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…

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…

A typology of budget-driven program reviews is categorized by two variables: the locus of responsibility and the timing of the review. When a budget-driven program review is first implemented during a crisis, the range of financial and administrative options are high, yet buy-in and match to mission are low. When a budget-driven program review is…

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…

This article analyses an assessment initiative known as the Basic Competency Assessment (BCA) in Hong Kong using Bernstein's performance and competence models of pedagogic practice. On the one hand, BCA is aligned with a competence model through its official projection as a low-stakes, student-focussed and formative assessment. However, an…

Research has shown that construction projects in Saudi Arabia have had a perceived poor performance for the past three decades, from 1970-2016. The Saudi construction industry relies on a Contractor Classification System (CCS) to determine contractors' capabilities, and prevent underperformance. Through this study, a survey was conducted among…

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,…