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A Knowledge-Based Framework for E-Learning in Heterogeneous Pervasive Environments
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Author(s): Michele Ruta (Politecnico di Bari, Italy), Floriano Scioscia (Politecnico di Bari, Italy), Simona Colucci (Politecnico di Bari, Italy), Eugenio Di Sciascio (Politecnico di Bari, Italy), Tommaso Di Noia (Politecnico di Bari, Italy)and Agnese Pinto (D.O.O.M. s.r.l., Italy)
Copyright: 2010
Pages: 22
Source title:
Multiplatform E-Learning Systems and Technologies: Mobile Devices for Ubiquitous ICT-Based Education
Source Author(s)/Editor(s): Tiong Thye Goh (Victoria University of Wellington, New Zealand)
DOI: 10.4018/978-1-60566-703-4.ch002
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Abstract
We propose a ubiquitous learning approach useful not only to acquire knowledge in the traditional educational meaning, but also to solve cross-environment everyday problems. By formalizing user request and profile through logic-based knowledge representation languages, a lightweight but semantically meaningful matchmaking process is executed in order to retrieve the most suitable learning resources. Standard formats for distribution of learning objects is extended in a backward-compatible way to support semantic annotations in our framework. Framework and algorithms are absolutely general purpose, nevertheless an application has been developed where the semantic-based Bluetooth/RFID discovery protocols devised in previous work, support users –equipped with an handheld device– to discover learning objects satisfying their needs in a given environment.
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