A Multi-Temporal Context-aware System for Competences Management

  • João H. Rosa
  • Jorge L. V. Barbosa
  • Marcos Kich
  • Lucas Brito
Article

Abstract

The evolution of computing technology and wireless networks has contributed to the miniaturization of mobile devices and their increase in power, providing services anywhere and anytime. In this scenario, applications have considered the user’s contexts to make decisions (Context Awareness). Context-aware applications have enabled new opportunities in different areas, for example, education, games and entertainment, commerce, and competence management. In this article, we present MultCComp, a multi-temporal context-aware system for competences management. The main system contribution is to take advantage of the workers’ present and past contexts to help them to develop their competences. We define as multi-temporal context awareness the joint use of workers’ present and past contexts to assist them in the development of their competences. We developed a prototype and conducted two experiments with it in an evaluation environment. The first experiment aimed to demonstrate the system functionalities. It consisted of two evaluation scenarios that were followed by two users. The second experiment focused on evaluating the acceptance of the system. It comprised a scenario that was followed by 21 users, who filled out a questionnaire at the end of the test.

Keywords

Competences management Context awareness Contexts history 

Notes

Acknowledgments

This work was financed by Capes/Brazil (Coordination for the Improvement of Higher Education Personnel – http://www.capes.gov.br) and CNPq/Brazil (National Council for Scientific and Technological Development – http://www.cnpq.br). We would like to acknowledge both institutions for their support. In addition, we are grateful to Unisinos ( http://www.unisinos.br) and the Applied Computing Graduate Program for embracing this research. We also thank all volunteers who collaborated in the evaluation of the system. Finally, we would like to express our sincere thank to the reviewers for their valuable contributions to the final quality of this article.

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Copyright information

© International Artificial Intelligence in Education Society 2015

Authors and Affiliations

  • João H. Rosa
    • 1
  • Jorge L. V. Barbosa
    • 1
  • Marcos Kich
    • 1
  • Lucas Brito
    • 1
  1. 1.Universidade do Vale do Rio dos SinosSão LeopoldoBrazil

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