We propose a novel approach for modeling judgment accuracy that, for the first time, allows for simultaneously considering the rank, level, and differentiation component, the predominantly applied operationalization of teacher judgment accuracy. These components are conceptualized as latent, unobserved individual abilities. The model is introduced…

This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…

Driven by the digital education strategy, the field of higher education is undergoing accelerated transformation. As a core course in the field of finance and economics, the teaching model of public finance urgently needs innovation to meet the requirements of the "New Economics and Management" (NEM) strategy for cultivating high-quality…

Measuring teacher effectiveness has been debated and studied for numerous years. While some progress has been made, consensus has yet to be reached regarding what it means to be an effective teacher and how to measure effectiveness. This study uses administrative data from North Carolina to assess the relationship between school principal…

This conceptual paper discusses 'unseen observation' as an alternative model of classroom observation to support teachers' professional learning. The paper starts with a critical synopsis of how observation has been appropriated principally as a performance management tool for monitoring teacher effectiveness in the UK. It argues that the…

In this study, we estimated the relationship between two popular measures of teacher effectiveness--teachers' value-added model (VAM) estimates, represented in this study via median growth percentiles (MGPs), and teachers' observational scores, derived from the TAP System for Teacher and Student Advancement. We examined the relationship between…

Teachers in 13 states are evaluated using value-added models (VAMs), a measure of student growth on standardized tests. The problem is that value-added models evaluate intermediate-level teachers' ability to have students perform on a standardized assessment despite other factors affecting students' academic performance, such as socioeconomic…

This paper aims to identify and compare key factors influencing US States' or an OECD country's decision to employ student test scores or test score value-added (VAM) in evaluating teacher effectiveness. Analysis using multiple linear probability model and logistic regression frameworks indicates that the use of VAM/student test scores was…

In this article, we explore whether the evaluation instruments used in the teacher selection process in Peru are good predictors of teacher effectiveness. To this end, we estimate teacher value-added (TVA) measures for public primary school teachers and test their relationship with Peru's results of two rounds of the teacher evaluation (i.e., a…

Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…

This quantitative, correlational study aims to determine if a predictive relationship exists between teacher perceptions of Tennessee's teacher evaluation and the linear combination of teacher gender, years of experience, and school-level taught (elementary, middle, high). Although teachers have recognized the current teacher evaluation system,…

Despite continuous efforts to develop teacher observation and evaluation frameworks, one-size-fits-all evaluation tools may not be adequate for an instrumental music classroom. Since implementing the Every Student Succeeds Act (ESSA) in 2015, teacher evaluation has shifted from a high-stakes accountability model to models focused on feedback and…

The study explores the implementation of teacher evaluation models and federal education policies, particularly AchieveNJ, in an urban public school district in New Jersey. It focuses on principals' experiences and perceptions, uncovering their challenges and thoughts on the policy's effectiveness in enhancing teacher performance and student…

With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…

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…