Jurnal
Content Analysis to Detect The Role Behaviors of Student in Online Discussion
XMLOnline discussion is a powerful way to conduct
online conversation and a significant component of online
learning. Online discussion can provide a platform for online
learners to communicate with one another easily, without the
constraint of place and time. In an online discussion, the students
communicate a common interest, exchange information, share
ideas, and assist each other in text/transcript form. So far,
content analysis is a popular method for analyzing transcripts.
However, using content analysis in computer supported
collaborative learning (CSCL) or computer mediated
communica
tion (CMC) research focused on the surface of the
transcripts. Usually, content analysis is employed to categorize
news article, product reviews and web pages. Therefore, this
study proposed content analysis to a deeper level is to detect the
role behavior of students in an online discussion based on a
conversation in text form. The findings showed that this method
provides more meaningful students’ interaction analysis in term
of information on communication transcripts in online
discussion. Educators can assess the contribution of students and
can detect the role behavior of the student based on their
conversation in transcript form; whether the role behavior as a
mediator, motivator, nformer, facilitator, or as a questioner.
Detail Information
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Jurnal
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Bahasa |
English
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Penerbit | International Conference on Electrical Engineering, Computer Science and Informatics EECSI : Yogyakarta., 2014 |
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Published
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EECSI
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