This study investigated the sentiment of Twitter discourse on Open Educational Resources (OER). We collected 124,126 tweets containing hashtags related to OER posted from January 2017 to December 2021. We performed fine-grained sentiment analysis using Bidirectional Encoder Representations from Transformers (BERT) to categorize tweets into five…

Here, we present comparative case studies of two young adolescents engaged in electronic dialogs on a social issue with a sequence of partners. We trace how an individual coordinates existing ideas with new input the interaction provides. Tracing the evolution of an individual's ideas entails close examination of the process by means of which it…

Generative AI tools, like ChatGPT, have ignited global discussions and debates about potential educational impacts. By examining initial reactions to ChatGPT shared in online spaces, this study aims to deepen understanding of opportunities and concerns related to integrating such tools into education. With the keyword "chatgpt," we…

In order to reveal how Donald Trump is crucially involved in inciting riot and instigating insurgency, this pragmatic study strictly investigates and analyzes Donald Trump's tweets over the past months that preceded the unprecedented mob attack on the Capitol in January the 6th to impede the Congress endorsement of the US presidential elections…

This study explores the opening sequences of Mandarin text messages on WeChat, focusing on the role of the phrase "zaima," meaning "are you there?" in English, in digital communication. While conversation openings have been widely studied in face-to-face and telephonic interactions, research on text message openings, especially…

Background: Computer science faces a persistent attrition problem, with people leaving the field at a rate that exceeds new entrants. Given the increasing demand for computing jobs, it is essential to focus on reducing the number of individuals exiting the field. Purpose: This study investigates why individuals leave the computer science field…

Analyzing how participants learn from each other during online forums on discussion boards or social media platforms is often challenging. One of the predominant methods of analyzing such learning is through qualitative content analysis or interaction analysis. The Interaction Analysis Model (IAM), developed by Gunawardena, Lowe and Anderson which…

Few studies have considered the micro-analysis of written laughter in the digital world in its sequential context (beyond frequency and distribution). The present study fills this gap by examining "transcribed" laughter "[Chinese symbols omitted](haha)" in Chinese conversations on WeChat from a conversation analytic…

This study qualitatively develops further understandings regarding knowledge and identity construction within computer-supported collaborative learning (CSCL) research by applying discourse analysis and the dialogical self theory (DST) to investigate the role of interpersonal and intrapersonal voices in facilitating knowledge construction. We…

Objective: The current study longitudinally examines college student Twitter patterns throughout initial phases of the COVID-19 pandemic. This study aims to better understand psychological impact and online personal communication during the pandemic. Participants: A dataset consisting of ~720,000 tweets posted by students from universities…

This study explores uses of the quote-and-reply (Q&R) function in WeChat through conversation analysis. Analyzing 7 naturally occurring chat samples, the research identifies 3 primary interactional practices: sequence-jumping, which enables responses to non-adjacent turns across temporal gaps; response facilitation, where quotes are…

This study explores the discursive practices the researcher utilizes during recurring asynchronous writing consultations to engender mutually adjusted and context-driven interactions meaningful to writers' development during virtual tutoring. While earlier studies have critiqued asynchronous tutoring for its inability to efficiently promote the…

The theoretical framework of communities of practice (CoP) is often used for framing research into online communities. However, there is an absence of measures and empirical work that evaluates knowledge-sharing within such communities. This represents a substantial gap in our understanding of informal learning for diverse people and in the case…

Intersubjectivity is the representation of knowledge construction achieved through a synergistic progression from individual contributions to sequences of interdependent contributions. Repair is a conversational strategy that consists of sequences of interaction contributing to the development of intersubjectivity thereby establishing mutual…

Background: This study examined the effect of computer-supported collaborative argumentation (CSCA) on secondary school students' understanding of socio-scientific issues (SSI). Engaging students in collaborative argumentation is known to help with deepening their understanding of SSI. Methods: In this study, a mixed-method design is used to…