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Lily Linai Zu – Studies in Applied Linguistics & TESOL, 2025
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…
Descriptors: Mandarin Chinese, Computer Software, Computer Mediated Communication, Discourse Analysis
Weiting Yuan – Studies in Applied Linguistics & TESOL, 2025
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…
Descriptors: Computer Software, Computer Mediated Communication, Chinese, Orthographic Symbols
Tom Neuschafer – Journal of Educators Online, 2025
Online instructors have identified several issues that must be addressed to facilitate better online learning experiences, including authentic experiential education, building community, technology for remote learning, and supporting learners. Online forums are often used by users to express their frustrations, feelings, jokes, and even…
Descriptors: Computer Mediated Communication, Second Language Learning, Handheld Devices, Educational Technology
Yajing Yang – Studies in Applied Linguistics & TESOL, 2025
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…
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication
Xiaoming Cao; Zhuo Huang; Junchen Wu; Mingzhu Li; Tao He – Education and Information Technologies, 2025
Cyberbullying has garnered growing attention, yet existing research lacks nuanced insights into the dynamics of students' cyberbullying profiles and the associated risk factors across multiple domains. This study aims to (1) investigate K-12 students' cyberbullying profiles, (2) develop an AI predictive model for cyberbullying roles, and (3)…
Descriptors: Bullying, Computer Mediated Communication, Victims, Artificial Intelligence
Meina Zhu – Journal of Computer Assisted Learning, 2025
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…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Jayaron Jose – Education and Information Technologies, 2025
The growing significance of artificial intelligence and numerous AI supported educational applications have attracted the attention of educators worldwide. Consequently, AI and software developers have begun creating numerous AI supported applications for teaching and learning. The paper explains the importance of the impacts of the Microsoft…
Descriptors: Computer Mediated Communication, Computer Software, Progress Monitoring, Reading Achievement
Zhuolei Li – Studies in Applied Linguistics & TESOL, 2025
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:…
Descriptors: Discourse Analysis, Nonverbal Communication, Cues, Computer Mediated Communication
M. V. Jongsma; M. Meeter; J. E. van Muijlwijk-Koezen; D. J. Scholten – Education and Information Technologies, 2025
With the emergence of new technologies, various methods for providing online peer feedback have become available. While the effects of online peer feedback on student perceptions and learning are often compared to those of offline peer feedback, there is a lack of research comparing different online feedback environments. This study focuses on how…
Descriptors: Educational Technology, Computer Mediated Communication, Feedback (Response), Peer Evaluation
Brady L. Nash – Reading Research Quarterly, 2025
As meaning-making increasingly happens in digital spaces, it is essential for researchers to examine how students learn to critically read and navigate within and across constantly changing online platforms. This qualitative study examines university students' experiences reading and navigating online. To do so, the author examines self-created…
Descriptors: Video Technology, Reading Processes, Social Media, Teaching Methods
Thi-Ngoc-Anh Duong; Hsiu-Ling Chen – Journal of Educational Computing Research, 2025
Writing plays a crucial role in the development of English as a Foreign Language (EFL) learners' language; however, it remains a challenging skill for them to acquire. This study investigated how EFL students at a high school in Northern Vietnam engaged with the Writing Assistant Bot (WAB), an artificial intelligence (AI) chatbot designed to…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer Software, Technology Uses in Education
Maura N. Snyder; Alanna L. Peebles – Communication Teacher, 2025
A core component of teaching media literacy involves students analyzing and reflecting on how they use media in their daily lives. In this hands-on activity, college students play social media privacy bingo. Each square represents a different type of private information that they might choose to share on social media. The instructor calls out…
Descriptors: Social Media, Teaching Methods, Media Literacy, Student Attitudes
Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
Ramil B. Arante; Daisy Jane Bascon – Journal of Education and Learning (EduLearn), 2025
This study investigates the adequacy and functionality of information and communication technology (ICT) infrastructure for online learning in a Philippine Higher Education Institution (PHEI), particularly in the context of Caraga State University Cabadbaran Campus (CSUCC). Faculty perceptions were gathered through surveys to assess various…
Descriptors: Online Courses, Technology Uses in Education, Higher Education, College Faculty
Michael Pin-Chuan Lin; Daniel H. Chang; Philip H. Winne – Educational Technology Research and Development, 2025
A chatbot is artificial intelligence software that converses with a user in natural language. It can be instrumental in mitigating teaching workloads by coaching or answering student inquiries. To understand student-chatbot interactions, this study is engineered to optimize student learning experience and instructional design. In this study, we…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
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