The assessment of workplace learning by educators at the workplace is a complex and inherently social process, as the workplace is a participatory learning environment. We therefore propose seeing assessment as a process of judgment embedded in a community of practice and to this purpose use the philosophy of inferentialism to unravel the judgment…

Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…

This article uses scientific methods and means to evaluate the value, elements, and processes of physical education, consistent with preset evaluation indicators through sample calculation, and then derives the characteristics of decision-making, the objectivity of indicators, the order, and other characteristics of the process. The authors have…

There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…

Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…

Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…

This paper contributes to the ongoing efforts aimed at enhancing Outcome-Based Education (OBE) assessment methodologies by addressing some critical gaps and exploring new solutions. Our work focuses on two main areas: firstly, this study proposes an improved assessment method for OBE. It refines traditional approaches by classifying course…

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…

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…

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…