Applying an Evolutionary Approach for Learning Path Optimization in the Next-Generation E-Learning Systems

Author(s):  
Vincent Tam ◽  
S.T. Fung ◽  
Alex Yi ◽  
Edmund Y. Lam
Author(s):  
Mohamed Bendahmane ◽  
Brahim El Falaki ◽  
Mohammed Benattou

In most existing E-learning systems, activities' content and order are presented in a static manner without taking into consideration the learners characteristics, profiles or competencies. The challenge is to adapt and regulate learning processes according to the learner profile by applying learning models that use new information technologies. There are several adaptation approaches of E-learning environments, such as, adaptive hypermedia system, semantic web, etc. In our proposed system, we adopted a Competency Based Approach to offer each learner an individualized learning path for the acquisition of the competence targeted on the basis of the collaborative filtering. Concerning the technological aspect, the system is implemented as a web services while adhering to a service-oriented architecture. This allows interoperability with heterogeneous learning systems


2011 ◽  
pp. 3433-3448
Author(s):  
Phil Long ◽  
Frank Tansey

Specifications define the nature of the interconnections between the distinct parts of complex learning systems, but not their boundaries.  Next generation CMS tools are emerging from standards discussions that challenge current e-learning systems design boundaries. They raise the prospect of a complex but smoothly functioning set of components and services that aggregate in ways that best serve individual communities of users. Users need to engage in the process to express their requirements for e-learning software. These building blocks, produced by a small number of organizations, are establishing the framework that will enable CMS environments to become vastly different than the CMS you might now be using.


2021 ◽  
Vol 19 (2) ◽  
pp. 20-40
Author(s):  
David Brito Ramos ◽  
Ilmara Monteverde Martins Ramos ◽  
Isabela Gasparini ◽  
Elaine Harada Teixeira de Oliveira

This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for collaborative activities, and thus assist the teacher in making decisions. To validate the practical utility of the model, the authors created two tools, one to visualize the learning paths and another to suggest groups of students for collaborative activities. Both tools were tested in a real environment, presenting useful results. The authors carried experiments with students from three programs: physics, electrical engineering, and computer science. Experiments show that it is possible to use the proposed learning path to analyze student behavior patterns and recommend group formation with positive results.


Author(s):  
Peter Brusilovsky ◽  
Vincent P. Wade ◽  
Owen Conlan

This paper argues that a new generation of powerful E-learning systems could start on the crossroads of two emerging fields: courseware re-use and adaptive educational systems. We argue for a new distributed architecture for E-learning systems based on the idea of adaptive reusable content services. This paper discusses problems that have to be solved on the way to the new organization of E-learning and reviews existing approaches and tools that are paving the way to next generation E-learning systems. It also presents two pioneer systems - APeLS and KnowledgeTree that have attempted to develop a new service-based architecture for adaptive E-learning.


Author(s):  
George Pashev

Support for various aspects of personalization and adaptation of the reviewed tools is not at the desired level of abstraction - very often depends on the specific way in which it is assumed that a learning object will be combined, to build a learning path for going through an e-course, or to achieve learning goals. This document describes an innovative and more abstract model and related software system for adaptive e-learning. A software prototype for adaptive teaching of the disciplines "Mobile Applications" and "Programming applications for mobile devices", taught at Plovdiv University "Paisii Hilendarski” is presented. Objectives are discussed, based on an extensive overview in the field of adaptive e-learning systems and the software implementation of the e-learning tool is presented. Results of specific tests with study activities will be presented in future scientific publications.


Author(s):  
Phil Long ◽  
Frank Tansey

Specifications define the nature of the interconnections between the distinct parts of complex learning systems, but not their boundaries.  Next generation CMS tools are emerging from standards discussions that challenge current e-learning systems design boundaries. They raise the prospect of a complex but smoothly functioning set of components and services that aggregate in ways that best serve individual communities of users. Users need to engage in the process to express their requirements for e-learning software. These building blocks, produced by a small number of organizations, are establishing the framework that will enable CMS environments to become vastly different than the CMS you might now be using.


Author(s):  
Dieuwke Haan ◽  
Patrick Waterson ◽  
Sonja Trapp ◽  
Dietmar Pfahl

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