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Hutchinson, Sterling; Louwerse, Max – Discourse Processes: A Multidisciplinary Journal, 2018
Knowledge regarding social information is commonly believed to be derived from sources such as formal relationships and interviews and can be plotted as complex networks. We explored whether social networks can also be extracted through other means by using language statistics. In three computational studies we computed first-order and…
Descriptors: Social Networks, Computational Linguistics, Novels, Semantics
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Wagner, Christopher J.; González-Howard, María – Educational Researcher, 2018
Education researchers have extensively studied classroom discourse as a way to understand classroom structures and learning. This article proposes the use of social network analysis (SNA) as a method for discourse studies in education. SNA enables us to learn about the connections between persons and the patterns of relations within groups. This…
Descriptors: Discourse Analysis, Social Networks, Network Analysis, Correlation
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Curran, F. Chris; Kellogg, Ann T. – Journal of School Leadership, 2017
Grounded in the sense-making literature, this study explores the discourse around and sentiment toward the newly passed Every Student Succeeds Act (ESSA) as discussed on the social media platform Twitter. The study explores the characteristics of and connections between users, the content of posts, and the sentiment toward ESSA. Data consisted of…
Descriptors: Social Networks, Network Analysis, Social Media, Educational Legislation
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Cai, Zhiqiang; Eagan, Brendan; Dowell, Nia M.; Pennebaker, James W.; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2017
This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…
Descriptors: Epistemology, Network Analysis, Cooperative Learning, Computer Software
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Ryu, Suna; Lombardi, Doug – Educational Psychologist, 2015
This article characterizes "engagement in science learning" from a sociocultural perspective and offers a mixed method approach to measuring engagement that combines critical discourse analysis (CDA) and social network analysis (SNA). Conceptualizing engagement from a sociocultural perspective, the article discusses the advantages of a…
Descriptors: Coding, Classroom Communication, Language Usage, Sociocultural Patterns
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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
Tirado, Ramon; Hernando, Angel; Aguaded, Jose Ignacio – Online Submission, 2012
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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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction