Methodological advancements for the study of learning processes are both shaped by and drivers of technology developments. Interaction Analysis (IA), as a core methodological approach over the past three decades is reflective of this relationship and can be understood by examining moves from analogue video tapes, to digital media, computational…

Blended learning, as an efficient teaching mode that combines the advantages of both online and offline learning, has been widely applied in universities. Nevertheless, the different learning patterns induce difficulty in evaluating the learning quality. In this paper, an approach of integrating online and offline interactions is proposed by…

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…

This study focuses on one type of excluding and isolating behaviour, the essence of which is the breakup of social interactions with a group member, which falls within the commonly accepted definition of ostracism. Based on interviews with 29 adolescents aged 12-18 (including 15 girls and 14 boys, all of whom were students in public schools…

This mixed-methods study investigates the role of school resource officers (SROs) in Kentucky and describes their interactions with students. This study aimed to provide a comprehensive understanding of how SROs interact with students and the implications of those interactions. The quantitative phase of the research involved a secondary analysis…

Second-year university students often experience a disconnection with their learning and may feel unmotivated, lack confidence, and are unprepared for the higher expectations and complex concepts of their courses. Their disconnection with their learning can be addressed through deepening the social connections between other second-year students,…

Instruction, designed to impact learning, accentuates the quantity and quality of learner interactions. Theoretically, the higher the level or quantity of learner interaction within instruction, the higher the quality of instruction. Learner interactions are fostered through learner-to-learner (L2L), learner-to-instructor (L2I), and…

Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in the class has prompted research on the perceptions related to the intention to…

Upvotes serve important purposes in online social annotation environments. However, limited studies have explored the influential factors affecting peer upvoting in online collaborative learning. In this study, we analysed the factors influencing students' upvotes received from their peers as 91 participants utilized Perusall, an online social…

This study takes the value-based adoption model and CIE model of the learning process as the theoretical basis and combines them to explore the influencing factors and mechanisms of learners' online interaction and perceived value. Based on the questionnaire survey data of 81 learners' potential factors and their 45,166 real-time behavior data on…

How teachers interact with students can have damaging effects on students' self-esteem, which is quite often the antecedent to students' disruptive behaviours in the classroom. The purpose of this article is to encourage teachers to take the initiative step toward improving their classroom climate by identifying their response styles and types of…

A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…

This paper examines the effect of class size on student's academic and behavioral performance in synchronous online courses, utilizing student-level administrative data and website clickstream data from a research university in China. By examining variations in class sizes within students but across classes, we revealed a significant negative…

Meaningful student-teacher relationships form a crucial foundation for teachers to deliver effective interventions leading to better outcomes for students with challenging behavior. By implementing simple recommendations for facilitating genuine and intentional interactions with students and regulating their own emotional responses, teachers can…

Inequity is persistent in science, technology, engineering, and mathematics classrooms despite significant attention to upending it. In order to better understand how and why inequity persists, an analysis is presented of 27 self-identified white male physics faculty and graduate students responding to an interview prompt about the social…