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…

Learning-oriented assessment (LoA) has emerged as a learning approach to improving student learning. The integration of LoA into vocational education creates a powerful framework that not only assesses students' competencies effectively but also enhances their learning experience by making it more relevant, practical, and aligned with industry…

Background/Context: The reckoning with racial injustice and growing inequality that have become hallmarks of the early 2020s in the United States has implications for impact analysis and the evidence it produced for public policy decision-making. Various researchers have highlighted the shortcomings that impact analyses have when estimating the…

In March 2022, Child Trends contracted with the Minnesota Department of Human Services (DHS) to conduct an independent evaluation of Parent Aware, Minnesota's quality rating and improvement system (QRIS) for early care and education (ECE) programs. The evaluation, required by the 2021 Minnesota Legislature, includes several research activities…

Those asked to make valid decisions with data don't have the technical knowledge to understand nuance around data quality, assessment aims, and statistical limitations that influence how they should interpret the data. This reality is what Greg Thompson, Leslie Rutkowski, and David Rutkowski call the validity paradox. Educators can surmount this…

The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, "Machine Learning" (ML) emerges as an increasingly important skill in the toolbox of measurement…

To be successful in producing improvement, assessment must be "part of a larger set of conditions that promote change" (Astin et al. 1992). To identify the enduring principles likely to produce the specific conditions to promote change, the author turned to two sources: (1) W. Edwards Deming's classic 1982 book, "Out of the Crisis:…

This research aimed to investigate the current conditions in measuring and assessing learning, particularly in the COVID-19 situation at a secondary school in Udonthani. Data was collected qualitatively through interviews with a school director, academic supervisor, teacher, student, parent, and supervisor. The data were analyzed and categorized…