scholarly journals Se-LMS: Secured learning management systems for smart school

Author(s):  
Olorunjube James Falana ◽  
◽  
Ife Olalekan Ebo ◽  
Ifeanyi Shadrach Odom ◽  
◽  
...  

One of the research topics that focus on Information Communication Technology in Education is Learning Management System (LMS). LMS is a web-based software application developed to create, manage, and delivered e-learning courses. Many research works have been conducted on different learning options in LMS. However, the increased use of LMS has brought with it the security issues such as the denial of service attack, malware and privacy. In order to protect the different actors of LMS such as students, instructors and controlling authorities, this paper proposes a multi-factor authentication and identity management for securing LMS. Se-LMS is capable of dynamically authenticating users using different methods such as a seamless combination of Oauth2.0 and 2FA or Username/Password and 2FA as proposed. Also, the paper explains the situation and existing research relating to security in Learning Management Systems in smart school. The proposed framework has been applied to cloud-based LMS to show the ability to mitigate an attack.

2015 ◽  
Vol 67 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Gabroveanu Mihai

Abstract Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.


2012 ◽  
Vol 47 (1) ◽  
pp. 59-71
Author(s):  
Josefina Guerrero-García ◽  
Juan Manuel González-Calleros ◽  
Jaime Muñoz-Arteaga ◽  
Miguel Ángel León-Chávez ◽  
Carlos Reyes-García

Author(s):  
Jose Bidarra ◽  
Ana Dias

<P> The widespread diffusion of e-Learning in organizations has encouraged the discovery of more effective ways for conveying digital information to learners, for instance, via the commonly called Learning Management Systems (LMS). A problem that we have identified is that cognitive variables and pedagogical processes are rarely taken into consideration and sometimes are confused with the mere use by learners of “diversified” hypermedia resources. Within the context of widespread dissemination of multimedia content that has followed the emergence of massive information resources, we discuss the need for more powerful and effective learner-centered tools capable of handling all kinds of design configurations and learning objects. </p> <P class=abstract><B>Key Terms: </B>cognitive profiles, learning styles, mind mapping, multimedia and hypermedia content, hyperscapes, e-Learning, learning objects, Learning Management Systems (LMS).</P>


Author(s):  
Betul Özkan Czerkawski ◽  
Dawn Panagiota Gonzales

A Learning Management System (LMS) offers a set of tools for e-learning delivery and management. For institutions offering online or blended courses, an LMS has a profound impact on teaching and learning because it is the main technology used in higher education e-learning courses. This chapter discusses major trends, issues, and challenges with the LMS in the context of online instruction for higher education. The chapter ends with a discussion of new trends with LMSs.


Author(s):  
Bassel Alkhatib ◽  
Ammar Alnahhas ◽  
Firas Albadawi

As text sources are getting broader, measuring text similarity is becoming more compelling. Automatic text classification, search engines and auto answering systems are samples of applications that rely on text similarity. Learning management systems (LMS) are becoming more important since electronic media is getting more publicly available. As LMS continuously needs content enrichment and the web is getting richer, automatic collection of learning materials becomes an innovative idea. Intelligent agents can be used with a similarity measurement method to implement the automatic collection process. This paper presents a new method for measuring text similarity using the well-known WordNet Ontology. The proposed method assumes that a text is similar to another if it represents a more specific semantic. This is more suitable for LMS content enrichment as learning content can usually be expanded by a more specific one. This paper shows how the hierarchy of WordNet can be taken advantage of to determine the importance of a word. It is also shown how similarity method within an e-learning system is exploited to achieve two goals. The first one is the enrichment of the e-learning content, and the second is the detection of semantically similar questions in e-learning questions banks.


2013 ◽  
Vol 655-657 ◽  
pp. 1791-1794
Author(s):  
Xiao Fen Zhang ◽  
Yi Hou ◽  
Jia Lin Ma

In order to increase the utilization of learning resources and produce interchangeable components, a novel communication model is proposed. The model utilizes SCORM to standardize the learning contents and learning management systems and specify the behaviors of the learning contents independent of the learning management system used. At the same time, the model utilizes SOAP to increase interoperability within the wide range of programs and environments. By doing this, different learning groupwares and learning management systems can be integrated.


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