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Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang; Nian-Shing Chen – Journal of Computer Assisted Learning, 2024
Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on…
Descriptors: MOOCs, Discussion Groups, Computer Mediated Communication, Learning Processes
Tiphaine Colliot; Abraham E. Flanigan – Journal of Computer Assisted Learning, 2024
Background: Many instructors transitioned their courses from face-to-face environments to computer-mediated learning environments (CMLEs) following the onset of the coronavirus disease 2019 (COVID-19) pandemic. However, little was known about how teleconferencing platforms and their corresponding functions affect student learning when the COVID-19…
Descriptors: Reading Processes, Notetaking, Video Technology, Lecture Method
Nanda van der Stap; Theo van den Bogaart; Ebrahim Rahimi; Johan Versendaal – Journal of Computer Assisted Learning, 2024
Background: Online interaction in blended learning is leveraged through social presence and convergence. However, little systematic work currently exists on how researchers have explored these challenges in higher education institutions and no studies have synthesised these challenges. Objectives: The purpose of this study is to give a novel…
Descriptors: Literature Reviews, Blended Learning, Educational Strategies, Peer Relationship
Jiang Xiaxia; Li Yahong; Kuang Ziyi; Yu Jiajun – Journal of Computer Assisted Learning, 2025
Background: Video conferencing technology has moved online education into a new stage of real-time video interaction. However, shortcomings such as students' lack of concentration and substantive engagement during video conferencing greatly limit the improvement of online learning effectiveness. According to social presence theory and the…
Descriptors: College Faculty, College Students, Electronic Learning, Distance Education
Technological Affordances in Teachers' Online Professional Learning Communities: A Systematic Review
Fangzhou Jin; Zicong Song; Wai Ming Cheung; Chin-Hsi Lin; Tiruo Liu – Journal of Computer Assisted Learning, 2024
Background Study: Previous systematic reviews concluded that online professional-learning communities (OPLCs) have positive effects on teachers' development, but explored neither the technological affordances that make this possible nor the potential negative impacts of technology use in OPLCs. Objectives: The aim of this study is to…
Descriptors: Communities of Practice, Faculty Development, Computer Mediated Communication, Technology Uses in Education
Patricia Feubli; Douglas MacKevett; Jürg Schwarz – Journal of Computer Assisted Learning, 2024
Background: This research paper presents a cross-sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence-based findings for informed policy decisions. Methods: The data collection method…
Descriptors: Blended Learning, Preferences, Foreign Countries, Educational Environment
Wenli Chen; Yiting Han; Jesmine Tan; Aileen Siew Cheng Chai; Qianru Lyu; Lyna – Journal of Computer Assisted Learning, 2024
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…
Descriptors: Computer Mediated Communication, Cooperative Learning, Persuasive Discourse, Science and Society
Yujen Ho – Journal of Computer Assisted Learning, 2024
Background Study: Asynchronous online discussions are vital venues for collaborative knowledge construction. However, the lack of appropriate instruction designs poses challenges in promoting deep and substantive engagement with the core subject matter. This paper explores how to enhance adult students' knowledge construction in the context of…
Descriptors: Asynchronous Communication, Adult Students, Electronic Learning, Instructional Design
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
Adelson de Araujo; Pantelis M. Papadopoulos; Susan McKenney; Ton de Jong – Journal of Computer Assisted Learning, 2024
Background: Sustaining productive student-student dialogue in online collaborative inquiry learning is challenging, and teacher support is limited when needed in multiple groups simultaneously. Collaborative conversational agents (CCAs) have been used in the past to support student dialogue. Yet, research is needed to reveal the characteristics…
Descriptors: Learning Analytics, Computer Mediated Communication, Artificial Intelligence, Dialogs (Language)
Ignacio Villagrán; Rocío Hernández; Javiera Fuentes-Cimma; Constanza Miranda; Julián Varas; Andrés Neyem; Gabriela Sepúlveda; Bárbara Catril; Patricio García; Isabel Hilliger; Eduardo Fuentes-Lopez – Journal of Computer Assisted Learning, 2025
Background: Before they graduate, higher education students must demonstrate technical skills in different procedures, where health degrees such as physiotherapy stand out for their practical nature. Procedural skill development requires students to uptake feedback continuously, which is costly in terms of time and effort. Although the…
Descriptors: Allied Health Occupations Education, Undergraduate Students, Trainees, Physical Therapy
Sun, Chunmei; Hwang, Gwo-Jen; Yin, Zhaoyi; Wang, Zhonghou; Wang, Zhuo – Journal of Computer Assisted Learning, 2023
Background: Social annotation (SA) allows users to collaboratively highlight important texts, make comments and discuss with each other on the same online document. This would not only accelerate and deepen learners' cognitive understanding of information, but also help build a sense of rapport, which is critical especially because of the…
Descriptors: Trend Analysis, Computer Mediated Communication, Cooperative Learning, Documentation
Chen, Si; Ouyang, Fan; Jiao, Pengcheng – Journal of Computer Assisted Learning, 2022
Background: Online Collaborative Writing (OCW) has been reported to be useful to improve writing quality in higher education. However, challenges emerge during the collaborative processes, mainly centering on how to sustain active interactions and communications in order to complete a high quality of writing. Objectives: Using the design-based…
Descriptors: Learner Engagement, Computer Mediated Communication, Collaborative Writing, Cooperative Learning
Ye, Dan; Pennisi, Svoboda – Journal of Computer Assisted Learning, 2022
Background: Online discussion is one of the commonly used tools to enhance students' interactions and engagements in online courses, but it is not clear how social presence in online discussions impacts students' learning and what kinds of interactions we should encourage. Social network analysis provides a new methodology to investigate how…
Descriptors: Discourse Analysis, Computer Mediated Communication, Discussion Groups, Social Networks
Mengdi Li; Yinyu Wang; Xiaorong Yang – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots have shown great application potential and research value in the field of language learning, especially in second language acquisition (SLA). Objectives: This study aims to validate the value of GenAI chatbots for SLA and elucidate which moderating variables affect learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Second Language Learning

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