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Jennifer Greif Green; Manuel Ramirez; Gabriel J. Merrin; Melissa K. Holt – School Mental Health, 2024
Bias-based (also called identity-based) harassment refers specifically to a subset of peer victimization that targets a person's identity, such as their gender identity, religion, immigration status, sexual orientation, race, or ethnicity. Research indicates that bias-based harassment is a particularly devastating form of victimization that has an…
Descriptors: Youth, Adolescents, Bias, Bullying
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Rachel Moylan; Jillianne Code – Teachers and Teaching: Theory and Practice, 2024
Algorithmic systems shape every aspect of our daily lives and impact our perceptions of the world. The ubiquity and profound impact of algorithms mean that algorithm literacy--awareness and knowledge of algorithm use, and the ability to evaluate algorithms critically and exercise agency when engaging with algorithmic systems--is a vital competence…
Descriptors: Algorithms, Teacher Competencies, Digital Literacy, Knowledge Level
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Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
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Belzak, William C. M. – Educational Measurement: Issues and Practice, 2023
Test developers and psychometricians have historically examined measurement bias and differential item functioning (DIF) across a single categorical variable (e.g., gender), independently of other variables (e.g., race, age, etc.). This is problematic when more complex forms of measurement bias may adversely affect test responses and, ultimately,…
Descriptors: Test Bias, High Stakes Tests, Artificial Intelligence, Test Items
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Soto, Alexis; Schoenlein, Melissa A.; Schloss, Karen B. – Cognitive Research: Principles and Implications, 2023
In visual communication, people glean insights about patterns of data by observing visual representations of datasets. Colormap data visualizations ("colormaps") show patterns in datasets by mapping variations in color to variations in magnitude. When people interpret colormaps, they have expectations about how colors map to magnitude,…
Descriptors: Concept Mapping, Visualization, Data Interpretation, Expectation
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Skulmowski, Alexander – Mind, Brain, and Education, 2023
Cognitive load measurement is an important aspect of educational research. Current cognitive load surveys differentiate between intrinsic cognitive load (resulting from the complexity of learning materials) and their extraneous cognitive load (which is increased by a demanding design). In two studies, order effects of cognitive load subscales are…
Descriptors: Cognitive Processes, Difficulty Level, Measurement, Educational Research
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Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
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Walker, Jude – New Directions for Adult and Continuing Education, 2023
Climate change denial is often rooted in an array of conspiracy theories with climate change itself viewed by some as the real conspiracy. While not all of us are climate change conspiracy theorists, it is upsetting for most of us to learn and accept that our climate is changing, that it is primarily human-caused, and that it is harming people,…
Descriptors: Climate, Beliefs, Adoption (Ideas), Bias
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Dudel, Christian; Schneider, Daniel C. – Sociological Methods & Research, 2023
Multistate models are often used in social research to analyze how individuals move between states. A typical application is the estimation of the lifetime spent in a certain state, like the lifetime spent in employment, or the lifetime spent in good health. Unfortunately, the estimation of such quantities is prone to several biases. In this…
Descriptors: Models, Computation, Bias, Disabilities
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Bellaiche, Lucas; Shahi, Rohin; Turpin, Martin Harry; Ragnhildstveit, Anya; Sprockett, Shawn; Barr, Nathaniel; Christensen, Alexander; Seli, Paul – Cognitive Research: Principles and Implications, 2023
With the recent proliferation of advanced artificial intelligence (AI) models capable of mimicking human artworks, AI creations might soon replace products of human creativity, although skeptics argue that this outcome is unlikely. One possible reason this may be unlikely is that, independent of the physical properties of art, we place great value…
Descriptors: Artificial Intelligence, Art Products, Creativity, Preferences
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Knop, Eric S.; Pauly, Markus; Friede, Tim; Welz, Thilo – Research Synthesis Methods, 2023
Analysts seldom include interaction terms in their meta-regression model, which can introduce bias if an interaction is present. We illustrate this by reanalysing a meta-regression study in acute heart failure. Based on a total of 285 studies, the 1-year mortality rate related to acute heart failure is considered and the connection to the…
Descriptors: Regression (Statistics), Meta Analysis, Death, Heart Disorders
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Felipe Acuña; Francisca Corbalán – British Journal of Sociology of Education, 2023
The subfield of Sociology of Education (SOE) concerned with the growth of neoliberalism through critically analysing its policies, discourses, and processes of subjectivation has made a significant contribution to education in the last 40 years. Whilst this scholarship has generated new knowledge about what happens to people, contexts and…
Descriptors: Educational Sociology, Neoliberalism, Bias, Epistemology
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Sewell, Alexandra; Kennett, Anastasia; Williams, Rebecca; South, Harry – Journal of Applied Research in Higher Education, 2023
Purpose: Mental ill health is on the rise amongst undergraduate students and has been investigated using both positivist/quantitative and exploratory/qualitative research methods. However, the lived experiences of mature students who have mental ill health have not been directly investigated. A limited research literature suggests that challenges…
Descriptors: Experience, Adult Students, Mental Disorders, Undergraduate Students
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Bailey, John – Education Next, 2023
This article reports on the release of AI tools that can generate text, images, music, and video with no need for complicated coding but simply in response to instructions given in natural language. AI is also raising pressing ethical questions around bias, appropriate use, and plagiarism. In the realm of education, this technology will influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Barriers, Affordances
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AJ Sona; Jabdiel Laboy Santana; Erin K. H. Saitta – Journal of Chemical Education, 2023
Research involving lesbian, gay, bisexual, transgender, and queer, as well as individuals who identify with other gender and sexual minorities (LGBTQ+), make up a small, yet meaningful, amount of published work within science, technology, engineering, and mathematics (STEM) literature. This review of LGBTQ+ STEM literature from January 2009 to…
Descriptors: LGBTQ People, STEM Education, STEM Careers, Social Bias
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