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Soha Youssef – Journal of the Scholarship of Teaching and Learning, 2025
Scholarship indicates the existence of implicit biases against nonnative English-speaking teachers (NNESTs). Those biases are revealed in terms of their ethnicity impacting their perceived comprehension by US native English-speaking students (NESSs) and how students' prejudices against perceived "foreign" accents undermine NNESTs'…
Descriptors: Undergraduate Students, Student Attitudes, Student Evaluation of Teacher Performance, Bias
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Rosaline Tandiono; Amelia Limijaya – Asia-Pacific Education Researcher, 2025
Self and peer assessment in group work offers numerous benefits but is also susceptible to bias. Yet, research examining bias in self and peer assessments often overlooks cultural perspectives and predominantly favors Western contexts. This study aims to address this gap by examining how culture influences rater bias in self and peer assessments…
Descriptors: Evaluators, Bias, Self Evaluation (Individuals), Peer Evaluation
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Agustín Barroilhet; Mónica Silva; Kurt F. Geisinger – Higher Education Policy, 2025
Merit-based procedures should be constantly reevaluated according to the circumstances to remain both valid and fair--two interrelated concepts. Inducing reevaluation, however, is difficult. These procedures are controlled by legitimate authorities, are rule and contract-bound, and can become quickly entrenched. This resistance to change calls for…
Descriptors: Foreign Countries, Student Evaluation, Student Rights, Justice
Frank Morley; Emma Walland – Research Matters, 2025
The recent development of Large Language Models (LLMs) such as Claude, Gemini, and GPT has led to widespread attention on potential applications of these models. Marking exams is a domain which requires the ability to interpret and evaluate student responses (often consisting of written text), and the potential for artificial intelligence (AI)…
Descriptors: Ethics, Artificial Intelligence, Automation, Scoring
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Esma Esen Çiftçi; Esra Dasçi; Cansu Ayan; Zeynep Uludag – International Journal of Assessment Tools in Education, 2025
Men's participation is an important indicator for achieving gender equality. The purpose of this study is to adapt the "Support for Gender Equality among Men Scale (SGEMS)" developed by Sudkamper et al. (2020) to Turkish. The scale examines men's support for gender equality in two sub-dimensions: public space and household. In the study,…
Descriptors: Foreign Countries, Males, Gender Bias, Community
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Flora Debora Floris – JALT CALL Journal, 2025
This study examines how DALL-E 3 interprets English descriptions written by Indonesian university students. Sixteen descriptive texts were submitted to the artificial intelligence (AI) tool, and the resulting images were compared to original photos. Most outputs showed clear mismatches. The analysis found that misinterpretations originated from…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, English
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Moore, Mary Elizabeth – Religious Education, 2021
This paper analyzes forces of gender and sexuality that evoke intense controversies in religion, society, and politics, and influence acts of discrimination and hostility. These forces have potential for wholeness, but are often used to reinforce power hierarchies and justify violence, as in cases of anti-abortion aggression, racialized sexual…
Descriptors: Gender Issues, Sexuality, Religion, Political Issues
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Erik Backman; Mikael Quennerstedt; Björn Tolgfors; Gunn Nyberg – Curriculum Studies in Health and Physical Education, 2024
Peer assessment has been proven to improve learning for both the observer and the observed. One dimension of peer assessment that has been given little attention in the context of physical education teacher education (PETE) is the tension that exists when peers give feedback on each other's work. In this paper, we report on Swedish preservice…
Descriptors: Peer Evaluation, Physical Education Teachers, Preservice Teachers, Social Capital
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Maryam Roshanaei – Education and Information Technologies, 2024
Artificial Intelligence (AI) strives to create intelligent machines with human-like abilities. However, like humans, AI can be prone to implicit biases due to flaws in data or algorithms. These biases may cause discriminatory outcomes and decrease trust in AI. Bias in higher education admission may limit access to opportunities and further social…
Descriptors: Best Practices, Algorithms, Artificial Intelligence, Computer Software
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Cathryn van Kessel; Kelcia Righton; Lea Lester; Jeff Schimel; Zahra Hussain; Cassidy Lindell – Texas Education Review, 2024
This collaborative, descriptive research project in urban Texas looked at the at the development, implementation, and student perception of effectiveness of a multi-stage pedagogical intervention in a classroom to help preservice teachers become more confident during discussions of controversial identity issues; specifically, ableism, classism,…
Descriptors: Urban Schools, Student Attitudes, Intervention, Preservice Teachers
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Talbot, Brent C.; Taylor, Donald M. – Philosophy of Music Education Review, 2023
Inspired by the life and works of Grammy Award® winning artist, Lil Nas X, we explore ways a young Black queer musician has enacted emancipatory utopias to disrupt dominant cultural modes of being--offering unapologetic expressions and expansions of race, gender, and sexual identity. In this paper, we draw upon José Esteban Muñoz and Ytasha Womak…
Descriptors: Musicians, African Americans, Sexual Identity, Race
Weisling, Nina F.; Gardiner, Wendy – Phi Delta Kappan, 2023
There is a cultural mismatch between teachers and students in classrooms across the U.S. that, despite teachers' best intentions, too often leads to student harm. Mentors are uniquely positioned to interrupt conscious and unconscious bias that leads to inequitable practices but often have difficulty holding the necessary hard conversations. Among…
Descriptors: Mentors, Minority Group Students, Cultural Differences, Ideology
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Abarna Selvarajah – Studies in the Education of Adults, 2023
Literature on adult settlement and integration education in Canada documents the limits of public services supporting the settlement of female newcomers. This study provokes deeper understandings of these limitations by examining the gendered experiences of mature Tamil women who have resided in the province of Ontario, Canada for more than 10…
Descriptors: Foreign Countries, Immigrants, Females, Access to Education
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Shep Stearns; Katherine E. McKee; John M. Dole; Jonathan W. Duggins – NACTA Journal, 2023
This paper establishes a clearer picture of the demographics of a single cohort of undergraduate students that entered North Carolina State University's College of Agriculture and Life Sciences (CALS) in the fall semester of 2013. We compared the demographics of the cohort with the overall population of North Carolina to determine how well the…
Descriptors: Undergraduate Students, Agricultural Colleges, Agricultural Education, Profiles
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Hsin-Yun Lee; You-Lin Chen; Li-Jen Weng – Journal of Experimental Education, 2024
The second version of Kaiser's Measure of Sampling Adequacy (MSA[subscript 2]) has been widely applied to assess the factorability of data in psychological research. The MSA[subscript 2] is developed in the population and little is known about its behavior in finite samples. If estimated MSA[subscript 2]s are biased due to sampling errors,…
Descriptors: Error of Measurement, Reliability, Sampling, Statistical Bias
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