High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

The purpose of the study was to investigate secondary choral music educators' and administrators' perceptions of the use of the Mississippi Professional Growth System (PGS) as an applicable tool for evaluating secondary choral music educators. While there is limited research regarding the evaluation of choral music educators, this study aimed to…

The purpose of this systematic review was to survey available measures of creativity for pk12 students for assessments characteristics and reporting of psychometric properties. Using the PRISMA framework, we identified 42 unique articles with 48 assessments meeting our inclusion criteria. Then, two coders independently coded all articles using a…

The purpose of this qualitative content analysis study is to investigate the themes and potential gaps in quality assurance rubrics and scorecards used to evaluate online courses in higher education. For the utility of this study, the themes and potential gaps in quality assurance rubrics and scorecards is generally defined as the recurring…

As institutions implement more comprehensive hazing prevention efforts, assessment is a necessary strategy for ensuring that programs and services for students are achieving their intended outcomes, especially as hazing behaviors change and evolve. Using a multi-stage student learning and development outcomes cycle, this article outlines steps to…

In analytical chemistry, discussing different method sand techniques of analysis is essential to promote critical thinking and reasoning. Analytical courses in the chemist, pharmacist, and biochemist curricula represent the opportunity to study concepts such as experimental design, sampling, development, and optimization of protocols, data…

Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…

Purpose: The purpose of this paper is to explore more agile and effective learning processes that help identify potentially high-performing staff during workplace training. Design/methodology/approach: To test the efficacy of the learning-oriented assessment (LOA) process in workplace training, a pharmaceutical sales organization implemented an…

Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…

Collaborative testing and its benefits have been reported in diverse disciplines across different types of academic institutions. However, there has been minimal research conducted on collaborative assessments in medical schools, particularly in the gross anatomy laboratory. The objectives of this study were to explore the effect of collaborative…

Background: Draw-A-Scientist Test (DAST) has been one of the most used instruments to study conceptions of scientists and science. It has been especially useful for charting the conceptions of younger children who might lack the skills to express themselves in writing. However, recent studies suggest that instead of children's conceptions of the…

The subjective aspect of standard-setting is often criticized, yet data-driven standard-setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional…

While much research has explored the quality of traditional teacher evaluations, little is known about the quality of ratings in preservice teacher evaluations. This paper presents a case study of Many-facet Rasch measurement (MFR, Linacre, 1989) to explore potential rater effects influencing the quality of supervisor ratings in educator…

Lecturers often claim that time constraints cause tension regarding feedback on students' assessment opportunities. Assessment strategies for effective feedback procedures can lead to early identification of problem areas in student performance. Numerous students at higher education institutions (HEIs) do not complete their qualifications or take…

Principles focused evaluation (PFE) can complement existing formative and outcome evaluation plans by identifying Effectiveness Principles (EPs), an operationalization of values and standards that guide practitioners during program implementation. To date, however, few examples of PFE are available in the literature. This description of the…