One of the greatest challenges for schools is to identify effective and ineffective teachers in a classroom. Teacher evaluation is an expensive process in both time and resources. It is important that evaluations provide data to improve teaching and learning. Therefore, each evaluation needs to communicate opportunities for growth. This…

The purpose of this quantitative correlational study was to determine if, and to what extent, a relationship existed between teachers' perceptions of their evaluator's instructional leadership and the teachers' evaluation scores at the middle and high school levels in one Florida school district. Ozcan's theory of teacher motivation states that…

The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an…

Research indicates that teacher performance is a critical focus for school districts, administrators, and teachers. Pre-service teacher preparation, teacher retention, job satisfaction, mentoring, continuous feedback, and onboarding support for new teachers are all factors that influence teacher performance (Carver-Thomas & Darling-Hammond,…

Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

Evaluating the impact of Academic Literacies teaching (Lea and Street [1998. "Student Writing in Higher Education: An Academic Literacies Approach." "Studies in Higher Education" 23 (2): 157-72. doi:10.1080/03075079812331380364]) is difficult, as it involves gauging whether writers: (1) gain better understanding of what…

Recent research on rater effects in performance assessments has increasingly focused on rater centrality, the tendency to assign scores clustering around the rating scale's middle categories. In the present paper, we adopted Jin and Wang's (2018) extended facets modeling approach and constructed a centrality continuum, ranging from raters…

The Classroom Assessment Scoring System (CLASS; Pianta et al., 2008) is a popular measure of teacher-child interactions. Despite its prominence, CLASS scores have fairly weak relations with various child outcomes (e.g., Zaslow et al., 2010). One potential reason for these findings could be systematic differences in observer severity. As such, the…

In many performance assessments, one or two raters from the complete rater pool scores each performance, resulting in a sparse rating design, where there are limited observations of each rater relative to the complete sample of students. Although sparse rating designs can be constructed to facilitate estimation of student achievement, the…

In Comparative Judgement (CJ) exercises, examiners are asked to look at a selection of candidate scripts (with marks removed) and order them in terms of which they believe display the best quality. By including scripts from different examination sessions, the results of these exercises can be used to help with maintaining standards. Results from…

As part of its "Guiding Principles for Evaluators," the American Evaluation Association (AEA) requires that evaluators develop cultural competencies. Using a successive-independent-samples design, the researchers sought to compare perceptions of cultural competence across a duration of 10 years. Qualitative data were collected via online…

To address response style or bias in rating scales, forced-choice items are often used to request that respondents rank their attitudes or preferences among a limited set of options. The rating scales used by raters to render judgments on ratees' performance also contribute to rater bias or errors; consequently, forced-choice items have recently…

Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…

Background: Competency models provide useful frameworks for organizing learning and assessment programs, but their construction is both time intensive and subject to perceptual biases. Some aspects of model development may be particularly well-suited to automation, specifically natural language processing (NLP), which could also help make them…