Adaptive Feedback Improving Learningful Conversations at Workplace

Antonio Granito, Giuseppina Rita Mangione, Sergio Miranda, Francesco Orciuoli, Pierluigi Ritrovato

Abstract


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 generating adaptive feedbacks, in the form of recommendations, for the conversation partners. The concepts extracted from the conversation texts trigger the recommendations, while queries on the organizational knowledge, represented by means of Semantic Web technologies, generate their content. Lastly, the Fuzzy Formal Concept Analysis is exploited to conceptualize domain knowledge.

Keywords


workplace learning, adaptive feedback, conversation based learning, conversation partners, organizational knowledge, semantic web

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DOI: https://doi.org/10.20368/1971-8829/896



Journal of e-Learning and Knowledge Society | ISSN (online) 1971 - 8829 | ISSN (paper) 1826 - 6223 © 2017 Je-LKS - Italian e-Learning Association (SIe-L).