The assessment of human performance is not a new phenomenon. We have evidence that people have been required to prove their worth dating back at least to the Epic of Gilgamesh. What has changed, at least on a large scale, is the importance given to quantitative evidence in the evaluation process. For example, many employers have begun subjecting…

Traditional authentic assessment tasks are frequently tied to future work and enmeshed in neoliberal and capitalist visions of education. We advocate an alternative approach where authenticity signifies meaningful learning outside the confines of the classroom to promote deep learning that 'sticks'. We proffer an understanding of "assessment…

The purpose of this article is to review the literature on the issue of grading as a method and technique of expressing students' performance in terms of school reality. Initially, a growing concern about the role of assessment of student's performance in the learning and, generally, in the educational process, is highlighted. Subsequently, the…

Education in Doctor of Medicine programs has moved towards an emphasis on clinical competency, with entrustable professional activities providing a framework of learning objectives and outcomes to be assessed within the clinical environment. While the identification and structured definition of objectives and outcomes have evolved, many methods…

Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…

The performance decision tree (PDT; Fulcher et al., 2011) is a rubric style that is applicable to performance assessment, with origins in Upshur and Turner's (1995) empirically derived binary-choice, boundary-definition (EBB) scale. It is easier for raters to assess performance by evaluating multiple binary-choice descriptors. Additionally,…

This study investigates the quality of higher education institutes' (HEIs') administrative services by assessing student satisfaction in the context of Total Quality Management (TQM). Differences between students' perceptions and expectations of administrative service quality are examined and discussed. A questionnaire survey was developed…

Higher Education faces challenges in providing learning experiences and cultivating competencies in our modern environment. Academic discourse centres on tutoring automation, a complicated educational dilemma in the age of Machine Learning, Deep Learning, and Artificial Intelligence. Establishing a structured technique for real competency…

Rubrics are assessment guides for grading and giving feedback to students while demonstrating acquired knowledge and skills. In the last decades, rubrics have been all part of the most used learning evaluation tools in higher education. Its use is further well-related to competency-based assessment purposes. Nevertheless, criticism around design…

Work-integrated learning (WIL) has become an increasingly common feature of higher education curricula. Two aspects of WIL, authenticity and consistency, are valued in different ways by the stakeholders involved. Authenticity, by its very nature, supports the idea of learning being personalized and unique. Consistency, on the other hand, is…

Comparative Judgement (CJ) aims to improve the quality of performance-based assessments by letting multiple assessors judge pairs of performances. CJ is generally associated with high levels of reliability, but there is also a large variation in reliability between assessments. This study investigates which assessment characteristics influence the…

Math anxiety levels directly and negatively impact student performance in the math classroom. Educators must work to implement instructional strategies that effectively reduce math anxiety and improve student math performance. This study evaluated mastery learning interventions as an effective tool for reducing math anxiety among middle school…

Effective assessments guide student learning, refine teaching practices, ensure curriculum alignment, and foster workforce readiness. However, the emergence of generative artificial intelligence (GenAI) tools, such as ChatGPT, has significantly disrupted traditional assessment processes, raising concerns about academic integrity and necessitating…

The study established the validity and reliability of a weighted individual performance-based assessment tool within the utility scope of middle school orchestral strings. The following research questions guided this study: 1. What specific string-playing behaviors and corresponding criteria validate a weighted individual performance-based…

Sparse-rated data are common in operational performance-based language tests, as an inevitable result of assigning examinee responses to a fraction of available raters. The current study investigates the precision of two generalizability-theory methods (i.e., the rating method and the subdividing method) specifically designed to accommodate the…