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…

Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…

Linguistic accuracy (LA) has been shown to be indicative of second language (L2) essay quality through the use of various measurements, such as error counts and error-free T-units. However, concerns persist regarding the precise definition of LA, as findings in recent literature often depend on the specific measures of LA employed. This study…

Usage-based theories of children's syntactic acquisition (e.g., Tomasello, 2000a) predict that children's abstract lexical categories emerge from their experience with particular words in constructions in their input. Because modifiers in English are almost always prenominal, children might initially treat adjectives similarly to nouns when used…

Despite considerable interest in children's ability to provide temporal information, there remain many unanswered questions about what children can provide and how to elicit this information. In Study 1, children (N = 147, aged 5 to 10 years) participated in an activity session. Either shortly after or 1 day later, children completed an interview…

In a seminal paper, Moher (Psychol Sci 31(1):31-42, 10.1177/0956797619886809, 2020) reported that a salient distractor induced observers to quit the search early when the target was absent and increased the error rate when the target was present. This early quitting effect (EQE) was considered to impact real-world target detection. We were…

Across two studies, children ages 6-9 (N = 160, 82 boys, 78 girls; 75% White, 91% non-Hispanic) rated an inaccurate expert's knowledge and provided explanations for the expert's inaccurate statements. In Study 1, children's knowledge ratings decreased as he provided more inaccurate information. Ratings were predicted by age (i.e., older children…

Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems…