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.
|Titolo:||A knowledge-based framework for e-learning in heterogeneous pervasive environments|
|Titolo del libro:||Multiplatform E-Learning Systems and Technologies: Mobile Devices for Ubiquitous ICT-Based Education|
|Data di pubblicazione:||2009|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.4018/978-1-60566-703-4.ch002|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|