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Bruun, Jesper; Lindahl, Mats; Linder, Cedric – International Journal of Research & Method in Education, 2019
A new methodology is proposed for qualitative discourse analysis (QDA) aimed at gaining enhanced insights into learning possibilities and indicators that arise during classroom group discussions. The constitution of this new methodology has two principle components: a discourse analysis approach that aims to identify the relationships between…
Descriptors: Network Analysis, Discourse Analysis, Classroom Communication, Group Discussion
Solodnikov, V. V.; Chkanikova, A. M. – Russian Education and Society, 2009
In Russia, sociologists do not have reliable statistical data as to the number of same-sex unions and the number of children being brought up in these families, and non-Russian studies on the topic are flawed and misleading. Russians are said to be antagonistic to the idea of children being raised in same-sex households. People are concerned over…
Descriptors: Sexual Orientation, Foreign Countries, Sexual Identity, Internet
Xin, Cindy; Feenberg, Andrew – Journal of Distance Education, 2006
This article elaborates a model for understanding pedagogy in online educational forums. The model identifies four key components. Intellectual engagement describes the foreground cognitive processes of collaborative learning. Communication processes operating in the background accumulate an ever richer store of shared understandings that enable…
Descriptors: Computer Mediated Communication, Cognitive Processes, Connected Discourse, Discourse Analysis
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