文章基本信息

标题：Adaptive Feedback Improving Learningful Conversations at Workplace
本地全文：下载
作者：Antonio Granito ; Giuseppina Rita Mangione ; Sergio Miranda 等
期刊名称：Je-LKS
印刷版ISSN：1826-6223
电子版ISSN：1971-8829
出版年度：2014
卷号：10
期号：1
页码：63-83
DOI：10.20368/1971-8829/896
出版社：Casalini Libri
摘要：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.
关键词：workplace learning;adaptive feedback;conversation based learning;conversation partners;organizational knowledge;semantic web.