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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
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
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
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
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
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
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
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
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
Leslie D. Gonzales; Penny A. Pasque; Kyle D. Farris; Jordan M. Hansen – Review of Educational Research, 2024
Epistemic injustice is a condition where knowers and knowledge claims are unduly dismissed. Philosophers suggest that epistemic injustice manifests in three forms: testimonial, hermeneutical, and contributory. Although distinct, all forms of epistemic injustice stem from relations of power, privilege, and positionality -- where some have the…
Descriptors: Doctoral Programs, Epistemology, Doctoral Students, Diversity
Ursula Moorer – ProQuest LLC, 2024
Existing research consistently indicates that Black girls are assigned disproportionately exclusionary disciplinary consequences such as, suspension and expulsion rates, surpassing their White counterparts and Black boys. According to the Report to Congressional Requesters, (United States Governmental Accountability Office, 2018), exclusionary…
Descriptors: Disproportionate Representation, African American Students, Females, Gender Bias
Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – AERA Open, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Julia Rose Karpicz; Tomoko M. Nakajima; Justin A. Gutzwa – Journal of Women and Gender in Higher Education, 2024
In recent decades, initiatives to diversify post-secondary educational spaces have blossomed. Many of these "broadening participation" efforts are in STEM undergraduate departments that, historically and presently, predominantly serve white men. Using a raced-gendered theoretical lens, we conducted a narrative analysis of interviews with…
Descriptors: Gender Bias, Racism, Public Colleges, Computer Science Education
Cesar Teló; Rosane Silveira; Ana Flávia Boeing Marcelino; Mary G. O'Brien – Applied Linguistics, 2024
Evidence from Canada suggests that accent bias can be moderated by speakers' demonstrated job-relevant performance and the prestige level of their occupation (Teló et al. 2022). In this study, we replicated Teló et al.'s (2022) work in Brazil. First language (L1) Brazilian Portuguese-speaking listeners rated audio recordings of L1 Brazilian…
Descriptors: Foreign Countries, Portuguese, Spanish Speaking, Social Bias
Ngozi C. Igbokwe – ProQuest LLC, 2024
Even though women have made progress in entering the workforce, they still face barriers to leadership. HiPo programs are a common strategy organizations use to develop their future leaders. These programs focus on equipping HiPos with skills and opportunities to support their growth and prepare them for leadership roles. However, little research…
Descriptors: Females, Gender Bias, Equal Opportunities (Jobs), Leadership Training