The gender gap continues to exist in physics education. The author examines the gender-related differences in the relations and strengths among personal epistemologies, motivation, and achievement in physics among Turkish high school students. Established questionnaires were used to identify students' personal epistemologies, motivations and…

Studies have shown that item difficulty can vary significantly based on the context of an item within a test form. In particular, item position may be associated with practice and fatigue effects that influence item parameter estimation. The purpose of this research was to examine the relevance of item position specifically for assessments used in…

Individuals with autism spectrum disorder (ASD) have higher rates of co-occurring diagnoses and use of psychotropic medication prescriptions than people with other developmental disabilities. Few studies have examined these trends in samples of people with intellectual and developmental disabilities (IDD) with and without ASD. Using a random…

In order to determine the effectiveness of a Gastrointestinal Severity Index to screen for gastrointestinal disorders, the Gastrointestinal Severity Index was administered to 135 children with autism spectrum disorders and 146 comparisons with and without gastrointestinal disorders. The mean Gastrointestinal Severity Index scores of the groups…

Autistic traits and executive function (EF) were assessed in 413 typically developing children aged 6-9 years. The children were divided into the high- autistic-trait (HAT) and low-autistic-trait (LAT) groups based on their total autistic traits. Results suggested that there were gender differences in specific autistic traits in children with LAT.…

MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…

The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…

This chapter considers some of the limit points of contemporary relations between International Large-Scale Assessments, learning analytic platforms, and theories of mind circulating in contemporary comparative and transnational educational policy discourses. First, aspects of the rise of Big Data and predictive analytics are historicized, with…

Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…

Purpose: For this purpose, Teacher Self-Regulation Scale (TSRS), Emotions Questionnaire for Teachers (EQT) and Grasha's Teaching Style Inventory (TSI) were employed to gauge the influences of teacher self-regulation on university teachers' emotions and preferred teaching style. The participants of this study were 320 university teachers, majored…

This study investigated the role of cross-linguistic similarity in the acquisition of Russian initial stop contrasts by Chinese learners, addressing two specific research questions: (1) How similar are Russian voiced stops to Mandarin stops for Chinese learners?; and (2) How can the speech learning model (SLM) be applied to account for the…

The self-determination theory (SDT) has been used to understand students' motivation at school in general as well as in various school subjects. This literature review conducted on a number of SDT studies showed that (1) autonomous types of extrinsic motivation as well as intrinsic motivation leads to positive consequences for students; (2) the…

A strategy for allocating merit-based awards and need-based aid is critical to a university. Such a strategy, however, must address multiple, sometimes competing objectives. We introduce an approach that couples a gradient boosting classifier for predicting outcomes from an allocation strategy with a local search optimization algorithm, which…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

Citizens show misunderstandigs about groundwater that hinder making informed decisions about problems like the deterioration of aquifers. Science education should address this, including modelling practices about the aquifer model. Physical models (PM) have been extensively used in geology teaching, but students rarely construct, evaluate or…