On the Changing Nature of Learning Context: Anticipating the Virtual Extensions of the World

Contextual learning starts from the premise that learning cannot take place in a vacuum, but should somehow be connected with real world attributes to make sense to learners. This notion is of great importance for workplace learning, professional development, lifelong learning and meaningful learning at schools. Today, digital media tend to bring about new dimensions of context: internet connections and mobile devices enable learners to overcome restrictions of time and location, and neglect the physical boundaries and limitations of the learning environment. This calls for reconsidering contextual learning. This paper conceptualises the notion of learning context in the light of its virtualised extensions. It explains the historical and pedagogical backgrounds of contextual learning and reviews existing models that deal with context parameters. The paper identifies and discusses the constituting components of context for learning and it demonstrates how attributes of virtual representations affect the nature of context. The overall purpose of the paper is re-establishing the notion of contextual learning in the light of emerging digital media and making explicit the various dimensions involved

Modelo do usuário sensível ao contexto cultural em um sistema e-learning adaptativo

Este artigo apresenta uma nova abordagem para a modelagem do aluno em sistemas de e-learning para melhorar as capacidades de personalização, levando em consideração várias perspectivas complementares de contexto, como os contextos pessoal, educacional, tecnológico e especialmente o contexto cultural. As principais características da nossa abordagem são descritas e ilustradas, em particular detalhando (i) a adoção de ontologias para representação de modelos de contexto e (ii) como o contexto cultural poder ser modelado como uma extensão do tradicional modelo do aluno

A MDD Strategy for developing Context-Aware Pervasive Systems

This master thesis proposes a methodological approach to develop context-aware pervasive systems based on ontologies and the Model-Driven Development (MDD) guidelines.Serral Asensio, E. (2008). A MDD Strategy for developing Context-Aware Pervasive Systems. http://hdl.handle.net/10251/12446Archivo delegad

DYNAMIC ONTOLOGIES THAT ENCODE AND MANAGE RELEVANCE IN CONTEXT AWARE SYSTEMS

Context aware systems, to date, tend to fall into one of two categories: domain specific or generic across multiple domains. Domain specific systems are single-use instances – that is, establishing the ability to manage context for an additional domain necessitates the creation of an additional system. Authors of such systems should instead strive for generic ones. Generic context management systems require a generic modeling and context delivery system. Previous research has shown that generic context aware systems prove to be quite dynamic through their use of ontologies. These ontologies, however, are very rigid in nature, requiring additional software to mature and manage instantiated models, filter relevant information, or pre-cache information. The result is users who wish to use generic systems must encode relevance across ontological models, filters, and newly created external software with each re-use in order to manage context manipulation at run time. Through the design and implementation of Rover3, while leveraging the concept of an Automatic and Dynamic Information Model (ADIM) methodology, we outline what we believe how context aware systems should function. By providing a framework to encode relevance within ontologies, we minimize the way to present and consume relevant information. Our context management framework uses dynamic ontologies to deliver relevant information to users striving to achieve goals for any given situation. Walking through an accident response case study we showcase the aforementioned features of Rover3, showing how such incidents can benefit from context aware systems. The value of Rover3 is expressed through an extensibility study where efforts to expand existing ontological models are compared between Rover2 and Rover3. This dissertation presents: • The notion of relevant context and how it can be managed at runtime through a generic context aware system. • The required primitives and rules for modeling any generic situation. • The Automatic and Dynamic Information Model (ADIM) methodology, how one can encode relevance in a general information model, and exhaustive grammar and rules for this version of ADIM. • The Rover3 system and its application of ADIM, showcasing how it provides a generic framework to model and manage context that does not require any additional software