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Spatariu, Alexandru; Winsor, Denise L.; Simpson, Cynthia; Hosman, Eric – Turkish Online Journal of Educational Technology - TOJET, 2016
With the rapid advancements of technology, online communication in both K-12 and post-secondary instruction has been widely implemented. Instructors as well as researchers have used various frameworks to evaluate different aspects of online discussions' quality. The online discussions take place synchronously or asynchronously in chat rooms,…
Descriptors: Computer Mediated Communication, Group Discussion, Persuasive Discourse, Interaction
Saeed, Murad Abdu; Ghazali, Kamila – Language Learning & Technology, 2017
The current paper reports an empirical study of asynchronous online group review of argumentative essays among nine English as foreign language (EFL) Arab university learners joining English in their first, second, and third years at the institution. In investigating online interactions, commenting patterns, and how the students facilitate text…
Descriptors: English (Second Language), Second Language Instruction, Writing Instruction, Persuasive Discourse
Crosta, Lucilla; Manokore, Viola; Gray, Morag – Journal of Interactive Online Learning, 2016
The current study explored the interaction patterns of a cohort of international students in a Professional Doctorate of Higher Education program (EdD) in order to establish the extent to which (if at all) the cohort evolved into an authentic online learning community. Phase 1 of the study consisted of a retrospective audit of three out of the…
Descriptors: Interaction, Foreign Students, Doctoral Programs, Communities of Practice
Lowes, Susan – Journal of Asynchronous Learning Networks, 2014
The ability to work in groups across time and space has become a frequent requirement for the workplace and is increasingly common in higher education, but there is a surprising lack of research on how online groups work. This research applies analytic approaches used in studies of face-to-face classroom "talk" to multiple groups in two…
Descriptors: Group Activities, Cooperative Learning, Online Courses, High School Students
Ma, Ada W.W. – Interdisciplinary Journal of E-Learning and Learning Objects, 2013
In recent research, little attention has been paid to issues of methodology and analysis methods to evaluate the quality of the collaborative learning community. To address such issues, an attempt is made to adopt the Activity System Model as an analytical framework to examine the relationship between computer supported collaborative learning…
Descriptors: Communities of Practice, Cooperative Learning, Critical Thinking, Reflection
Falloon, Garry – Journal of Open, Flexible and Distance Learning, 2012
Research indicates learners studying at a distance can experience perceptions of isolation and lack of "belonging" and support, which can adversely affect their learning experience and performance. Recently, the advent of affordable, accessible and reliable high-speed broadband has meant that a whole new array of digital tools to support…
Descriptors: Distance Education, Educational Technology, Graduate Students, Seminars
Manca, S.; Delfino, M.; Mazzoni, E. – Journal of Computer Assisted Learning, 2009
Analysis of interaction patterns is one of the most important indicators of quality of learning in educational web forums. Social network analysis (SNA) is gradually assuming importance in the study of interaction patterns as it focuses on the analysis of the interrelationships between individuals, thus providing a holistic perspective on group…
Descriptors: Semantics, Network Analysis, Interaction, Social Networks
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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