Structure matters: adoption of structured classification approach in the context of cognitive presence classification
Date
2015
Authors
Waters, Z.
Kovanovic, V.
Kitto, K.
Gasevic, D.
Editors
Zuccon, G.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015 / Zuccon, G. (ed./s), vol.9460, pp.227-238
Statement of Responsibility
Conference Name
11th Asia Information Retrieval Societies Conference, AIRS 2015 (2 Dec 2015 - 4 Dec 2015 : Brisbane, Australia)
Abstract
Within online learning communities, receiving timely and meaningful insights into the quality of learning activities is an important part of an effective educational experience. Commonly adopted methods-such as the Community of Inquiry framework-rely on manual coding of online discussion transcripts, which is a costly and time consuming process. There are several efforts underway to enable the automated classification of online discussion messages using supervised machine learning, which would enable the real-time analysis of interactions occurring within online learning communities. This paper investigates the importance of incorporating features that utilise the structure of online discussions for the classification of " cognitive presence"-the central dimension of the Community of Inquiry framework focusing on the quality of students' critical thinking within online learning communities. We implemented a Conditional Random Field classification solution, which incorporates structural features that may be useful in increasing classification performance over other implementations. Our approach leads to an improvement in classification accuracy of 5.8% over current existing techniques when tested on the same dataset, with a precision and recall of 0.630 and 0.504 respectively.
School/Discipline
Dissertation Note
Provenance
Description
Link to a related website: https://opus.lib.uts.edu.au/bitstream/10453/121245/1/Waltersetal.-2015-Structurematters.pdf, Open Access via Unpaywall
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Copyright 2015 Springer International