This research aimed to explore (1) the characteristics and patterns of student interactions on online discussion boards throughout a course using social network analysis (SNA) and (2) the mediating effect of social presence, as the underlying mechanism, on the relationship between these interactions and students' learning outcomes. Eighty-four…

This study aims to explore the validity of measuring joint attention through gaze coordination in computer-supported collaborative learning (CSCL) research. Gaze coordination, aligning visual attention in social contexts, aids comprehension and communication. Many CSCL researchers use gaze coordination to gauge joint attention quantitatively.…

This study investigated the important roles of metacognitive skills and enthusiasm (both teaching and subject enthusiasm) in teachers' self-regulation in learning (informal teacher learning) and teaching (adaptive instruction) throughout their teaching careers. Using multi-group structural equation modelling and a mediation analysis of a sample of…

This study investigated the dynamics of complex interactions within inquiry-based (IB) discussions by visualizing patterns using social network analysis. Researchers explored network measures when learners participated in inquiry-based discussions with Practical Inquiry Model (PIM) and non-PIM questions while playing the weekly moderator's role.…

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)…

This research focuses on student-robot interaction in the learning environment of robotics education (RE) and attempts to explore how it cultivates students' computational thinking (CT). Different from child-robot interactions as investigated in the social robot field, student-robot (S-R) interactions focus mainly on the process of interaction…

The paper describes active learning strategies used in undergraduate college algebra and business calculus courses. There are a variety of active learning strategies described in the literature. We wanted to implement a few that together, satisfy the key characteristics of active learning strategies. The active learning strategies described in…

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…

Manipulative artefacts are considered useful scaffolds of arithmetic during early years education, but their use is considered less important as children get older. Yet adult arithmetic performance often recruits artefacts to improve accuracy and efficiency, and so the same benefits should accrue to children beyond early years. We propose that…

Ball State University re-designed five classrooms--as part of an Interactive Learning Space (ILS) Initiative--to provide educators with learning spaces that could be used to implement and assess the effectiveness of student-centred instructional practices. The purpose of the current investigation was to explore how pedagogy implemented within ILSs…

Due to a shortage of special education teachers and an increase in the number of students with disabilities, the use of paraeducators is common. Paraeducators frequently provide instruction, under the direction of a teacher, to support elementary students with disabilities in elementary school classrooms. However, if and how paraeducators…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

To investigate how physics students perceived the sudden shift to online learning at the beginning of COVID-19 pandemic, 18 semistructured interviews were conducted with university students in Austria, Croatia, and Germany. Based on the interviews, a questionnaire was developed and data from N ¼ 578 physics students from five universities in…

COVID-19 pandemic made a sudden shift of all ages to online learning and distance learning instructions. However, there is a paucity of research to address the possible impacts of the pedagogical shift integrated into new online platforms on learning, interaction, and assessment, especially in higher education settings from the vantage point of…

Understanding the relationship between social interaction patterns and cognitive engagement levels has critical implications on collaborative learning theory, pedagogy, and technology. This study used a multi-method approach to examine the relationship between students' social participatory roles and cognitive engagement levels within asynchronous…