Background: Speech sound disorders (SSDs) in children are heterogeneous. Differentiating children with SSDs into distinct subtypes is important so that each child receives a treatment approach well suited to the particular difficulties they are experiencing. Aims: To study the distinct underlying processes that differentiate phonological…

Detection of metal ions in solution has been performed without employing H[subscript 2]S or any other sulfide materials. The new method is free from the interference from anions. Identification of Na[superscript +], K[superscript +], and NH[subscript 4][superscript +] has been made possible directly from an aqueous extract of the sample mixture. A…

This article presents a general-purpose method for detecting cheating in online courses, which combines anomaly detection and supervised machine learning. Using features that are rooted in psychometrics and learning analytics literature, and capture anomalies in learner behavior and response patterns, we demonstrate that a classifier that is…

Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying talent among many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using…

Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using traditional…

Even though the most prevalent category of disability served in the U.S. school system is specific learning disabilities (SLD), practitioners are often unfamiliar with the indicators associated with a specific LD such as dysgraphia and dyslexia. Misconceptions or an absence of understanding of the behavioral indicators related to dysgraphia and…

Emerging social work academics and researchers are warned about not falling victim to predatory publishers and journals; however, predatory conferences are increasingly common and present a real threat to research integrity. Anyone, regardless of age or experience, can fall victim to predatory or "fake conferences." Their duplicitous and…

Typically developing children learn to name things without explicit teaching (Fiorile & Greer, 2007), but this is not always possible when teaching a child with a disability such as autism (Olaff et al., 2017). Labels of nonvisual and internal stimuli are generally harder to teach than visual ones due to the absence of physical reference and…

Single and multiple sense stimuli create sensescapes, which combine to be perceived as multisensory integrated products. Such encounters may be experienced across multiple spaces and have importance due to esthetic sensuality, cultural value, economic benefit, or religious significance. This article presents a methodological protocol for the…

The implementation of prereferral models was being discussed in educational literature as early as 1979. Over the past decade, schools in the United States have begun to adopt prereferral models to meet multiple goals, such as reducing inappropriate referrals to special education, supporting students who face academic and behavioral challenges,…

Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…

Abstraction in business processes (BP) modeling arises from the recognition of similarities to the detriment of its differences. However, teaching modeling to beginning students in the context of process management is a hard task to perform, given the high level of abstraction required for these students to develop. This paper uses BP fragments to…

Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…

We propose that wisdom should be considered in understanding, identifying, and developing skills of thought translated into action in gifted children and adults. First, we review some of the history of the gifted field and conclude that ideas about understanding, identification, and instruction are largely obsolete and based on assumptions that…

Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…