciplines and class years explore their attitudes about ageism, aging, and older adults. Yet few if any ageism interventions in academic settings are directed at business students, instead targeting disciplines such as health sciences. In this paper we offer requisite detail of ageism workshops we…
Descriptors: Undergraduate Students, Business Education, Entrepreneurship, Baby Boomers
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S. Kjersti Decker; Michael L. Pate; Tyson J. Sorensen; Michelle S. Burrows; Katie Kraus; Don Edgar – NACTA Journal, 2024
Females are underrepresented in construction and trades, including welding. Studies have shown that female students often face gender-associated challenges due to being enrolled in male-dominated education programs. Similarly, some female teachers in male-dominated disciplines face gender-associated challenges. Yet, little is known if such gender…
Descriptors: College Students, Student Attitudes, Agricultural Education, Agricultural Engineering
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Poornesh M. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
The global pandemic has brought about significant changes in education, which have led to concerns regarding fairness and accessibility in a technology-driven learning environment. This article focuses on the use of Artificial Intelligence (AI) in education and examines the potential for bias in AI-powered tools. By using the example of a…
Descriptors: Artificial Intelligence, Bias, Algorithms, Social Justice
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C. Nakhid; Z. Abu Ali; M. Fu; L. Vano; C. Yachinta; M. Tuwe – Journal of LGBT Youth, 2024
Queer ethnic young people in Aotearoa New Zealand are a multi-marginalized group, many of whom are met with racism and exclusion from a predominantly white queer community. Very little is known about how young ethnic queers in Aotearoa navigate a community that inheres the ideals and structures of racism. This in-depth qualitative study of 43…
Descriptors: LGBTQ People, Racism, Social Bias, Whites
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Joakim Wallmark; James O. Ramsay; Juan Li; Marie Wiberg – Journal of Educational and Behavioral Statistics, 2024
Item response theory (IRT) models the relationship between the possible scores on a test item against a test taker's attainment of the latent trait that the item is intended to measure. In this study, we compare two models for tests with polytomously scored items: the optimal scoring (OS) model, a nonparametric IRT model based on the principles of…
Descriptors: Item Response Theory, Test Items, Models, Scoring
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Andrew D. Ho – Journal of Educational and Behavioral Statistics, 2024
I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for…
Descriptors: Artificial Intelligence, Measurement, Educational Assessment, Technology Uses in Education
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Crystal Eufemia Garcia – Journal of College Student Retention: Research, Theory & Practice, 2024
This qualitative critical narrative inquiry study explored the experiences of 19 students within four universities in a single Southern state that used campus food aid resources such as a food pantry. Using Hurtado et al.'s Multicontextual Model for Diverse Learning Environments (MMDLE), this paper sheds light on how participants discussed the…
Descriptors: Hunger, College Students, Resources, Food
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Akihito Nakamura; Natsumi Isa – Educational Studies in Japan: International Yearbook, 2024
Teachers with gender stereotypes are particularly likely to engage in gender-biased teaching practices and to transmit biased gender norms to students. Examining teachers' gender stereotypes is important for understanding gender transmission in schools and gender inequality in educational attainments. Using data from a questionnaire survey of…
Descriptors: Foreign Countries, Sex Stereotypes, Sex Role, Teacher Attitudes
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Fidelis Awoke Nwokwu; Prisca O. Bob; Ugochi P. Kwekowe – Journal on English Language Teaching, 2024
In the 21st century, one of the major roles of the English language in building a corporate youth image for sustainable development, peace, and security in Nigeria is in the area of creative writing. Many scholars are concerned about domestic violence in African society, particularly in Nigeria, especially in Igbo society, where domestic violence…
Descriptors: Foreign Countries, Family Violence, Creative Writing, Females
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Soojin Park; Xu Qin; Chioun Lee – Sociological Methods & Research, 2024
In the field of disparities research, there has been growing interest in developing a counterfactual-based decomposition analysis to identify underlying mediating mechanisms that help reduce disparities in populations. Despite rapid development in the area, most prior studies have been limited to regression-based methods, undermining the…
Descriptors: Medical Research, Research Methodology, Social Differences, Human Body
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