This study examines how professional noticing of student mathematical thinking evolves in the context of modeling and what is special about the context of modeling. Eight middle and secondary school teachers participated in this one-semester long study and received three training sessions on professional noticing. Teachers provided more…

As a graduate assistant at the University Speaking Center (USC), Rebecca Ray investigated the ways how the diverse staff works together cohesively to be both fascinating and effective. She conducted two different focus groups at the USC during downtime to create an open dialogue for learning about what makes us diverse. She found that diversity is…

The purpose of the study is to close the gap in the literature regarding the Marzano Teacher Evaluation Model (MTEM) that lacks large scale empirical investigations to assess the predictability of the model. The study thoroughly reviews the extant literature from all teacher evaluation frameworks, particularly focusing on the large body of…

Teacher evaluation systems often include classroom observations in which raters use rating scales to evaluate teachers' effectiveness. Recently, researchers have promoted the use of multifaceted approaches to investigating reliability using Generalizability theory, instead of rater reliability statistics. Generalizability theory allows analysts to…

Although the first research on the creative process was based on interviews with the aim of identifying the main stages (macro-process), in the last 50 years researchers have focused more on the analysis of micro-processes, i.e., the mechanisms underlying the generation of ideas. This interest in the micro-processes is partly a result of the tools…

Using a newly created teacher evaluation instrument, Inter-rater Reliability (IRR) analyses were conducted on four teacher videos as a means to establish instrument reliability. Raters included 42 principals and assistant principals in a southern US school district. The videos used spanned the teacher quality spectrum and the IRR findings across…

We explore multi-modal machine learning-based approaches (facial expression recognition, auditory emotion recognition, and text sentiment analysis) to identify "negative moments" of teacher-student interaction during classroom teaching. Our analyses on a large (957 videos, each 20min) dataset of classroom observations suggest that: (1)…

University supervisors responsible for the programming and congruency between field experiences and the physical education teacher education (PETE) preparation program play a pivotal role in the opportunity for pre-service physical education teacher success. Due to limitations of time, quality mentors, and the residual effects of the pandemic,…

A teacher supervising the school practice of student teachers is regarded as an expert who sets an example of good teaching to future teachers and chooses teaching practices that support pupils' cognitive and social development. This study examines the implementation of teaching practices and the interpretation of these practices by school-based…

Teacher education programs have the responsibility of preparing future educators to teach in ways that support student learning and foster deep understanding of subject matter. For this reason, it is important teacher education programs support preservice teachers' development of subject-matter knowledge and pedagogical content knowledge. One of…

In this study, the psychometric properties of the Classroom Observation of Engagement, Disrespectful and Disruptive Behavior (COEDD), a systematic direct observation coding protocol designed to assess common school-based behavioral targets, were examined. Interobserver agreement and criterion-related validity were evaluated in a sample of 155…

The COVID-19 pandemic resulted in several challenges for students and teachers in the United States. The introduction of virtual instruction was a challenge for many, especially teachers. As many educators attempted to determine how to best support their students and teachers, the latter looked for ways to create lessons and connect with students…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…

During COVID-19, many schools worldwide were closed. In this unprecedented context, some students accessed distance or remote education. Assessing the quality of in-person early childhood education has a long-dated challenge and doing the same within a preschool online setting is unprecedented. This study aimed to utilize the Teach ECE observation…

Girls, more than boys, experience a decrease in the severity of autism symptoms during childhood. It is unclear, however, which specific autistic behaviors change more for girls than for boys. Trajectories of autism symptoms were evaluated using the Autism Diagnostic Observation Schedule-calibrated severity scores (ADOS-CSS). Change in the…