The discipline of performance analysis is founded upon the collection and analysis of objective and reliable data to support the coaching process. While research has begun to identify the potential importance of trust in applied sporting environments, there remains a paucity of inquiry that seeks to explicitly investigate trustworthiness in the…

Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a framework for leveraging subjective metrics derived from the class textual materials across different semesters to assess LLM outputs across various tasks. By utilizing…

This case study was an exploration of how sport coaches, teachers, instructional coaches, and administrators use video analysis to improve performance. The study helped to reveal the usage of video analysis and its perceived advantages and barriers. The case study helped to determine frameworks for practical use by school districts or individual…

This work tested the hypothesis that the academic performance of students in a distance learning course in Biological Sciences (PBS-CEDERJ) decreased during the COVID-19 pandemic in disciplines with and without practical activities. Performance was quantified via students' grades in PBS-CEDERJ disciplines in pre-pandemic years (2018 and 2019) and…

In response to the national excitement around course embedded assessment, various campuses and state-wide college systems engaged in faculty development in assignment prompt development drawn from the literature focused on creating assignments for the classroom. However, while the literature is replete with frameworks, templates, guides,…

Concert attendance is often a major determinant of student grades in ensemble classes. Yet, there are reasons to question whether concert night is an effective setting for student assessment. This article probes the usefulness and fairness of concert grades and suggests policies that support equitable learning environments. Strategies for…

Validity of performance standards is a key element for the defensibility of standard setting results, and validating performance standards requires collecting multiple pieces of evidence at every step during the standard setting process. This study employs a statistical procedure, latent class analysis, to set performance standards and compares…

This research aimed to develop formative assessment rubrics for enhancing students' performance on Thai percussion instruments using the Many-Facet Rasch Measurement Partial Credit model (MFRM-PCM). Samples were high-school students playing four types of Thai instruments and the raters who were qualified and properly trained. The research…

The existing performance evaluation methods in robot-assisted surgery (RAS) are mainly subjective, costly, and affected by shortcomings such as the inconsistency of results and dependency on the raters' opinions. The aim of this study was to develop models for an objective evaluation of performance and rate of learning RAS skills while practicing…

This brief emphasizes the importance of English learner reclassification in California, where over 19 percent of students are classified as English learners. It outlines the high-stakes nature of this process, particularly under the Every Student Succeeds Act (ESSA), which mandates uniform criteria for exiting English learner programs. The four…

The use of digital media among student community has increased their level of distraction during classroom teaching. Capturing their attention in classrooms, has become a cumbersome task for teaching faculty. Therefore, most of the academic institutions have resorted to the use of activity-based learning for science and engineering students that…

The performance evaluation of e-learning in medical education has been the subject of much research lately. Researchers are yet to achieve a consensus on the definition of performance or the suitable constructs, metrics, models, and methods to help understand student performance. Through a systematic review, this study put forward a working…

This study's purpose is to extend our understanding of school leadership for student learning by identifying high-leverage teacher evaluation practices that improve teaching. A partnership with a state education agency administered a teacher questionnaire regarding evaluation practices multiple times in one semester, then linked teacher responses…

Evaluation of research performance has significantly increased in importance, particularly in many emerging higher education systems. In Malaysia, the Malaysian Research Assessment (MyRA) was developed to evaluate the research performance of universities and Research Centres of Excellence (RCoEs). This paper reports on a participatory action…

For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…