2012 IEEE Sixth International Conference on Semantic Computing 2012
DOI: 10.1109/icsc.2012.14
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An Ontology-Based Approach for Sharing and Analyzing Learning Trace Corpora

Abstract: Researchers wishing to analyze Technology Enhanced Learning (TEL) situations usually collect interaction traces produced by TEL environments. This paper addresses the issue of sharing, between researchers using TEL environments, of contextualized interaction trace corpora and analysis tools of these corpora. We present a new ontology-based approach called the "proxy approach" to address this issue of sharing.

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Cited by 5 publications
(2 citation statements)
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“…In this section, we concisely present the "Proxy approach" (see [8] and [9] for more details). This approach addresses the problems of (1) heterogeneity (semantics, formats) of collected data and the corresponding learning contexts, (2) strong coupling between data formats and analysis tools, and (3) non-reproducibility of previous analyses.…”
Section: Overview Of the Proxy Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, we concisely present the "Proxy approach" (see [8] and [9] for more details). This approach addresses the problems of (1) heterogeneity (semantics, formats) of collected data and the corresponding learning contexts, (2) strong coupling between data formats and analysis tools, and (3) non-reproducibility of previous analyses.…”
Section: Overview Of the Proxy Approachmentioning
confidence: 99%
“…(3) answer a question by giving an explanation; (4) answer a question by giving an example; (5) answer a question by giving an explanation and an example; (6) contest an answer; (7) comment an answer; (8) answer one's own question; (9) ask and answer a question; (10) provide some information; (11) start a discussion thread to treat some subject; (12) start a discussion thread to give some information; and (13) start a discussion thread to ask a question. In defining these categories, we tried to think about different post categories we can find in such a discussion forum.…”
Section: B Analyses Descriptionmentioning
confidence: 99%