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…

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…

Before interacting with real users, developers must be proficient in human--computer interaction (HCI) so as not to exhaust user patience and availability. For that, substantial training and practice are required, but it is costly to create a variety of high-quality HCI training materials. In this context, chat generative pretrained transformer…

Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…

This study investigates the interactional functions of the "Slightly Smiling Face" (SSF) emoji in Chinese WeChat conversations through the lens of Conversation Analysis (CA). Drawing on 50 naturally occurring chat excerpts involving 12 participants across various relationship types, the study identifies three core uses of the SSF emoji:…

This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…

Educational leaders are faced with multi-faceted dilemmas that place decision-making at the heart of their day-to-day work. For support, they often turn to collaborative networks of experienced educators, such as Project ECHO, for solutions to address challenges they encounter while working in the field. The availability of generative AI…

Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…

Digital tools, from spreadsheets to process simulators, used by chemical engineers in industrial settings have become embedded into the chemical engineering curriculum in recent decades. One class of tools, learning management systems, is ubiquitous in academia with limited or no use once working as an engineer. However, many new communications…

The COVID-19 pandemic necessitated an abrupt transition to virtual learning environments. Microsoft Teams (MS Teams) was adopted by many educational institutions to maintain instructional continuity. This study aimed to explore the perceptions of teachers and students regarding the teaching efficacy of MS Teams, focusing on various educational…

The emergence of generative artificial intelligence (GenAI) has ignited debates regarding its potential benefits and detriments for education. Despite widespread discussions, insights into GenAI's impact on education have been limited because early studies have often been narrow in scope and focused on specific contexts. Therefore, the purpose of…

Despite the recent growth of mobile instant messenger (MIM), research into the correlation between English learners' learning gains, learning engagement, and how this engagement helps develop authentic relationships remains underexplored. This mixed-method study involved 222 college English learners to investigate their engagement in team-based…

This study takes a dynamic approach to investigating engagement, examining fluctuations in cognitive-affective variables at regular time intervals during online collaborative second language (L2) writing tasks. Using online conference software and online editing software, 16 university students who use English as an L2, completed two collaborative…

The research and data aim to (a) examine instructors' evaluation of Microsoft Teams as reflected in their teaching at the Public Authority for Applied Education and Training (PAAET) and (b) identify significant correlation between three determinants of the Technology Acceptance Model: perceived usefulness (PU), perceived ease of use (PEOU), and…

Adaptive collaborative learning support (ACLS) aims to facilitate collaborative activities by providing intelligent feedback and support based on students' collaboration. Existing ACLS systems have been applied in various collaborative environments, ranging from co-located collaboration in the classroom to online learning environments. While these…