The "Excellence in Assessment" (EIA) designation's purpose has been to recognize institutions of higher education that demonstrate an ability to integrate assessment practices throughout the institution, provide evidence of student learning outcomes, and use assessment results to guide decision-making and improve student performance.…

This article seeks to contribute to the reflection around the training of future designers regarding teamwork. Collaboration, teamwork and negotiations are common everyday interactions that are now known to contribute positively to the design process. This article builds on a theoretical model that was initially proposed as a Ph.D. thesis…

Effective assessment relies on comprehensive and inclusive stakeholder community building. However, developing such communities of judgement is a challenge that institutions regularly face. This argument presents faith-contextualized assessment as a powerful methodology for building robust assessment communities respecting of, and even…

This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

This report investigates the link between different 5 percentage point bandings of attendance and attainment for pupils at the end of Key Stage 2 (KS2) and Key Stage 4 (KS4) in state-funded mainstream schools in 2022/23. Absence from school is not the only factor that is likely to affect a pupil's level of attainment. There are a range of pupil,…

Educational tests often have a cluster of items linked by a common stimulus ("testlet"). In such a design, the dependencies caused between items are called "testlet effects." In particular, the directional testlet effect (DTE) refers to a recursive influence whereby responses to earlier items can positively or negatively affect…

Multidimensionality is common in psychological and educational measurements. This study focuses on dimensions that converge at the upper anchor (i.e. the highest acquisition status defined in a learning progression) and compares different ways of dealing with them using the multidimensional random coefficients multinomial logit model and scale…

Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…

Auburn University engaged in the reaffirmation process with SACSCOC (institutional accreditor) and received recommendations surrounding assessment practices. It was from these recommendations that the Office of Academic Assessment (OAA) was created in July 2015, providing dedicated assessment support to faculty responsible for educational…

How could assessment inclusively consider the diversity of students? In higher education, the most common answer is: through individual assessment accommodations. Inclusive assessment design has also been promoted to foster accessibility for all students. However, both of these approaches have largely drawn on the procedural understanding of…

In innovation and entrepreneurship education, how to effectively use big data technology to improve the quality of education has become an urgent problem. In this article, the authors summarize the development of big data technology and its application background in higher education and point out the limitations of traditional education quality…

Over the past decade, the intentional promotion of student and staff wellbeing (i.e., positive states of psychological, cognitive, social and physical being) has become recognized as an essential dimension of quality schooling. This development has coincided with a growing body of research that demonstrates significant correlations between…

A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…

A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…

Online learning has become an important advance in education in the last decade. We developed an online learning system related to land and tree measurements. University students were given pre- and postexposure surveys for two courses offered within the online system. Surveys were designed to assess whether the knowledge level and confidence of…