Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…

Computer simulations are considered efficient in supporting exploratory learning. This paper highlights instruction challenges and undesirable consequences on student learning in exploratory learning with computer simulations in classroom situations. A classroom with students who explore using simulations contains ideas explicated on several…

Research Findings: Despite widespread calls to advance equity in early childhood classrooms, there are few observational measures of equitable classroom processes that can be used for academic research or professional development for teachers. In this study, we investigate the psychometric properties of an observational measure of equitable…

Network meta-analysis has played an important role in evidence-based medicine for assessing the comparative effectiveness of multiple available treatments. The prediction interval has been one of the standard outputs in recent network meta-analysis as an effective measure that enables simultaneous assessment of uncertainties in treatment effects…

This study examined the nexus between institutional training and development and employee performance from private universities in Ghana using Principal Components Regression (PCR). The study employed exploratory design through the quantitative and cross-sectional survey methods for data collection. The questionnaires were administered 384…

The purpose of the current study was to examine the effectiveness of virtual reality as a creative adaptive learning tool to help participants control their perceived stress and, in turn, their psychological well-being. The study leveraged humanistic learning theory to conceptualize findings. 353 participants were recruited from five high schools…

Research indicates that university instructors struggle with compromised subjective well-being (SWB) and have faced further challenges due to the COVID-19 pandemic. Although studies have found instructors' achievement goals to be important motivational factors linked to their well-being, longitudinal research is needed to clarify the…

Predicting the actual performance of strategy use with self-report questionnaires is difficult, especially among elementary school children. Nevertheless, due to the simplicity of self-report questionnaires, it is desirable to identify one that can predict children's performance of actual strategy use. This study investigated whether a self-report…

The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…

The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…

The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…

Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…

This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…

The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…

Today, with the extension of learning management systems (LMSs) and the diversity of learners' needs for online learning, instructors have to be assisted to adapt their syllabus to meet learners' needs. Therefore, it is necessary to tailor course instruction to meet individual needs and determine how well they serve the learners using these online…