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…

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…

The Swedish system of research funding has undergone major changes, while competitive funding schemes gradually have gained popularity, at the expense of institutional block grants. In recent years, there has been a strong drive to improve research performance in universities as a result of governmental desires, resulting in performance-based…

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…

The purpose of this study was to build a Random Forest supervised machine learning model in order to predict musical rater-type classifications based upon a Rasch analysis of raters' differential severity/leniency related to item use. Raw scores (N = 1,704) from 142 raters across nine high school solo and ensemble festivals (grades 9-12) were…

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…

Evaluators play a central role in assessments of researchers' performance for reward, but the nature of their role and influence is not well understood. Ongoing reliance on evaluator judgement is typically justified as a need for referees in contests for reward, because quantitative performance measures alone can be subject to distortion. Yet, if…

This paper summarises a new method of grouping postgraduate taught (PGT) courses introduced at Oxford Brookes University as a part of a Portfolio Review. Instead of classifying courses by subject, the new cluster approach uses statistical methods to group the courses based on factors including flexibility of study options, level of specialisation,…

The study analyzed the directives in the English major examinations collated from Batangas State University. It covered the instructors extent of use of examination types. At the end of the study, a set of guidelines in the construction of directions was proposed. The descriptive method of research was utilized with the questionnaire as the main…

Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…

Increased graduate employment is an aspiration of Australian universities who are adopting new and innovative approaches to ensure that all students have opportunities to develop the employability skills much sought after by employers. Placements have been a traditional means for developing such skills but because these are not available to all…

A case study analyzed how supervisors at one university selected competencies, or trait-based skills, for non-faculty employees. This case study provides a valuable contribution by focusing on employees at one institution type--a large, public research university. While it has been documented that non-faculty employees provide important…

Performance-based assessment (PBA) is a valued assessment approach in medical education, be it in a clerkship, residency, or practice context. Raters are intrinsic to PBA and the increased use of PBA has lead to an increased interest in rater cognition. Although several researchers have tackled factors that may influence the variability in rater…