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Christia Spears Brown; Sharla D. Biefeld; Sungmin D. Kahng – Social Development, 2024
We investigated first-and second-generation Latine immigrant children's attributions for cultural and structural discrimination, and how this differed based on their own neighborhood composition. Participants were recruited from 19 elementary schools (N = 101 girls, 101 boys), and ranged in age from 8 to 12 years old (M = 9.22; SD = 11.98 months).…
Descriptors: Hispanic American Students, Elementary School Students, Immigrants, Ethnicity
Chenguang Pan; Zhou Zhang – International Educational Data Mining Society, 2024
There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…
Descriptors: High School Students, Dropouts, Dropout Characteristics, Artificial Intelligence
Okanda, Mako; Taniguchi, Kosuke – Applied Cognitive Psychology, 2020
This study investigated whether 2- to 6-year-old children exhibit a response bias to questions pertaining to the results of sharing objects that should attract their interest. An experimenter distributed four objects between herself/himself and a child, equally or unequally (more to the child or more to the experimenter) and asked the child yes-no…
Descriptors: Young Children, Responses, Bias, Age Differences
Lampinen, James Michael; Race, Brittany; Wolf, Alexander P.; Phillips, Paulie; Moriarty, Nathalie; Smith, Andrew M. – Applied Cognitive Psychology, 2020
It is generally agreed that proper pre-lineup instructions can reduce the rate of mistaken identifications of innocent suspects. However, the exact nature of these instructions has not been empirically established. We compared the effects of the detailed pre-lineup instructions recommended by the US Department of Justice to a simple instruction…
Descriptors: Identification, Guidelines, Bias, Error Patterns
Huelmann, Thorben; Debelak, Rudolf; Strobl, Carolin – Journal of Educational Measurement, 2020
This study addresses the topic of how anchoring methods for differential item functioning (DIF) analysis can be used in multigroup scenarios. The direct approach would be to combine anchoring methods developed for two-group scenarios with multigroup DIF-detection methods. Alternatively, multiple tests could be carried out. The results of these…
Descriptors: Test Items, Test Bias, Equated Scores, Item Analysis
Stanley, Marshica; Roycroft, Jessica; Amaya, Ashley; Dever, Jill A.; Srivastav, Anup – Field Methods, 2020
Previous research has shown that increasing the size of incentives can increase response rates for probability-based, cross-sectional surveys. However, the effects of incentives on web panels have not been extensively studied. We sought to answer the question: What is the effect of larger, postpaid incentives on (1) response, (2) data quality, and…
Descriptors: Incentives, Response Rates (Questionnaires), Data, Bias
Brookfield, Stephen D. – New Directions for Adult and Continuing Education, 2020
This article focuses on the use of "narrative disclosure" as a pedagogical strategy whose goal is to respond critically to and challenge the ideology of White supremacy.
Descriptors: Whites, Racial Bias, Educational Strategies, Ideology
Ashley J. Harrison; Matthew Madison; Nilofer Naqvi; Karrah Bowman; Jonathan Campbell – Autism: The International Journal of Research and Practice, 2025
The Autism Stigma and Knowledge Questionnaire (ASK-Q) was developed and validated to assess autism knowledge across cultural contexts. Given the wide international use of the measure, the current study aimed to re-examine the measurement properties of the ASK-Q. Using a large, international database (n = 5064), psychometric analyses examined both…
Descriptors: Autism Spectrum Disorders, Social Bias, Attitudes toward Disabilities, Questionnaires
Stefani R. Relles; Julia C. Duncheon – Educational Forum, 2025
This study employs the framework of intersectionality to offer a first-person perspective on being an undocumented high school student with college aspirations in the digital age. Using Instagram posts as a data source, the study describes everyday encounters with sexism, racism, classism, and nativism across household, community, and school…
Descriptors: Social Media, Intersectionality, Undocumented Immigrants, High School Students
Karin M. Eyrich-Garg; Jennifer M. Frank; Amanda Aykanian; Valarie Clemmons – Journal of Teaching in Social Work, 2025
The social work profession is committed to addressing issues of social, economic, racial, and environmental injustice, which includes efforts to mitigate poverty and related issues such as homelessness and housing instability. Integral to this goal is graduating undergraduate and graduate social work students with attitudes toward these issues…
Descriptors: Poverty, Social Bias, Homeless People, Social Work
Yangqiuting Li; Chandralekha Singh – Journal of College Science Teaching, 2025
In this paper, we provide examples of interactions with instructors that women in physics courses find condescending or intimidating based upon data from individual interviews with women in physics courses. We also provide some examples of interactions in Science Technology Engineering and Mathematics (STEM) courses that women found validating.…
Descriptors: Womens Education, Females, Physics, Science Instruction
Corrie Wilder; Shannon Calderone – Impacting Education: Journal on Transforming Professional Practice, 2025
This study explores the integration of generative artificial intelligence (AI) into qualitative research within a higher education context. Through a collaborative self-study, a doctoral candidate and their dissertation supervisor examined the application of Google's Gemini 1.5 to analyze interview data from a dissertation of practice (DiP)…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Adam Kaszuba – Critical Education, 2025
Multiple discourses circulate in society which construct a vision of what professionalism looks like for teachers. When these discourses are put into practice in initial teacher education programs, teacher candidates feel compelled to integrate them without critically examining their underlying assumptions. Based on a Foucauldian framework, this…
Descriptors: Professionalism, Preservice Teachers, Student Attitudes, Bias
Ole J. Kemi – Advances in Physiology Education, 2025
Students are assessed by coursework and/or exams, all of which are marked by assessors (markers). Student and marker performances are then subject to end-of-session board of examiner handling and analysis. This occurs annually and is the basis for evaluating students but also the wider learning and teaching efficiency of an academic institution.…
Descriptors: Undergraduate Students, Evaluation Methods, Evaluation Criteria, Academic Standards
Sudeep Khanal; Shiva Raj Pokhrel; Rebecca Dewey – Compare: A Journal of Comparative and International Education, 2025
Dalits in the Indian subcontinent region (such as India and Nepal) have low attainment in higher education. This study comprises a systematic review of 18 research papers to ascertain whether higher education institutions are disrupting or propagating caste inequalities in the Indian subcontinent. Guided by Amartya Sen's concepts of capability…
Descriptors: Foreign Countries, Equal Education, Capacity Building, Social Class

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