Validity of performance standards is a key element for the defensibility of standard setting results, and validating performance standards requires collecting multiple pieces of evidence at every step during the standard setting process. This study employs a statistical procedure, latent class analysis, to set performance standards and compares…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

This paper utilises Bernstein's theorising of curriculum and pedagogical relations to analyse Physical Literacy (PL) assessment with implications for the field of Health and/Physical Education (H/PE). It acknowledges the significance of assessment for what knowledge and skills are valued in PL and in turn, H/PE. PL takes different forms and is…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…

The use of grade point average (GPA) as a means to summarise learning is a novel practice in the UK. The aim of this study was to determine if the inclusion of assessment results from student's first-year of study in the calculation of GPA is deleterious to students from a widening participation (WP) background. Assessment marks of full-time…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

Here, we describe the development and validation of an automatic assessment system that examines students' hand-drawn visual representations in free-response items. The data were collected from 1,028 students in the second through 11th grades in South Korea using two items from the Test About Particles in a Gas questionnaire (Novick &…

Higher educational institutions (HEIs) play a substantial role in the development of knowledge and skills that can cope with the demands of industries in the fourth industrial revolution (4IR). This study examined the alignment between the current assessment practices used by HEIs and the competencies demanded by the hospitality and tourism…

This paper explores the institutional pressures and responses associated with introducing integrated reporting into university-level accounting education in Sri Lanka. In particular, we are looking to see whether those responses lead to deep or surface learning in students. Drawing on the theory of new institutional sociology, the institutional…

With the ubiquity of digital technology in K-12 education, digital competency frameworks for teachers have been published over the past several years that range from local initiatives to international standards. This study aims to understand how teachers' digital competence is envisioned and implemented in an ecosystem of existing frameworks,…

In the context of the United States K-12 school system, reclassification processes of emergent bilinguals are laden with high-stakes assessments. Largely absent in reclassification scholarship is the consideration of how reclassification policies uniquely affect those learners with identified disabilities. Applying an intersectionality lens that…

Centers for Teaching and Learning (CTLs) are important change agents on campus with strategies that are unique and impactful--but sometimes unarticulated or misaligned. In this wide-ranging book, Mary C. Wright maps the landscape of 1,200+ CTLs in the United States through a unique approach: by conducting complex web searches to identify and…

This paper aims to provide a tentative roadmap for ensuring that higher education policy makers and practitioners are apprised of what might be done to advance a concept of socially just assessment praxis. It extends current thinking around the notion of social justice approaches to assessment by further developing the conceptual framework…

Artificial Neural Networks (ANNs) have been proposed as a promising approach for the classification of students into different levels of a psychological attribute hierarchy. Unfortunately, because such classifications typically rely upon internally produced item response patterns that have not been externally validated, the instability of ANN…