The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Discourse and Network Analyses of Learning Conversations
Abstract
Analytical frameworks for examining educational computer mediated discourse have been mainly designed for asynchronous discussions; hence the classification schemes are typically more sensitive when applied to longer postings than the shorter, more condensed exchanges present in online synchronous discourse. This chapter introduces the exchange structure analysis framework for examining online synchronous interaction at levels of structural organization and pragmatic intention. The further application of social network analysis as a method and visualization tool for the coded exchanges are explained and illustrated. Examples are provided from transcript data of moderated collaborative group discussions during virtual tutorials in a case study. With the integration of discourse and social network analytical methods, a richer interpretation is gained on the processes of articulation and negotiation of meaning during online learning conversations.
Related Content
|
Sandeep Gupta, Ruchi Varshney, Devendra Kumar Tiwari, Syed Tahir Hussain Rizvi, Tarun Varshney, Pavan Kumar Shukla.
© 2026.
32 pages.
|
|
Ezgi Güney.
© 2026.
30 pages.
|
|
Pradeep Kumar Tiwari, Santosh Dubey, Ravi Srivastava, Satya Prakash Singh, Sandeep Kanaujia, Shadab Hussain.
© 2026.
30 pages.
|
|
Sandeep Gupta, Parvesh Saini, Nitin Sundriyal, Juan M. Ramirez, Shweta Goyal.
© 2026.
28 pages.
|
|
Neeraj Kumar Srivastava, Anjaneya Awasthi, Neha Pandey, Susmith Rajendra Barigidad.
© 2026.
32 pages.
|
|
Kiran Kumari, Prateek Nigam.
© 2026.
24 pages.
|
|
Madgula Satyanrayana, Venkataramana Veeramsetty, Durgam Rajababu.
© 2026.
36 pages.
|
|
|