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Title:
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ADAPTIVE FEEDBACK IMPROVING LEARNINGFUL CONVERSATIONS AT WORKPLACE |
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Author(s):
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Matteo Gaeta, Giuseppina Rita Mangione, Sergio Miranda, Francesco Orciuoli |
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ISBN:
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978-972-8939-88-5 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Workplace Learning, Knowledge Extraction, Adaptive Educational System, Semantic Web, Fuzzy Formal Concept Analysis. |
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Type:
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Full Paper |
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First Page:
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175 |
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Last Page:
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182 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This work proposes the definition of an Adaptive Conversation-based Learning System (ACLS) able to foster computer-mediated tutorial dialogues at the workplace in order to increase the probability to generate meaningful learning during conversations. ACLS provides a virtual assistant selecting the best partner to involve in the conversation and generating adaptive feedbacks for the dialog. Adaptive feedbacks are triggered by the concepts automatically extracted from the conversation texts, while their content is generated by querying the organizational knowledge represented by means of Semantic Web technologies. Lastly, Fuzzy Formal Concept Analysis is exploited to conceptualize domain knowledge. |
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