Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…

Advising programs for undecided/exploratory students risk reinvention of the wheel through lack of familiarity with existing literature. This lack can also leave the scholar and the practitioner unable to identify potential gaps within the research. Applying the methodological approach of qualitative historiography to literature from 1950 to 2022,…

This study explored the relationship between multicultural distress and general stress symptoms and the academic achievement of college students attending a Minority-Serving Institution (MSI). Research suggests that students who identify as being from a racial or ethnic minority background are likely to experience multicultural distress. Such…

In this paper, we explore the complicity of writing centers in the Global North in global neocolonialism despite its resounding rejection within Western writing center scholarship, in which Romeo García contends that writing tutors can be "decolonial agents." We show that higher education is used by governments in the Global North as a…

We introduce "Ricerca Operativa Applicazioni Reali" (ROAR; in English, "Real Applications of Operations Research"), a three-year project for higher secondary schools. Its main aim is to improve students' interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

Leal, Vrij, Deeb, and Jupe (2018) found--with British participants--that a model statement elicited (a) more information and (b) a cue to deceit: After exposure to a model statement, liars reported significantly more peripheral information than truth tellers. We sought to replicate these findings with Arabs living in Israel. Truth tellers and…

Meta-analysis and structural equation modeling (SEM) are 2 of the most prominent statistical techniques employed in the behavioral, medical, and social sciences. They each have their own well-established research communities, terminologies, statistical models, software packages, and journals ("Research Synthesis Methods" and…

Reading involves and is influenced by many factors, which makes reading difficult to understand, teach, and explain to parents, policymakers, and other stakeholders. A metaphor of driving, which likens reading to an everyday practice, demystifies complexities inherent in reading. Both reading and driving are active, strategic processes. Just as…

In this study, it is aimed to investigate the effects of various factors on the performance of the methods used in the determination of differential item functioning (DIF) in the DINA model included in the Cognitive Diagnosis Models. The current study is limited with Logistic Regression and Wald test methods which were used to determine the…

Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…

In order to be reusable, history-based feature-based parametric CAD models must reliably allow for modifications while maintaining their original design intent. In this paper, we demonstrate that relations that fix the location of geometric entities relative to the reference system produce inflexible profiles that reduce model reusability. We…

Most recent research on teacher evaluation examines evaluation's measurement properties and accountability uses. Less research studies how evaluation data can improve teaching and student learning. In other contexts, researchers have examined how teachers use data to improve their practice. From general research on teachers' data use, we apply the…

Rater-mediated assessments are a common methodology for measuring persons, investigating rater behavior, and/or defining latent constructs. The purpose of this article is to provide a pedagogical framework for examining rater variability in the context of rater-mediated assessments using three distinct models. The first model is the observation…

The field of adaptive e-learning is continuously developing. More research is being conducted in this area as adaptive e-learning aims to provide learners with adaptive learning paths and content, according to their individual characteristics and needs, which makes e-learning more efficient and effective. The learner model, which is a…