As has been pointed out in previous research, teacher-led learning plays an important role in developing preschool children's technological skills and technological self-esteem. What is missing in research are more detailed analysis of how the children's and teachers' actions and interactions shape the learning process. In order to study this…

Productive engagement in fractional reasoning is essential for abstracting fundamental algebraic concepts vital to college and career success. Yet, data suggest students with learning disabilities (LDs), in particular, display pervasive shortfalls in learning and mastering fraction content. We argue that shortfalls in understanding are in fact…

This study examined teacher behaviours, students' academic engagement, and classroom ecology in mainstream classrooms including children with intellectual disabilities, and examined the differences in academic engagement for students with and without intellectual disabilities. A mixed-method research methodology was employed. The study…

To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…

Many studies have established that there are important life-long benefits of attending pre-K. At the same time, recent research suggests that pre-K attenders may enter and exit kindergarten exhibiting less optimal social and learning behaviours than their non-attending peers, and little attention has been paid to what factors may contribute to…

Although academic benefits of pre-K are well established, the associations between pre-K attendance and social and learning behaviours are less clear. Some research suggests that pre-K attenders may enter and exit kindergarten exhibiting less optimal social and learning behaviours than their non-attending peers, and little attention has been paid…

Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…

With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…

This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…

Over 90% of students with complex support needs are taught in self-contained (segregated) special education classrooms for most of their school day, despite accumulating evidence these classrooms are not associated with positive student outcomes. Yet placement in these segregated classrooms persists, in part because of assumptions about the degree…

This study investigates the effect of out-of-school activities on gifted students' affective and behavioral tendencies. Mixed method research with a single group pre and post-test experimental design was used in this study. Twenty-five gifted students from Turkey-Istanbul participated in this study. "Environmental Affect Scale" and…

Kids SIP"smart"ER is a 6-month behavioral and health literacy intervention effective at reducing sugar-sweetened beverage (SSB) intake among middle school students and their caregivers in the rural Appalachian region. This exploratory mixed methods study utilized a convergent parallel design to assess participant acceptability of a…

Massive Open Online Courses (MOOCs) are purely online learning environments that are typically available for free for anyone with internet access. These courses have attracted hundreds of thousands, if not millions of learners around the world and the number of users has increased rapidly along with the growth of new platforms and a wide diversity…

Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…

Recent advances in sensor technology, including eye-gaze tracking, have introduced the opportunity to incorporate gaze into student modelling within an embodied learning context. The produced multimodal data is used to uncover cognitive, behavioural, and affective processes during the embodied learning activity. However, the use of eye-tracking…