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Grant Cooper; Kok-Sing Tang – Journal of Science Education and Technology, 2024
The proliferation of generative artificial intelligence (GenAI) means we are witnessing transformative change in education. While GenAI offers exciting possibilities for personalised learning and innovative teaching methodologies, its potential for reinforcing biases and perpetuating stereotypes poses ethical and pedagogical concerns. This article…
Descriptors: Artificial Intelligence, Science Education, Visual Aids, Stereotypes
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Sara Dhaene; Yves Rosseel – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML estimator yields the desirable statistical properties of asymptotic unbiasedness, efficiency, normality, and consistency. In practice, however, real-life data tend to be…
Descriptors: Factor Analysis, Factor Structure, Maximum Likelihood Statistics, Computation
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Johan Lyrvall; Zsuzsa Bakk; Jennifer Oser; Roberto Di Mari – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for…
Descriptors: Hierarchical Linear Modeling, Statistical Bias, Error of Measurement, Simulation
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Steffen Erickson – Society for Research on Educational Effectiveness, 2024
Background: Structural Equation Modeling (SEM) is a powerful and broadly utilized statistical framework. Researchers employ these models to dissect relationships into direct, indirect, and total effects (Bollen, 1989). These models unpack the "black box" issues within cause-and-effect studies by examining the underlying theoretical…
Descriptors: Structural Equation Models, Causal Models, Research Methodology, Error of Measurement
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Beatriz Carbajal-Carrera – Australian Review of Applied Linguistics, 2024
The growing implementation of Generative AI (GenAI) in education has implications on the representation of knowledge and identity across languages. In a context where content biases have been reported in AI-generated content, it becomes relevant to interrogate the ways in which AI technologies represent different linguistic identities. This…
Descriptors: Artificial Intelligence, Sociolinguistics, Language Usage, Bias
Enrica Lovaglio – ProQuest LLC, 2024
The present investigation aims to identify best practices to design virtual reality (VR) story-worlds to promote prejudice reduction and foster prosocial attitudes toward under-represented groups. Past research shows that VR, which allows the simulation of scenarios that would otherwise be prohibitively difficult or impossible in real life, can be…
Descriptors: Computer Simulation, Prosocial Behavior, Perspective Taking, Minority Groups
Joel T. Brigel Jr. – ProQuest LLC, 2024
Pennsylvania's implementation of the Culturally-Relevant and Sustaining Education (CR-SE) Program Framework Guidelines aimed at eliminating the barriers which prohibit student achievement. These competencies are required to be a part of the preservice teacher training as well as induction programs and continued professional development for…
Descriptors: Culturally Relevant Education, Preservice Teacher Education, Faculty Development, Reflection
Rebecca S. Perez – ProQuest LLC, 2024
Student ratings of instruction are used to elicit formative feedback to help improve teaching quality, however, due to their subjective nature they are vulnerable to implicit bias. In particular, gender bias, as framed by role congruity theory, has the potential to negatively impact female instructors more than their male counterparts. Changing…
Descriptors: Gender Bias, Women Faculty, Females, Student Evaluation of Teacher Performance
Rachael Pelletti – ProQuest LLC, 2024
Substance use disorders (SUDs) are highly stigmatized health conditions, exhibiting significant disparities in prevalence at the intersection of multiple marginalized identities (Eisenberg et al., 2022; Jones et al., 2021; Wakeman & Rich, 2018). This pervasive stigmatization represents a profound social injustice and public health crisis,…
Descriptors: Counselor Training, Student Attitudes, Substance Abuse, Beliefs
Vanessa-Yasmine Fregoso Montes Jurado – ProQuest LLC, 2024
This research study involved qualitative and quantitative research methodology to explore inservice and pre-service teacher attitudes, perspectives, and beliefs on including cultural and linguistically diverse (CLD) students with mild/moderate (MM) disabilities into the general education classroom setting. Data analysis from the U.S. Department of…
Descriptors: Teacher Attitudes, Beliefs, Inclusion, Students with Disabilities
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Micheal Sandbank; Kristen Bottema-Beutel; Ya-Cing Syu; Nicolette Caldwell; Jacob I. Feldman; Tiffany Woynaroski – Autism: The International Journal of Research and Practice, 2024
We conducted a multi-pronged investigation of different types of reporting bias in autism early childhood intervention research. First, we investigated the prevalence of reporting failures of completed trials registered on clinicaltrials.gov, and found that only 7% of registered trials were updated with results on the registration platform and…
Descriptors: Literature Reviews, Meta Analysis, Autism Spectrum Disorders, Children
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Sarahjane L. Dube; Michelle M. Johns; Jack Andrzejewski; Alexandra S. Potter – Youth & Society, 2024
A diagnosis of gender dysphoria remains the primary requirement for transgender people to receive medical and legal gender affirmation services. Three focus groups conducted in 2018 with transgender and gender diverse (TGD) adolescents were assessed to understand how they define and use the term dysphoria and how the clinical discourse of gender…
Descriptors: LGBTQ People, Sexual Identity, Adolescents, Depression (Psychology)
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Kin-Yan Szeto – Journal of Dance Education, 2024
This article interrogates the veneer of Orientalism in the course content related to dance practices from East Asia, reflecting on pedagogy and experience in teaching the topic of "Chinese" dance, within the demographics of a majority White university. It examines how existing curriculum structure shapes the ways students learn about…
Descriptors: Dance Education, Non Western Civilization, Asian Culture, Cultural Context
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Jade Mai Cock; Hugues Saltini; Haoyu Sheng; Riya Ranjan; Richard Davis; Tanja Käser – International Educational Data Mining Society, 2024
Predictive models play a pivotal role in education by aiding learning, teaching, and assessment processes. However, they have the potential to perpetuate educational inequalities through algorithmic biases. This paper investigates how behavioral differences across demographic groups of different sizes propagate through the student success modeling…
Descriptors: Demography, Statistical Bias, Algorithms, Behavior
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Smele, Sandra; Quinlan, Andrea; Lacroix, Emerson – Gender and Education, 2021
Grounded in intersectional feminist approaches, this study explores the equity impacts of student evaluations of teaching (SETs) on precariously employed women in the academy. Despite their overrepresentation in the academic teaching workforce, precariously employed women are a demographic group that remains underrepresented in research on SETs.…
Descriptors: Women Faculty, College Faculty, Student Evaluation of Teacher Performance, Gender Bias
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