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Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
Blanca Álvarez-Turrado; Daniel Falla; Eva M. Romera – Youth & Society, 2025
Studies on cyberbullying recognize that peer group pressure can activate certain moral disengagement mechanisms that promote the perpetration of aggressive behaviors online. The objectives of this research were to analyze the association of peer group pressure with cyberaggression and to test the mediation effect of different moral disengagement…
Descriptors: Peer Influence, Computer Mediated Communication, Aggression, Bullying
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
Carmen Dueñas-Casado; Daniel Falla; Rosario Ortega-Ruiz; Eva M. Romera – Social Psychology of Education: An International Journal, 2025
Moral disengagement is a cognitive mechanism that seeks to avoid the feeling of guilt in the face of transgressive behaviors and seems to be present in behaviors such as cyberbullying, cybergossip or bullying in adolescence. Few studies have explored this connection in the primary school years, even though gossip, bullying and cyberbullying are…
Descriptors: Moral Values, Elementary School Students, Computer Mediated Communication, Bullying
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
Honggang Liu; Jiqun Fan – European Journal of Education, 2025
This study leverages the Stimulus-Organism-Response (S-O-R) framework to investigate the effects of teacher and technical support (TCHS) on learners' willingness to communicate (WTC) in artificial intelligence (AI)-enhanced English as a foreign language (EFL) contexts, considering the mediating effects of learners' artificial intelligence literacy…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Second Language Instruction, Second Language Learning
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
Jiaqi Yin; Haoxin Xu; Yafeng Pan; Yi Hu – npj Science of Learning, 2025
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…
Descriptors: Outcomes of Education, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
Doug Kueker; Joi Moore – Journal of Computer Assisted Learning, 2024
Background: Learning to use software using screencast videos with worked examples in the corresponding practice files presents a classic split-attention problem that requires learners to mentally integrate information from the video with a target application. While there is evidence that splitting attention either temporally or spatially adversely…
Descriptors: Participant Observation, Interactive Video, Computer Peripherals, Attention Control
Wei Xu; Yuhan Chen; Leying Yang – Innovations in Education and Teaching International, 2025
Online discussion forums are crucial educational tools that facilitate interaction between students and teachers. We created an online discussion forum, with the teacher serving as the moderator. 58 posts and 1,955 comments were collected. We analysed these data through Latent Dirichlet Allocation to determine word cooccurrence and extract key…
Descriptors: Cognitive Processes, Electronic Learning, Discussion (Teaching Technique), Computer Mediated Communication
Shahjad; Khurram Mustafa – Journal of Educators Online, 2024
Online learning and examinations have become inevitable post-pandemic and a new normal has been seen globally. Virtual learning (VL) is a relatively new model that has grown pervasively in our academic life. The paradigm shift (face-to-face to virtual learning) is inevitable as VLEs like Google Meet, Zoom, Microsoft Teams, Google Classroom, and…
Descriptors: Electronic Learning, Computer Mediated Communication, Human Factors Engineering, Guidelines
Eva A. Alfoldi – Journal of Education for Business, 2025
The "community of inquiry" framework examines the interplay between four kinds of presence (teaching, cognitive, social, and learner) to promote effective learning in online education. This paper investigates the impact of "instructor participation" ("IP"), a key component of "teaching presence," on student…
Descriptors: Educational Technology, Computer Mediated Communication, Discussion (Teaching Technique), Communities of Practice
Wei Xu; Le-Ying Yang; Xiao Liu; Pin-Nv Jin – Education and Information Technologies, 2024
Teacher feedback is the key to online collaborative discussion. To investigate the effects of different forms of teacher feedback intervention on learners' cognitive and emotional interactions in online collaborative discussion, this study collected collaborative discussion text data of online collaborative learners. Based on the framework of…
Descriptors: Feedback (Response), Teacher Student Relationship, Communities of Practice, Cooperative Learning
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
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
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