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Micaela Sánchez-Martín; Marta Gutiérrez-Sánchez; Eva María Olmedo-Moreno; Fernando Navarro-Mateu – Cogent Education, 2024
Introduction: Concerns about the risk of bias (RoB) of Meta-analysis (MAs) have grown in parallel with the exponential increase in the number of publications in science. However, this has not been properly assessed in Education. The aims were to evaluate the RoB of MAs in Education and to identify potential predictors of a lower RoB. Methods:…
Descriptors: Literature Reviews, Meta Analysis, Bias, Research Problems
D. Betsy McCoach; Scott Peters; Anthony J. Gambino; Daniel Long; Del Siegle – Grantee Submission, 2024
Teacher rating scales (TRS) often play a part in service eligibility decisions for gifted services. Although schools regularly use TRS to identify gifted students either as part of an informal nomination process or through behavioral rating scales, there is little research documenting the between-teacher variance in teacher ratings and the…
Descriptors: Gifted Education, Rating Scales, Academically Gifted, Academic Achievement
D. Betsy McCoach; Scott Peters; Anthony J. Gambino; Daniel Long; Del Siegle – Exceptional Children, 2024
Teacher rating scales (TRS) often play a part in service eligibility decisions for gifted services. Although schools regularly use TRS to identify gifted students either as part of an informal nomination process or through behavioral rating scales, there is little research documenting the between-teacher variance in teacher ratings and the…
Descriptors: Gifted Education, Rating Scales, Academically Gifted, Academic Achievement
Hogan, Andrew – ProQuest LLC, 2023
The purpose of this study was to analyze teacher perceptions of the impact of deficit thinking in student course level placement to derive greater insight into the causes of the over-representation of students of color in lower-tracked classes. This study was conducted as a virtual focus group using Google Meet that took place across 3 meetings in…
Descriptors: Course Selection (Students), Student Placement, Teacher Attitudes, Student Needs
Adams, Kelsey Williams – ProQuest LLC, 2023
This paper utilizes a dissertation-in-practice model (Storey et al., 2015) wherein scholar-practitioners examine the implementation of teacher professional learning in the areas of culturally responsive practice (Gay, 2000; Ladson-Billings, 2001; Brown, 2004; Bondy, 2007; Lambeth & Smith, 2016; Chang & Viesca, 2022), implicit bias (Mason…
Descriptors: Teacher Student Relationship, Faculty Development, Culturally Relevant Education, Bias
Abdallah A. Alnajjar; Mohamed Ibrahim – International Journal on Social and Education Sciences, 2024
This study aims to examine the effectiveness of collaborative learning, augmented reality, and learning cycle models on students' language success. This study employed meta-analysis methodologies to examine data derived from 54 studies with a sample size of 2,837 participants in Turkey. The data sources were obtained from online database searches…
Descriptors: Instructional Effectiveness, Teaching Methods, Cooperation, Computer Simulation
Verger, Mélina; Lallé, Sébastien; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2023
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against some students and possible harmful long-term…
Descriptors: Prediction, Models, Student Behavior, Academic Achievement
Kraft, Matthew A. – Educational Researcher, 2023
It is a healthy exercise to debate the merits of using effect-size benchmarks to interpret research findings. However, these debates obscure a more central insight that emerges from empirical distributions of effect-size estimates in the literature: Efforts to improve education often fail to move the needle. I find that 36% of effect sizes from…
Descriptors: Effect Size, Benchmarking, Educational Research, Educational Policy
Angelina Adu; Bakari Dramanu Yusif; Felix Senyametor; Mark Owusu Amponsah; Freda Osei Sefa – Journal of International and Comparative Education, 2023
Research has established that stereotyping, prejudice and collective self-esteem predict academic performance. Similarly, in Ghana, students' academic achievement could be influenced by stereotyping, prejudice and collective self-esteem, particularly, in relation to their modes of study. Thus, the study compared distance education and regular…
Descriptors: Foreign Countries, Stereotypes, Bias, Academic Achievement
Kelli A. Bird; Benjamin L. Castleman; Yifeng Song – Journal of Policy Analysis and Management, 2025
Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models--one predicting course completion, the second predicting degree…
Descriptors: Algorithms, Technology Uses in Education, Bias, Racism
Smith, Daryl G. – Johns Hopkins University Press, 2020
Daryl G. Smith has devoted her career to studying and fostering diversity in higher education. In "Diversity's Promise for Higher Education," Smith brings together research from a wide variety of fields to propose a set of clear and realistic practices that will help colleges and universities locate diversity as a strategic imperative…
Descriptors: Higher Education, Institutional Mission, Diversity (Faculty), Interdisciplinary Approach
Lipnevich, Anastasiya A.; Eßer, Felix J.; Park, Mi Jin; Winstone, Naomi – Assessment in Education: Principles, Policy & Practice, 2023
Although feedback is one of the most important instructional techniques, strong empirical research on receiving feedback is scarce in comparison to research on feedback provision. In this experimental study, we examined the influence of detailed comments and praise on student motivation and change in performance. 147 university students wrote an…
Descriptors: Positive Reinforcement, Bias, Feedback (Response), Student Motivation
Paul L. Morgan; Adrienne D. Woods; Yangyang Wang; George Farkas; Marianne M. Hillemeier; Cynthia Mitchell – Journal of Learning Disabilities, 2023
Students with disabilities (SWD) who are Black or Hispanic have been reported to be more likely to be placed primarily outside of general education classrooms while attending U.S. schools. Federal law and regulation require monitoring of special education placement based on race or ethnicity. Yet, whether and to what extent racial or ethnic…
Descriptors: Students with Disabilities, African American Students, Hispanic American Students, Special Education
Sanrey, Camille; Bressoux, Pascal; Lima, Laurent; Pansu, Pascal – British Journal of Educational Psychology, 2021
Background: In academic contexts, teachers' judgements are central to instruction and have many consequences for students' self-perceptions. Understanding the cognitive biases that may exist in teachers' judgements is thus of central importance. Aims: This paper presents two studies in which we aimed to investigate the presence of a halo effect in…
Descriptors: Evaluative Thinking, Teachers, Bias, Student Evaluation
Robinson, Daniel H. – Educational Psychology Review, 2021
In an article published in an open-access journal, (Pennebaker et al. "PLoS One," 8(11), e79774, 2013) reported that an innovative computer-based system that included daily online testing resulted in better student performance in other concurrent courses and a reduction in achievement gaps between lower and upper middle-class students.…
Descriptors: Computer Assisted Testing, Academic Achievement, Student Evaluation, College Students