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…

One result of recent changes in testing is that previously established linking frameworks may not adequately address challenges in current linking situations. Test linking through equating, concordance, vertical scaling or battery scaling may not represent linkings for the scores of tests developed to measure constructs differently for different…

This article presents the performance of item response theory (IRT) models when double ratings are used as item scores over single ratings when rater effects are present. Study 1 examined the influence of the number of ratings on the accuracy of proficiency estimation in the generalized partial credit model (GPCM). Study 2 compared the accuracy of…

Comparative judgment is gaining popularity as an assessment tool, including for high-stakes testing purposes, despite relatively little research on the use of the technique. Advocates claim two main rationales for its use: that comparative judgment is valid because humans are better at comparative than absolute judgment, and because it distils the…

Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

This study examines the efficacy of artificial intelligence (AI) in creating parallel test items compared to human-made ones. Two test forms were developed: one consisting of 20 existing human-made items and another with 20 new items generated with ChatGPT assistance. Expert reviews confirmed the content parallelism of the two test forms.…

Educational assessments often require uniform test forms, for which each test form has equivalent measurement accuracy but with a different set of items. For uniform test assembly, an important issue is the increase of the number of assembled uniform tests. Although many automatic uniform test assembly methods exist, the maximum clique algorithm…

State education systems in the U.S. experienced major disruptions due to the COVID-19 pandemic. Results from assessments administered during, and at the conclusion of, the 2020-21 school year indicate substantial 'unfinished learning', with the losses generally greater among disadvantaged and marginalized students. States' assessment systems are…

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…

This article discusses how comparability relates to current mainstream conceptions of validity, in the context of educational assessment. Relevant literature was used to consider the relationship between these concepts. The article concludes that, depending on the exact claims being made about the appropriate interpretations and uses of the…

This research explores students' homework engagement across three dimensions: (a) cognitive, (b) emotional, and (c) behavioral activities, specifically contrasting private and public secondary schools in Addis Ababa. A qualitative research methodology was utilized, with reliability and validity assessments carried out through peer review, site…

The authors are investigating potential applications of adaptive comparative judgment (ACJ) across numerous environments and learning scenarios within the Purdue Polytechnic Institute as part of Purdue's efforts to transform the undergraduate learning experience. Six courses or program areas were selected for the study, involving a wide variation…

This study reviews the traditional culminating graduate student experiences, theses, and comprehensive exams, as well as a newer, more professionally relevant option, applied research projects. We conceptualize applied projects as student-led, client-connected, hands-on, experiential projects that address a real-world communication problem or…

This paper comprehensively evaluates the online learning experience of secondary and senior secondary school students during COVID-19 in India. Nine hypotheses have been developed to explore the implications of students' online experiences and identify students' learning experiences using online platforms in contrast to their experience in…