Evidence-based early interventions for autism spectrum disorder (ASD) have been shown to improve child outcomes and quality of life (Lord et al., 2018; Reichow et al., 2018; Smith & Iadarola, 2015). However, response to intervention is variable across both children and implementation contexts. Understanding factors that influence this…

Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…

Using an information-processing approach and organisational learning theory (i.e. ambidexterity), the current innovative study examines a model for the prediction of schools' collective mindfulness and its consequences, linking principals' cognitive complexity (CC) with school ambidexterity and mindfulness, school ambidexterity with school…

No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…

With the widening urban-rural gap caused by urbanisation, the equity of urban-rural education has become a research hotspot. This study explored the differences in motivational beliefs about English learning among Chinese urban and rural students and the impact of motivational beliefs on their English performance. A total of 6326 urban and 2600…

Background: Adolescents' school engagement, mental health, and substance use have been major concerns during the COVID-19 pandemic, particularly given disruptions to school instruction. We examined how the instructional setting was associated with academic and health-related outcomes within an adolescent cohort followed during the pandemic.…

This study examined the nature of young children's literacy interest, the predictability of literacy interest for early literacy skills, and gender differences in literacy interest using a sample of Head Start children (N = 263). Literacy interest was compared across parent-, teacher-, and child-reported measures of literacy activity participation…

The two main trends in the development of higher education worldwide are universal access and digital transformation. These trends are bringing about an increase in class sizes and the growth of online higher education. Previous studies indicated that both the large-class setting and online delivery threaten the quality, and the exploration of…

With the increasing prevalence of autism diagnoses globally, the overall aim of this dissertation is to improve our understanding of the linguistic aptitude of autistic individuals. Given that the autism diagnosis is a spectrum, we rely on the Autism Quotient (AQ) test, which measures the quantity of autistic-like traits an individual possesses,…

Usage-based theories of language development underscore the importance of children using language to learn language. Few investigations have applied usage-based theories to dual language learners (DLLs), who comprise a growing share of children attending early education programs in the U.S. Three studies were carried out to investigate the role of…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

We evaluated external and internal sources of variation in second language (L2) and native language (L1) proficiency among college students. One hundred and twelve native-English L2 learners completed measures of L1 and L2 speaking proficiency, working memory, and cognitive control and provided self-ratings of language exposure and use. When…

Objective: To investigate what social, psychological, personality, and behavioral factors affect overtime heart rate changes of college students. Participants: The daily heart rates of over 600 undergraduates at the University of Notre Dame were unobtrusively recorded via Fitbit devices from August 16, 2015, to May 13, 2017. Method: Latent…

The vital role of motivation becomes even more evident when considering the digital transformation of learning and teaching environments, especially with the effect of the pandemic. Basic psychological needs and emotions, which have not been comprehensively examined together despite their important roles in motivating, draw attention. Accordingly,…

Sight-singing is prevalent in aural skill classes, where learners differ in experience and cognitive abilities. In this research, we investigated whether musical experience, level of study, and working memory capacity (WMC) can predict sight-singing performance and if there is a correlation between WMC and performance among some subgroups of…