This work considers group discussion data, as recorded in video conferencing settings, and demonstrates the ability to use readily available computational tools to glean important information characterizing the dynamics of the group discussion. In particular, our toolbox reveals a number of important characteristics of a discussion, including who…

In recent years, we have been observing the phenomenon of an emerging scientific field: "digital transformation research" (DTR). Due to the diversity and complexity of its object of research digital, transformation is not effectively researchable if confined to the boundaries of individual disciplines. In the light of…

Discussion forums provide students with accessible platforms for group discussions in e-learning environments. They also help lecturers to track and check student discussions. To improve student learning, it is important for lecturers to identify students' cognitive engagement in discussion forums. Therefore, this study aims to investigate…

As large-scale, sophisticated open and distance learning environments expand in higher education globally, so does the need to support learning at scale in real time. Valid, reliable rubrics of critical discourse are an essential foundation for developing artificial intelligence tools that automatically analyse learning in educator-student…

The 'e-mediating' or otherwise 'five-stage' instructional design model for e-learning focusses on the construction of knowledge through the gradual development of socialisation. The study in hand aimed to capture the socialisation as it develops in an asynchronous teacher training course in Digital Literacy, designed and implemented with the…

Computational risk detection holds promise for shielding particularly vulnerable groups from online harm. A thorough literature review on real-time computational risk detection methods revealed that most research defined 'real-time' as approaches that analyze content retrospectively as early as possible or as preventive approaches to prevent risks…

The MOOCs (Massive Open Online Courses) forum carries rich discussion data that contains multi-level cognition-related behavior patterns, which brings the potential for an in-depth investigation into the development trend of the group and individual cognitive presence in discourse interaction. This paper describes a study conducted in the context…

In the recent, and ongoing, COVID-19 pandemic, remote or online K-12 schooling became the norm. Even if the pandemic tails off somewhat, remote K-12 schooling will likely remain more frequent than it was before the pandemic. A mainstay technique of online learning, at least at the college and graduate level, has been the online discussion. Since…

Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…

Victims of bullying are often reluctant to seek formal support, and instead, internalise their emotions, hindering recovery. Some will subsequently encounter discussions of bullying online, giving them an unexpected opportunity to share their feelings or experience vicarious support. In this article, we investigate reactions to discussions of…

This study comprehensively explores cogenerative dialogue in science education from a sociocultural perspective. Analyzing 120 papers and theses from January 2001 to December 2022 in Korean and English journals, we examine their objectives, themes, methods, learners, educational levels, participants, researcher roles, coteaching connections, and…

The aim of this study is to reveal and evaluate the attending and interpreting skills of student thinking of prospective teachers, as well as their instructional suggestions as responding skills. The current study was conducted with 29 prospective mathematics teachers (PMTs) within a qualitative design in the context of probability. First, three…

The authors of this paper applied a new approach combining text mining and principal component analysis (PCA) to objectively determine the actual state of regional COVID-19 strategy meetings and verified its utility. The authors used text mining to analyze meeting minutes and extracted words with high phase ubiquity by co-occurrence analysis.…

Purpose: This study aims to clarify the process of students' discussion in a problem-solving lesson developed autonomously by a teacher. It is expected to contribute to the accumulating and theorizing of teachers' professional development in school-based curriculum studies. Design/methodology/approach: A transcript-based lesson analysis (TBLA) was…

This small-scale study explored the presence of collaborative metacognitive talk (CMT) during collaborative problem solving (CPS) in a Scottish primary mathematics class. Content analysis was conducted on student and teacher group interactions during CPS (n = 12 students in 3 groups × 3 sessions). The largest proportion of CMT was…