{"title":"A Knowledge Management Process to Enhance Trustworthiness-based Security in On-line Learning Teams","authors":"Jorge Miguel, S. Caballé, F. Xhafa","doi":"10.1109/INCoS.2015.70","DOIUrl":null,"url":null,"abstract":"Both information and communication technologies and computer-supported collaborative learning have been widely adopted in many educational institutions. Likewise, general e-assessment processes offer enormous opportunities to enhance student's learning experience. In this context, e-Learning stakeholders are increasingly demanding new requirements and, among them, information security in e-Learning stands out as a key factor. One of the key strategies in information security is that security drawbacks cannot be solved with technology solutions alone. Thus we have proposed a functional approach based on trustworthiness, namely, a trustworthiness security methodology. Since this methodology proposes processes and methods, which are closely related to knowledge management, in this paper, we will endow our methodology with current knowledge management processes. For this reason, we analyse the current models and techniques used for general knowledge management to be applied to trustworthy data from e-Learning systems. Moreover, we discuss several issues that arise when managing large data sets that span a rather long period of time. Hence, the main goal of this paper is to analyse existing knowledge management processes to endow our trustworthiness security methodology with a suitable set of knowledge management techniques and models. Finally, we exemplify the approach with trustworthy data of the on-line activity of virtual classrooms in our Virtual Campus of Open University of Catalonia.","PeriodicalId":345650,"journal":{"name":"2015 International Conference on Intelligent Networking and Collaborative Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2015.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Both information and communication technologies and computer-supported collaborative learning have been widely adopted in many educational institutions. Likewise, general e-assessment processes offer enormous opportunities to enhance student's learning experience. In this context, e-Learning stakeholders are increasingly demanding new requirements and, among them, information security in e-Learning stands out as a key factor. One of the key strategies in information security is that security drawbacks cannot be solved with technology solutions alone. Thus we have proposed a functional approach based on trustworthiness, namely, a trustworthiness security methodology. Since this methodology proposes processes and methods, which are closely related to knowledge management, in this paper, we will endow our methodology with current knowledge management processes. For this reason, we analyse the current models and techniques used for general knowledge management to be applied to trustworthy data from e-Learning systems. Moreover, we discuss several issues that arise when managing large data sets that span a rather long period of time. Hence, the main goal of this paper is to analyse existing knowledge management processes to endow our trustworthiness security methodology with a suitable set of knowledge management techniques and models. Finally, we exemplify the approach with trustworthy data of the on-line activity of virtual classrooms in our Virtual Campus of Open University of Catalonia.