A Multi-Temporal Context-aware System for Competences Management

被引：58
作者：
Rosa J.H. [1 ]
Barbosa J.L.V. [1 ]
Kich M. [1 ]
Brito L. [1 ]
机构：
[1] Universidade Do Vale Do Rio Dos Sinos, 950, Unisinos Ave., São Leopoldo, Rio Grande do Sul
来源：
International Journal of Artificial Intelligence in Education | 2015年 / 25卷 / 4期
关键词：
Competences management; Context awareness; Contexts history;
D O I：
10.1007/s40593-015-0047-y
中图分类号：
学科分类号：
摘要：
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. © 2015 International Artificial Intelligence in Education Society.
引用
收藏
页码：455 / 492
页数：37
相关论文
共 80 条
  • [1] Barbosa J.L.V., Hahn R.M., Barbosa D.N.F., Saccol A., A ubiquitous learning model focused on learner interaction, International Journal of Learning Technology, 6, pp. 62-83, (2011)
  • [2] Barbosa J.L.V., Barbosa D.N.F., Wagner A., Learning in ubiquitous computing environments, International Journal of Information and Communication Technology Education, 8, 3, pp. 64-77, (2012)
  • [3] Barbosa D.N.F., Barbosa J.L.V., Bassani P.B.S., Rosa J., Martins M., Nino C., Content management in a ubiquitous learning environment, International Journal of Computer Applications in Technology, 46, 1, pp. 24-35, (2013)
  • [4] Beham G., Kump B., Ley T., Lindstaedt S., Recommending knowledgeable people in a work-integrated learning system, Procedia Computer Science, 1, 2, pp. 2783-2792, (2010)
  • [5] Bellavista P., Corradi A., Fanelli M., Foschini L., A survey of context data distribution for mobile ubiquitous systems, ACM Computing Surveys (CSUR), 44, pp. 241-2445, (2012)
  • [6] Berio G., Harzallah M., Towards an integrating architecture for competence management, Computers in Industry, 58, 2, pp. 199-209, (2007)
  • [7] Bettini C., Brdiczka O., Henricksen K., Nicklas D., Ranganathan A., Riboni D., A survey of context modelling and reasoning techniques, Pervasive and Mobile Computing, 6, pp. 161-180, (2010)
  • [8] Brooks C., Panesar R., Greer J., Awareness and collaboration in the ihelp courses content management system, Innovative Approaches for Learning and Knowledge Sharing, 4227, pp. 34-44, (2006)
  • [9] Brunato M., Battiti R., Statistical learning theory for location fingerprinting in wireless lans, Computer Networks, 47, pp. 825-845, (2005)
  • [10] Chang S.S., Wu S.M., Fang R.J., Juang S.T., Study on the intermediary effect of core competence: Relationship between knowledge worker management strategy and job performance, Proceedings of the 10th WSEAS International Conference on Multimedia Systems and Signal Processing, pp. 125-131, (2010)
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