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Explore an online conversation analysis between postgraduate students and their professor at Universidad Caracas, Venezuela. This study delves into synchronous and asynchronous interactions, demographics, and factors influencing medium variables. Discover how computer-mediated discourse is analyzed, from examining raw data to coding semantics.
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Analysing computer mediated conversations An online conversation with postgraduate students and their professor, Ph.D Dafne Gonzalez at Universidad Caracas, Venezuela invited guest: Susanne Nyrop, exam.Ped, Stud.cand.ped, Danish University of Education in Copenhagen, Denmark
Context: Participant demographics Medium variables: synch/asynch, frequency, length Key variables: examining raw data for meaning of messages, purpose, language, structure. Basis for comparison Content: Structure: ex. first or second person pronouns, action verbs. Counting frequency of Semantics: coding statements in different categories Computer-mediated discourse analysis (with inspiration from Kirk Job-Sluder & Sasha Barab, 2004)
Online ethnography - a narrative approach Data material: • chat log, email, group mail, voice recording, homepages, course syllabi,
Case: Webheads in action Level of participation: • active as read-only • Novices • Getting involved • Social networkers • Mentoring others • Domain experts
WIA timeline: 2001-2004 • Who joined when? • What happened, week for week? • Interactive moments - who reported back? • Recurrent activities (weekly, monthly, yearly) • Significant dates of special events • Structuring collections of dates, papers, notes etc • Participant excellence • Collaborative activities • Social messages
Motivation factors: • Learning • Knowledge building • Experimental partnership • Building social relations • Technological support • Feedback on activities • Invitation for conferences Professional development