This study, grounded in a phenomenological exploration, investigates whether current teacher evaluation methods account for subjectivism in teaching, learning, and evaluation within the context of Georgia's Teacher Keys Effectiveness System TKES. Through focus groups with instructional evaluators IEs, the study reveals the significant impact of…

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:…

Systematic reviews and maps are considered a reliable form of research evidence, but often neglect non-English-language literature, which can be a source of important evidence. To understand the barriers that might limit authors' ability or intent to find and include non-English-language literature, we assessed factors that may predict the…

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…

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…

With the increasing use of automated scores in operational testing settings comes the need to understand the ways in which they can yield biased and unfair results. In this paper, we provide a brief survey of some of the ways in which the predictive methods used in automated scoring can lead to biased, and thus unfair automated scores. After…

This dissertation address two significant challenges in the causal inference workflow for Big Observational Data. The first is designing Big Observational Data with high-dimensional and heterogeneous covariates. The second is performing uncertainty quantification for estimates of causal estimands that are obtained from the application of black box…

Many forms of bias have been identified in higher education research, and in educational and social research in general. This article identifies a further form of bias, positivity bias, and places it in this broader context. Positivity bias is the tendency, in some forms of published higher education research, to only or chiefly report examples of…

This experimental study examined whether the uninformative anchoring effect, which should be ignored, on judgments of learning (JOLs) was eliminated through the learning experience. In the experiments, the participants were asked to predict whether their performance on an upcoming test would be higher or lower than the anchor value (80% in the…

"Attribute-framing bias" reflects people's tendency to evaluate objects framed positively more favorably than the same objects framed negatively. Although biased by the framing valence, evaluations are nevertheless calibrated to the magnitude of the target attribute. In three experiments that manipulated magnitudes in different ways, we…

Social desirability bias (SDB) has been a major concern in educational and psychological assessments when measuring latent variables because it has the potential to introduce measurement error and bias in assessments. Person-fit indices can detect bias in the form of misfitted response vectors. The objective of this study was to compare the…

During the first year of life, children begin to develop preferences for their own racial group over others. To interrupt the development of these and other biases during infancy and toddlerhood, educators can use books to promote anti-racist and anti-bias thinking and behaviors in children, while also supporting children's emergent literacy. This…

In this article, the author shares some tips for improving university-wide assessment conversations, focusing on meetings with faculty creating and doing assessment. The lessons are from a multi-year project where the author observed meetings and interviewed faculty about their involvement in university-wide assessment.

Purpose: Judging bias is ironically an inherent risk in every competition, which might threaten the fairness and legitimacy of the competition. The patriotism effect represents one source of judging bias as the judge favors contestants who share the same sentiments, such as the nationalistic, racial, or cultural aspects. This study attempts to…

This paper advocates for a shift from insular paternalism to developmental paternalism in education, contending that students' engagement with erroneous ideas is crucial for building the ability to resist harmful notions and support democracy. The proposed inoculative approach exposes students to problematic ideas, guiding them through the process…