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de Lima, Mariana; Zorrilla, Marta – International Review of Research in Open and Distributed Learning, 2017
This study aimed to analyze the student's behaviour in relation to their degree of commitment, participation, and contribution in a MOOC based on a social learning approach. Interaction data was collected on the learning platform and in social networks, both of which were used in the third edition of a social MOOC course. This data was then…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Guo, Shesen; Zhang, Ganzhou; Guo, Yufei – Journal of Educational Computing Research, 2016
The definition of the field of educational technology has evolved over 50 years. New inventions and economic globalization increasingly facilitate people's communication for exchange of ideas and collaboration. This work attempts to describe international research collaboration in educational technology for the past 50 years. This article intends…
Descriptors: Social Networks, Network Analysis, Correlation, Definitions
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Zhang, Jia-Hua; Zhang, Ye-Xing; Zou, Qin; Huang, Sen – Educational Technology & Society, 2018
The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…
Descriptors: Data Collection, Data Analysis, Educational Research, Diaries
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Satar, H. Muge; Akcan, Sumru – Language Learning & Technology, 2018
Participation in online communities is an increasing need for future language teachers and their professional development. Through such participation, they can experience and develop an awareness of the behaviors required to facilitate their future learners' participation in online learning. This article investigates participation, interaction…
Descriptors: Preservice Teachers, Language Teachers, English (Second Language), Second Language Instruction
Martins da Silva, Vanessa Cristina; Siqueira, Sean Wolfgand Matsui – International Association for Development of the Information Society, 2016
In online learning environments, tutors have several problems to carry out their activities, such as evaluating the student, knowing the right way to guide each student, promoting discussions, and knowing the right time to interact or let students build knowledge alone. We consider scenarios in which teaching and learning occurs in online social…
Descriptors: Interaction, Social Networks, Electronic Learning, Tutors
Jiang, Zhuoxuan; Zhang, Yan; Liu, Chi; Li, Xiaoming – International Educational Data Mining Society, 2015
With the development of Massive Open Online Courses (MOOC) in recent years, discussion forums there have become one of the most important components for both students and instructors to widely exchange ideas. And actually MOOC forums play the role of social learning media for knowledge propagation. In order to further understand the emerging…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Social Networks
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Habib, Laurence; Johannesen, Monica – Teaching in Higher Education, 2014
This article presents the results of a study using both quantitative and qualitative data to uncover the extent and nature of the involvement of academic staff in the processes of acquisition and implementation of educational technologies. Actor-network theory (ANT) is used to inform the design of the study and the analysis of the data. Three main…
Descriptors: Statistical Analysis, Educational Technology, School Policy, Higher Education
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Chung, Kon Shing Kenneth; Paredes, Walter Christian – Educational Technology & Society, 2015
In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…
Descriptors: Social Networks, Online Courses, Educational Technology, Electronic Learning
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Wicks, David; Craft, Baine B.; Lee, Donghun; Lumpe, Andrew; Henrikson, Robin; Baliram, Nalline; Bian, Xu; Mehlberg, Stacy; Wicks, Katy – Online Learning, 2015
Researchers in a recent study found that online students' ability to self-regulate led to more focused attention and time on task, and in turn, these skills could lead to better learning. Given the need for more theoretical work in this area, as well as the potential practical benefits from the use of these pedagogical strategies, we sought to…
Descriptors: Electronic Learning, Cooperative Learning, Learning Strategies, Self Management
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Tirado, Ramón; Hernando, Ángel; Aguaded, José Ignacio – Interactive Learning Environments, 2015
Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Computer Assisted Instruction
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Shen, Demei; Nuankhieo, Piyanan; Huang, Xinxin; Amelung, Christopher; Laffey, James – Journal of Educational Computing Research, 2008
This study uses social network analysis (SNA) in an innovative way to describe interaction and explain how interaction influences sense of community of students in online learning environments. The findings reveal differences on sense of community between two similarly structured online courses, and show unique interaction patterns for students in…
Descriptors: Network Analysis, Online Courses, Interaction, Social Networks
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Aviv, Reuven; Erlich, Zippy; Ravid, Gilad – Educational Technology & Society, 2005
Theoretical foundation of Response mechanisms in networks of online learners are revealed by Statistical Analysis of p* Markov Models for the Networks. Our comparative analysis of two networks shows that the minimal-effort hunt-for-social-capital mechanism controls a major behavior of both networks: negative tendency to respond. Differences in…
Descriptors: Statistical Analysis, Educational Technology, Comparative Analysis, Peer Influence