This paper advocates for the adoption of Nexus Analysis as a robust analytical framework in Problem-Based Learning (PBL) research. Developed by Scollon and Scollon, Nexus Analysis offers a unique lens for examining the intricate dynamics of PBL by seamlessly integrating micro-level interactions with macrolevel societal discourses. The approach…

Teacher professional learning communities (PLCs) have the potential to result in teacher professional development, provided that effective communication takes place during PLC meetings. Building on the perspective of collaborative knowledge building, this study examined teachers' interaction patterns during these meetings. Connections were…

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…

Community-based courses, driven by connectivist learning theory, provide learners with a social environment that supports collaborative problem solving (CPS). The purpose of this study is to investigate the characteristics of potential collaborators before they engage in CPS. This study analyzed a community-based course, a cMOOC with a total of…

Given that interaction patterns are one of the most critical components of the collaborative writing (CW) strategy, especially regarding text quality, the present study investigates the interaction patterns of argumentative text quality in CW at advanced-level undergraduate L2 writing. Ninety-five undergraduate learners participated in the…

Conversational interactants rely on each other to cooperate with ongoing actions and activities both structurally (alignment) and affectively (affiliation). They monitor one another's cooperative behaviors to detect any (potential) problems in alignment and affiliation. The present study describes one interactional strategy Japanese speakers use…

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 study investigated whether parents and kindergarten children show concurrent and time-lagged physiological synchrony during dyadic interaction. Further, we tested whether parent-child behavioral co-regulation was associated with concurrent and time-lagged synchrony, and whether synchrony varied by the type of interaction task. Participants…

Interaction has received attention in different fields of applied linguistics. In the field of Second Language Acquisition (SLA), scholars have perceived interaction as a platform where L2 learners can engage in language experimentation. It has been considered in light of Long's (1981) Interaction Hypothesis, which posits that negotiation 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…

This study explicates the nature of second language (L2) pragmatic interaction focusing on the quantitative function of interactional features. A relationship between the fine-grained interactional features elicited from learners' role-play performances at varying levels and trained raters' scores was investigated. The corpus of 102 learners'…

To assess the dynamical effects of creative interaction networks on team creativity evolution, this paper elaborates a theoretical framework that links the key elements of creative interaction networks, including node, edge and network structure, to creativity in teams. The process of team creativity evolution is divided into four phases,…

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…