Conversation-based Learning in the Social Semantic Web
作者： Francesco Orciuoli , Giuseppina Rita Mangione , Saverio Salerno , Matteo Gaeta
关键词: Ontology (information science) 、 Semantic Web 、 Collaborative learning 、 Social Semantic Web 、 Knowledge management 、 Social constructivism 、 World Wide Web 、 Social learning 、 Computer science 、 Collaborative software 、 Social web
摘要: The collaborative approaches based on concepts of Knowledge construction and knowledge creation consider the learning as a direct function processes social participation dynamic argumentative talk between peers. These justify Social Semantic Web’ success theoretical technological model which establishes synergy an Ontology-based approach to (suitable for defining, structuring sharing knowledge) software environments (utilized create share socially). above mentioned make reference Web respectively. If Ontologies are effective mechanism formal representation knowledge, social/collaborative activities adopt pedagogical theories Constructivism. Recently, scientific community has promoted Educational Web, where educational content easily created, shared used by teachers students even without possessing brilliant engineering skills or know-how. purpose this work is model, according Web’s principles, adaptive environment able support Instruction-based Conversation in environment. In such environment, conversational process guided script automatically generated basing explicit disciplinary domain, goal be achieved, well learner’s characteristics (cognitive state) corporate resources available at given time. maintains learner's cognitive balance, minimizes extraneous processing, appropriately manages essential processing maximizes generative processing.
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