Background: Over the last two decades, teachers' use of models has been frequently highlighted as a possible future for physical education. Literature has also shown that collaborations between teachers and researchers can be effective in supporting teachers not only to successfully implement but also sustain their long-term use of models Despite…

Retention and persistence models share common components such as student characteristics, institutional experiences, and academic and social integration. However, few acknowledge basic needs (e.g., food, housing, transportation) and belonging as essential to student success. In this piece, the authors discuss two gaps in these models that should…

We studied aspects of undergraduate STEM majors' mathematical reasoning as they engaged in mathematically modeling a predator-prey scenario. The study used theoretical viewpoints on quantitative reasoning to inform scaffolding moves that would assist modelers in overcoming blockages to their mathematization of real-world problems. Our contribution…

Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…

An algebraic model uses a set of algebraic equations to describe a situation. Constructing such models is a fundamental skill, but many students still lack the skill, even after taking several algebra courses in high school and college. For such students, we developed instruction that taught students to decompose the to-be-modelled situation into…

Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems…

Purpose: The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size,…

Purpose: Previously, Lancaster and Camarata (2019) showed that the continuum/spectrum model of the developmental language disorder (DLD) best explained the high heterogeneity of symptoms in children with DLD. We hypothesize that the continuum/spectrum approach can include not only children with DLD but also typically developing (TD) children with…

Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…

In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo algorithm was applied to simulate the randomness of the input variables and evaluate the output distribution. It has been shown that under certain…

Purpose: The Social Responsiveness Scale (SRS) is frequently used in research settings to measure characteristics associated with autism spectrum disorders (ASD). A short version has been developed but not yet tested for certain properties of the full SRS, such as familiality. The purpose of this study was to determine if prior familiality…

Purpose: Cognitive behaviour therapy based on the Clark and Wells (1995) model is a first-line treatment for neurotypical people seeking support for social anxiety. While autistic people frequently report high social anxiety, it is unclear how appropriate the model is for this population. Methods: Over 300 autistic and non-autistic adults…

Traditional approaches to the modeling of multiple-choice item response data (e.g., 3PL, 4PL models) emphasize slips and guesses as random events. In this paper, an item response model is presented that characterizes both disjunctively interacting guessing and conjunctively interacting slipping processes as proficiency-related phenomena. We show…

This study investigates the affective and performative effects of ludicization, i.e., the process of transforming the original contexts into immersive ludic experiences based on metaphorized desired behaviors and reflexive space, on language learning. The effects of ludicization are based on an integrated model involving multidimensional…

Introduction: A number of recent studies have brought attention to the involvement of dietary salt and blood sodium levels in the etiopathogenesis of autism. In our study, by comparing the blood sodium levels of children with autism spectrum disease (ASD) and healthy children, we aimed to shed light on the etiopathogenesis of ASD. Method: We…