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Uncovering Emotion Sequence Patterns in Different Interaction Groups Using Deep Learning and Sequential Pattern Mining
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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
Pattern Elements in Higher Visual Art Education
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Korepanova, Antonina; Pata, Kai – International Association for Development of the Information Society, 2023
Art education holds immense value, presenting students with complex problems and diverse solutions. While general art education has received attention from researchers, higher visual art education remains an under-discussed topic. This article aims to address this gap by examining the diversity of pattern elements that art teachers employ during…
Descriptors: Higher Education, Art Education, Visual Arts, Instructional Design
Establishing Goals and Maintaining Coherence in Multiparty Computer-Mediated Communication
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Groen, Martin; Noyes, Jan – Discourse Processes: A Multidisciplinary Journal, 2013
Communicating via text-only computer-mediated communication (CMC) channels is associated with a number of issues that would impair users in achieving dialogue coherence and goals. It has been suggested that humans have devised novel adaptive strategies to deal with those issues. However, it could be that humans rely on "classic"…
Descriptors: Foreign Countries, Computer Mediated Communication, Goal Orientation, Semantics
Using Text Mining to Characterize Online Discussion Facilitation
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Ming, Norma; Baumer, Eric – Journal of Asynchronous Learning Networks, 2011
Facilitating class discussions effectively is a critical yet challenging component of instruction, particularly in online environments where student and faculty interaction is limited. Our goals in this research were to identify facilitation strategies that encourage productive discussion, and to explore text mining techniques that can help…
Descriptors: Computer Mediated Communication, Semantics, Asynchronous Communication, Discourse Analysis
Using "Signals" for Appropriate Feedback: Perceptions and Practices
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Tanes, Zeynep; Arnold, Kimberly E.; King, Abigail Selzer; Remnet, Mary Ann – Computers & Education, 2011
Feedback is a crucial form of information for learners. With the availability of new educational technologies, the manner in which feedback is delivered has changed tremendously. Existing research on the learning outcomes of the content and nature of computer mediated feedback is limited and contradictory. "Signals" is an educational data-mining…
Descriptors: Feedback (Response), Curriculum Development, Educational Technology, Content Analysis
Analyzing User Interaction to Design an Intelligent e-Learning Environment
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Sharma, Richa – International Journal on E-Learning, 2011
Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…
Descriptors: Electronic Learning, Educational Environment, Instructional Design, Student Needs