scholarly journals From Cognitive Landscapes to Digital Hyperscapes

2003 ◽  
Vol 4 (2) ◽  
Author(s):  
Jose Bidarra ◽  
Ana Dias
Keyword(s):  
Learning Styles ◽  
Learning Management Systems ◽  
Learning Objects ◽  
Management Systems ◽  
Digital Information ◽  
Cognitive Profiles ◽  
E Learning ◽  
Learning Management ◽  
Key Terms ◽  
Massive Information

<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>

scholarly journals Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

2015 ◽  
Vol 67 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Gabroveanu Mihai
Keyword(s):  
Association Rules ◽  
Management System ◽  
Recommendation System ◽  
Learning Management System ◽  
Distributed Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
User Data ◽  
E Learning ◽  
Learning Management

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.

scholarly journals Towards Model-Based User Interface Development of e-Learning Management Systems

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
Keyword(s):  
User Interface ◽  
Learning Management Systems ◽  
Management Systems ◽  
Model Based ◽  
E Learning ◽  
Learning Management

scholarly journals Behavioral Patterns for Automatic Detection of Learning Styles in Learning Management Systems: a Case Study

2015 ◽  
Vol 106 (1) ◽  
pp. 69-77 ◽  
Author(s):  
Guillermo Salazar Lugo ◽  
Luis-Felipe Rodríguez ◽  
Ramona Imelda García López ◽  
Adrián Macías Estrada ◽  
Moisés Rodríguez Echeverría
Keyword(s):  
Learning Styles ◽  
Automatic Detection ◽  
Learning Management Systems ◽  
Management Systems ◽  
Behavioral Patterns ◽  
Learning Management

Major Trends, Issues, and Challenges with Learning Management Systems

2014 ◽  
pp. 318-331 ◽  
Author(s):  
Betul Özkan Czerkawski ◽  
Dawn Panagiota Gonzales
Keyword(s):  
Higher Education ◽  
Online Instruction ◽  
Management System ◽  
Teaching And Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
Profound Impact ◽  
Blended Courses ◽  
E Learning ◽  
Learning Management

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.

A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet

2014 ◽  
Vol 9 (2) ◽  
pp. 1-13
Author(s):  
Bassel Alkhatib ◽  
Ammar Alnahhas ◽  
Firas Albadawi
Keyword(s):  
Learning Management Systems ◽  
Learning System ◽  
New Method ◽  
Management Systems ◽  
Similarity Learning ◽  
Text Similarity ◽  
Learning Content ◽  
E Learning ◽  
Learning Management ◽  
Automatic Collection

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.

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