Identifying mathematically gifted students is an important objective in mathematics education. To describe skills typical of these students, researchers pose problems in several mathematical domains whose solutions require using different mathematical capacities, such as visualization, generalization, proof, creativity, etc. This paper presents an…

Adults are increasingly self-identifying as autistic, and reporting problems being referred for an autism diagnostic assessment. This scoping review aims to ascertain: (1) what research has been conducted on the self-identification process of autism in adults, who do and do not have a formal diagnosis of autism, and (2) which aspects of the…

The rapid advancement of language translation tools and generative artificial intelligence applications has significantly facilitated the production of academic research while simultaneously introducing new challenges to maintaining academic ethics and detecting plagiarism. This study examines how plagiarism rates vary when academic texts are…

Understanding software modelers' difficulties and evaluating their performance is crucial to Model-Driven Engineering (MDE) education. The software modeling process contains fine-grained information about the modelers' analysis and thought processes. However, existing research primarily focuses on identifying obvious issues in the software…

Low target prevalence affects perceptual decisions on both simple and complex stimuli. Without prior knowledge of how often targets may appear, trial-by-trial accuracy feedback modulates the effects of low prevalence partially by providing observers with information about the target base rate. Using simple colored dots, Lyu (PBR 28:1906-1914,…

Purpose: Children who have late language emergence, or are late talkers (LTs), have substantially lower vocabulary levels than their peers, on average. Notably, differences in how researchers define "who" comprises LTs can lead to inconsistencies across findings. The current study examined how the number of children identified as LTs…

This paper presents a novel approach for mitigating wormhole attacks on wireless networks using propagation delay timing. The wormhole attack is a persistent security threat that threatens the integrity of network communications, potentially leading to data theft or other malicious activities. While various methods exist for combating wormhole…

Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…

Being able to call on students during class increases the likelihood of instructor immediacy. As a result, due to a decrease of distance between students and the instructor which may increase the likelihood of creating an inclusive environment. An inclusive pedagogical strategy that has been shown to be effective in knowing student names is the…

Fluency confound (FC) has been a widely studied issue in divergent thinking (DT) tasks. In this study, the impact of DT task structure on FC was examined by focusing on activity level data from Torrance Tests of Creative Thinking (TTCT)-Figural. The TTCT-Figural involves two different task structures. Prompts in Activities 1 and 2 are designed for…

The early detection of neurodevelopmental disorders (NDDs) can significantly improve patient outcomes. The differential burden of non-synonymous de novo mutation among NDD cases and controls indicates that de novo coding variation can be used to identify a subset of samples that will likely display an NDD phenotype. Thus, we have developed an…

Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…

ASD is a neurodevelopmental disorder impacting 1 in 44 children and early identification of children with ASD is critical for the intervention. Several screening measures have been developed for early identification, including the "Autism Spectrum Rating Scales, 6-18 years Parent Report (ASRS)." The ASRS has been understudied, and the…

With the emergence of Artificial Intelligence (AI), smart education has become an attractive topic. In a smart education system, automated classrooms and examination rooms could help reduce the economic cost of teaching, and thus improve teaching efficiency. However, existing AI algorithms suffer from low surveillance accuracies and high…

Objective: Define microbiological characteristics of pathogens causing lower urinary tract infections (LUTI), frequency of "Chlamydia trachomatis" (CT) or "Neisseria gonorrhea" (GC), and accuracy of self-diagnosis by college women with LUTI symptoms. Participants: Sexually active women with LUTI symptoms attending a large…