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 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 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…

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…

Interpersonal interactions during childhood form the foundation for development and learning (Tomasello, 2014; Vygotsky, 1962, 1978). Numerous studies have documented the impact of interactions between preschool teachers and preschool-aged children between 3 and 6 years of age (e.g., Denham et al., 2003; Hamre, Hatfield, Pianta & Jamil, 2013).…

After identifying a major limitation of current research on telecollaboration, I propose to develop a methodological framework to empirically study the link between the sociocultural dimension and the linguistic dimension of interaction in eTandem via desktop videoconferencing. For the sociocultural dimension, I study which roles the learners take…

Researchers and teachers often invoke context to explain their particular research/teaching issues. However, definitions of context vary widely and the direct impact of the context is often unexplained. Based on research showing contextual differences in second language (L2) learner beliefs and interactional behaviors, the current project compared…

While collaborative Intelligent Tutoring Systems (ITSs) have been designed for older students and have been shown to support sense-making behaviors, there has not been as much work on creating systems to support collaboration between elementary school students. We have developed and tested, with 84 students, individual and collaborative versions…

Pearson correlation coefficients between first and second year classroom process data from the Texas Teacher Effectiveness Project are presented. These data are from 19 second and third grade teachers whose classrooms were observed during two consecutive school years. The stability of classroom behaviors varied greatly across the two years.…