MOOCs (massive open online courses), because of their scale and accessibility, have become a major area of interest in contemporary education. However, despite their growing popularity, the question of their quality remains a central concern, partly due to the lack of consensus on the criteria establishing such quality. This study set out to fill…

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…

Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…

Addressing the Sustainable Development Goals (SDGs) has become of paramount importance for higher education institutions; however, a lack of a transparent, transferrable approach to identifying and quantifying the extent of SDG contributions hinders the ability to benchmark against past performance or other institutions. In this study, a…

It has become a common practice to categorize the different perspectives on media education as following either a protectionist approach or an empowerment approach. However, the way scholars write about the distinction between these two approaches can be confusing and sometimes misleading. This article presents an examination into the ways media…

Aim/Purpose: This paper presents a machine learning approach for analyzing Course Learning Outcomes (CLOs). The aim of this study is to find a model that can check whether a CLO is well written or not. Background: The use of machine learning algorithms has been, since many years, a prominent solution to predict learner performance in Outcome Based…

This article reframes the debate on the validation of non-formal and informal learning by connecting it to the sociology of education and curriculum studies literatures. Building on these literatures, the article differentiates between four types of validation: (a) covert and implicit, (b) covert but embedded, (c) overt and functional and (d)…

The log-linear cognitive diagnosis model (LCDM) is a modern technique that dichotomously classifies individuals (e.g., possession and non-possession) on attributes of a multidimensional construct, which is particularly suited to diagnostic and formative assessments where a classification decision is desired (e.g., to assign intervention or not).…

The application of diagnostic classification models (DCMs) in the field of educational measurement is getting more attention in recent years. To make a valid inference from the model, it is important to ensure that the model fits the data. The purpose of the present study was to investigate the performance of the limited information…

Quality is currently an often-used term in all areas of human activity. However, the measurement of quality is very problematic in the field of education, particularly if no specific, comprehensible criteria for its measurement, accepted by most subjects active in the specific sector, exist. Monitoring quality in the field of education is…

Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…

The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…

Teaching is a complex endeavor that requires deep knowledge of content, pedagogy, and students. Educational stakeholders design teacher competence frameworks to outline the knowledge, skills, and dispositions that teachers need to have to improve their teaching activity. These competence frameworks are guided by research and theory and tend to…

This article critically reviews how diagnostic models have been conceptualized and how they compare to other approaches used in educational measurement. In particular, certain assumptions that have been taken for granted and used as defining characteristics of diagnostic models are reviewed and it is questioned whether these assumptions are the…

Purpose: The purpose of this article is to explore the relationship between the COVID-19 pandemic and the potential to use this challenging global context as an opportunity to build back better and more equitable educations systems. Design/methodology/approach: The approach taken involves drawing on the emerging literature to explore the…