Abstract
Social user-generated content (e.g. comments, blogs) will play a key role in learning environments providing a rich source for capturing diverse viewpoints; and is particularly beneficial in ill-defined domains that encompass diverse interpretations. This paper presents ViewS - a framework for capturing viewpoints from user-generated textual content following a semantic sensing approach. It performs semantic augmentation using existing ontologies and presents the resultant semantic spaces in a visual way. ViewS was instantiated for interpersonal communication and validated in a study with comments on job interview videos, achieving over 82% precision. The potential of ViewS for enriching learning environments is illustrated in an exploratory study by analysing micro-blogging content collected within a learning simulator for interpersonal communication. A group interview with simulator designers evinced benefits for gaining insights into learner reactions and further simulator improvement.
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Despotakis, D., Dimitrova, V., Lau, L., Thakker, D., Ascolese, A., Pannese, L. (2013). ViewS in User Generated Content for Enriching Learning Environments: A Semantic Sensing Approach. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_13
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DOI: https://doi.org/10.1007/978-3-642-39112-5_13
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