Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…

In this study, we introduce a framework designed to help educators assess the effectiveness of popular generative artificial intelligence (AI) tools in solving authentic assessments. We employed Bloom's taxonomy as a guiding principle to create authentic assessments that evaluate the capabilities of generative AI tools. We applied this framework…

In military operations, rapid and accurate decision-making is crucial, especially in visually complex and high-pressure environments. This study investigates how eye and head movement metrics can infer changes in search behavior during a naturalistic shooting scenario in virtual reality (VR). Thirty-one participants performed a foraging search…

This study focuses on the state and effectiveness of national funding systems of Higher Education to support the European Universities Initiative. Its focus lies on the mechanisms employed by Member States for the core funding of higher education institutions, in particular the mechanisms that include performance elements. More specifically, the…

The newly adopted performance-based evaluation and funding model is one of the recent quality initiatives taken by the University Grants Commission in India, which aims to improve quality in management and administration of federally funded universities in India. The article critically analyses the 2020 released ranking based on this model and…

Recent trends in "educational technology" have led to emergence of methods such as teaching analytics (TA) in understanding and management of the teaching-learning processes. Didactically, "teaching analytics" is one of the promising and emerging methods within the Education domain that have proved to be useful, towards…

Authentic assessment is revered to support student learning, but it is typically described within the context of work-integrated learning and professional schools, leaving one to question whether a classroom-based curriculum can offer authentic assessments. This study documented the prevalence of authentic assessments throughout a complete health…

Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…