When selecting fillers to include in a police lineup, one must consider the level of similarity between the suspect and potential fillers. In order to reduce misidentifications, an innocent suspect should not stand out. Therefore, it is important that the fillers share some degree of similarity. Importantly, increasing suspect-filler similarity…

The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…

What happens when students cannot answer teachers' questions in oral examinations? This study investigates how teachers manage students' insufficient answers in disciplinary oral competence exams (DOCEs) in the secondary school context. Using conversation analysis, we show that teachers either pursue an answer by reformulating it and providing…

Running Records are thought to be an excellent formative assessment tool because they generate results that educators can use to make their teaching more responsive. Despite the technical nature of scoring Running Records and the kinds of important decisions that are attached to their analysis, few studies have investigated assessor accuracy. We…

A key aspect of metacognition is metacognitive accuracy, i.e., the degree to which confidence judgments differentiate between correct and incorrect trials. To quantify metacognitive accuracy, researchers are faced with an increasing number of different methods. The present study investigated false positive rates associated with various measures of…

A fundamental challenge in the cognitive sciences is discovering the dynamics that govern behavior. Take the example of spoken language, which is characterized by a highly variable and complex set of physical movements that map onto the small set of cognitive units that comprise language. What are the fundamental dynamical principles behind the…

In this study, 19 college-educated deaf adults with experience using interpreters in educational settings provided insights into how successfully various elements of classroom discourse were preserved through interpretation. The deaf adults, fluent in American Sign Language (ASL) and experienced at using interpreters, watched educational…

Purpose: Following the Rehabilitation Treatment Specification System (RTSS) framework, the current study investigated the active ingredients in the modified semantic feature analysis (mSFA) targeting either noun or verb retrieval in Mandarin-English bilingual adults with aphasia (BWA). Method: Twelve Mandarin-English BWA completed mSFA treatment…

Student academic performance prediction is a significant area of study in the realm of education that has drawn the interest and investigation of numerous scholars. The current approaches for student academic performance prediction mainly rely on the educational information provided by educational system, ignoring the information on students'…

Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…

This work examines the influence of clutter when presenting information with a head-mounted display (HMD). We compare clutter costs when displays overlay a real-world scene to the costs of visual scanning required when displays are presented separately. Using an HMD in safety-critical environments reduces repetitive visual scanning and head…

As is rapidly becoming clear, data science increasingly permeates many aspects of life. Educational research recognizes the importance and complexity of learning data science. In line with this imperative, there is a growing need to investigate the factors that influence student performance in data science tasks. In this paper, we aimed to apply…

Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…

Dropout prediction is an important strategic instrument for universities. The Austrian academic system relies on "student activity" for university funding, defined as accumulating 16+ ECTS credits per study year. This study proposes a combined method of machine learning and ARIMA models, predicting the number of studies eligible for…

Recent studies have established that even preverbal infants can monitor and regulate their mental states, raising the question of the variables involved in this early metacognitive development. Here, the metacognition of fifty-five 18-month-old (27 females; mostly White; data collection: 2023) was assessed using an eye-tracking paradigm designed…