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…

Social network analysis (SNA) examines the relationships that an individual speaker creates and maintains with others in order to explain and predict language behavior. Over the past 20 years, SNA has been used by a growing number of researchers to better understand the language learner and the language learning process, especially in the context…

Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…

Motivation and self-concept count among the educationally most relevant factors and the evaluation of many educational interventions requires their valid measurement. The present study examined the psychometric properties of a shortened version of the Students' Approaches to Learning questionnaire measuring 10 distinct motivational and…

Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…

We examine the second language (L2) acquisition of variable Spanish word order by first language (L1) speakers of English via the acquisition of unaccusative and transitive predicates in various focus-related contexts. We employ two bimodal linguistic tasks: (1) acceptability judgment task (B-AJT) and (2) appropriateness preference task (B-APT).…

This study investigated how word and child characteristics affect children's ability to learn the meanings of novel words. Participants were fourth- and fifth-graders representing native English speakers (NE) and bilingual learners with fluent English proficiency (FEP) and designated English Learners (EL). Students were taught the meanings of a…

Prediction from early development to later achievement has the potential to improve clinical and educational service delivery as well as to inform developmental theory. In this longitudinal study, we asked how well can educational achievement measured in the final year (Grade 9, age 15) of compulsory education--both overall and for outcomes in the…

Research Findings: The present study examined the relationship between poverty (income-to-needs ratio [INR], parent education, material hardship, and food insecurity) and children's school readiness (vocabulary, mathematic skills, and phonological awareness) through the mediating roles of stimulation and chaos in the home environment, maternal…