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Duncan Culbreth; Florence Martin – Educational Technology Research and Development, 2025
Synchrony, or the timing of information as it is exchanged between participants, has garnered increasing study in online learning. Within this domain is bichronous online learning (BOL), the blending of asynchronous and synchronous elements within one learning environment. Some research has identified mobile instant messaging as quasi-synchronous…
Descriptors: Synchronous Communication, Asynchronous Communication, Computer Mediated Communication, Electronic Learning
Shuowen An; Si Zhang; Zhihui Cai; Wei Pan; Mingwei Li; Mingwen Tong – International Journal of Computer-Supported Collaborative Learning, 2025
An in-depth analysis of collaborative problem solving (CPS) patterns contributes to understand team dynamics and effective paths to conflict resolution. However, there remains the lack of a perspective in the field of CPS research that organically combines the cognitive, meta-cognitive, and social-communicative dimensions. Moreover, the analysis…
Descriptors: Cognitive Processes, Metacognition, Interpersonal Relationship, College Students
Theresa Wilson; William Provaznik; Wendy Cook – Communication Teacher, 2024
While societies struggle with the implications of text-based generative artificial intelligence (TGENAI), businesses are embracing the technology. Using framing, this original activity unit prepares business communication students for professional TGENAI use. Activities emphasize the need for an effective cognitive frame, as well as introduce…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Business Communication, Business Administration Education
Lisa Paneth; Loris T. Jeitziner; Oliver Rack; Klaus Opwis; Carmen Zahn – International Journal of Computer-Supported Collaborative Learning, 2024
Successful computer-supported collaborative learning (CSCL) relies on collaborative group engagement, a complex construct characterized by multifaceted, dynamic, socio-emotional, and socio-cognitive processes. This paper provides a detailed analysis of collaborative group engagement, with a particular focus on nonverbal behaviors as indicators of…
Descriptors: Nonverbal Communication, Behavior Patterns, Cooperative Learning, Learner Engagement
Allison R. Byrd; Alexa J. Lamm – Journal of Agricultural Education, 2025
Universities often overlook prospective graduate students--significant contributors to research productivity--as an audience requiring strategic recruitment communication. Uses and gratifications theory posits audiences intentionally select specific communication channels to fulfill self-actualization needs. Therefore, the purpose of this study…
Descriptors: Student Recruitment, Graduate Students, Agricultural Education, Environmental Education
Taufik Slamet; Thomas Brush; Kyungbin Kwon – Technology, Knowledge and Learning, 2025
This study aims to investigate the effects of competition through a digital leaderboard in gamified online discussions on learners' behavioral and cognitive engagement in learning. Twenty-three graduate students pursuing master's degree in instructional technology in a public university in Indonesia were involved in a five-week quasi-experiment (N…
Descriptors: Competition, Gamification, Computer Mediated Communication, Group Discussion
Serkan Ucan – Education and Information Technologies, 2025
This study investigates student interaction and engagement in Twitter-supported collaborative learning, focusing on cognitive and socio-emotional processes, their evolution, and their impact on knowledge construction and group project outcomes within a higher education flipped classroom context. Utilising mixed methods analysis, including…
Descriptors: Social Media, Computer Mediated Communication, Cooperative Learning, Outcomes of Education
Faulconer, Emily K.; Bolch, Charlotte; Wood, Beverly – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: As online course enrollments increase, it is important to understand how common course features influence students' behaviors and performance. Asynchronous online courses often include a discussion forum to promote community through interaction between students and instructors. Students interact both socially and cognitively; instructors'…
Descriptors: Cognitive Processes, Difficulty Level, Asynchronous Communication, Undergraduate Students
Fangni Li – International Journal of Information and Communication Technology Education, 2025
Traditional assessment in international sports communication is often fragmented and subjective, limiting timely, learner-centered feedback. This study presents a curriculum framework enhanced by generative artificial intelligence, coupled with a deep learning (DL) model for instructional effectiveness assessment in international sports…
Descriptors: Artificial Intelligence, Technology Uses in Education, Curriculum Design, Athletics
Avatars vs. Video Presence: Effects of Instructor Presence on Cognitive Load in Video-Based Learning
Yuli Sutoto Nugroho; Marie-Luce Bourguet; Hamit Soyel; Isabelle Mareschal – Electronic Journal of e-Learning, 2025
This study examines the impact of instructor presence on cognitive load and learning outcomes in video-based learning environments, addressing a significant gap in optimising instructional design for digital education. Utilising eyetracking technology to measure pupil dilation, a reliable proxy for cognitive load, this research compares three…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Video Technology
Xuyan Qiu – Computer Assisted Language Learning, 2024
Task complexity and communication modes are two task design and implementation factors that have been found to affect second language (L2) learners' oral performance. While increasing task complexity and developing tasks according to the features of face-to-face and computer-mediated communication modes can optimise L2 production, few studies…
Descriptors: Difficulty Level, Second Language Learning, Learner Engagement, Computer Mediated Communication
Imdadullah Hidayat-ur-Rehman – Journal of Research in Innovative Teaching & Learning, 2024
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…
Descriptors: Artificial Intelligence, Personal Autonomy, Learner Engagement, Informal Education
Jiaqi Yin; Tiong-Thye Goh; Yi Hu – IEEE Transactions on Learning Technologies, 2024
This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…
Descriptors: Artificial Intelligence, Synchronous Communication, Feedback (Response), Longitudinal Studies
Kuvar, Vishal; Flynn, Lauren; Allen, Laura; Mills, Caitlin – International Educational Data Mining Society, 2023
Computer-mediated social learning contexts have become increasingly popular over the last few years; yet existing models of students' cognitive-affective states have been slower to adopt dyadic interaction data for predictions. Here, we explore the possibility of capitalizing on the inherently social component of collaborative learning by using…
Descriptors: Computer Mediated Communication, Trust (Psychology), Socialization, Keyboarding (Data Entry)
Zohre Mohammadi Zenouzagh; Wilfried Admiraal; Nadira Saab – Journal of Computer Assisted Learning, 2024
Background study: Although the number of computer-based instruction has increased drastically, the understanding of how design features of learning modality can affect learning remains incomplete. This partly stems from studies' heavy focus on modified output. Therefore, how interactive nature of computer-mediated learning feeds into learning is…
Descriptors: Computer Mediated Communication, Communication Skills, Self Control, Learner Engagement

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