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An architecture for an adaptive and collaborative learning management system in aviation security - Zurich Open Repository and Archive


Guo, Y; Schwaninger, A; Gall, H C (2008). An architecture for an adaptive and collaborative learning management system in aviation security. In: 17th IEEE International Workshop in Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE 2008), Rome, Italy, 23 June 2008 - 25 June 2008.

Abstract

The importance of aviation security has increased dramatically in recent years. Frequently changing regulations and the need to adapt quickly to new and emerging threats are challenges that need to be addressed by airports, security companies and appropriate authorities across the world. Learning Management Systems (LMS) have been developed as effective tools for enhancing the management, integration and application of knowledge in organizations. In the aviation security domain, we need mechanisms to quickly adapt to new learning content, to different roles ranging from screeners to supervisors, to flexible training scenarios and solid job assessments. For that, a learning system has to be flexible and adaptive both in knowledge, organizational and in collaboration dimensions. Current LMS do not meet these requirements. In this paper we present a software architecture that is apt to support the adaptability and collaboration needs for such a system in aviation security. We discuss the requirements, roles, learning objects and course configuration in terms of adaptive and collaborative learning. We present a six-layer architecture and discuss some of its application scenarios. Our aim is to improve the quality and usefulness of LMS in aviation
security by utilizing knowledge-based analysis for data analysis and integrating a process engine for collaborative learning. We briefly report on our prototype and the gained
first feedback from the users.

Abstract

The importance of aviation security has increased dramatically in recent years. Frequently changing regulations and the need to adapt quickly to new and emerging threats are challenges that need to be addressed by airports, security companies and appropriate authorities across the world. Learning Management Systems (LMS) have been developed as effective tools for enhancing the management, integration and application of knowledge in organizations. In the aviation security domain, we need mechanisms to quickly adapt to new learning content, to different roles ranging from screeners to supervisors, to flexible training scenarios and solid job assessments. For that, a learning system has to be flexible and adaptive both in knowledge, organizational and in collaboration dimensions. Current LMS do not meet these requirements. In this paper we present a software architecture that is apt to support the adaptability and collaboration needs for such a system in aviation security. We discuss the requirements, roles, learning objects and course configuration in terms of adaptive and collaborative learning. We present a six-layer architecture and discuss some of its application scenarios. Our aim is to improve the quality and usefulness of LMS in aviation
security by utilizing knowledge-based analysis for data analysis and integrating a process engine for collaborative learning. We briefly report on our prototype and the gained
first feedback from the users.

Citations

1 citation in Web of Science®
3 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
150 Psychology
Language:English
Event End Date:25 June 2008
Deposited On:29 Dec 2008 09:25
Last Modified:10 Aug 2017 18:39
Additional Information:The paper was presented at the Workshop for Distributed and Mobile Collaboration (DMC 2008), 24 June 2008. © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:https://doi.org/10.1109/WETICE.2008.26
Official URL:http://www.ifi.uzh.ch/pax/web/index.php/publication/show/id/915
Related URLs:http://www.sel.uniroma2.it/wetice08/

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