An Ontology-Based Learning System in IT Project Management

2011 ◽  
pp. 191-210
Keyword(s):  
Learning Objects ◽  
Learning System ◽  
Learning Tools ◽  
It Project Management ◽  
Knowledge Domain ◽  
Tutoring Systems ◽  
Learner Model ◽  
Future Developments ◽  
E Learning ◽  
Competency Based

The development process is based on the state of the art IT technologies (metadata and ontology for knowledge manipulation, Web services, learner model, and intelligent tutoring systems). Besides interoperability and personalization, the proposed approach brings additional advantages, including: unitary interpretation of the content structure by different user categories or content providers; explicit specification of the knowledge domain, allowing the updating of the domain definition without major changes of e-learning tools and programmes; reuse of the learning objects with economical advantages by saving costs of (re)writing the content for the different course forms and strategies; reuse of the created tools in one domain in other domains; promoting the competency-based learning through the domain ontology and the relations between concepts and competencies. The results obtained in practice are very encouraging and suggest several future developments.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

Future Developments of E-Modules

2013 ◽  
pp. 147-153
Author(s):  
Alina Christova
Keyword(s):  
Higher Education ◽  
European Union ◽  
Learning Tools ◽  
Transfer Of Knowledge ◽  
Content Structure ◽  
Knowledge And Skills ◽  
Future Developments ◽  
Learning Platform ◽  
Interactive Tools ◽  
E Learning

E-learning tools can be found on an occasional basis in higher education, in particular regarding social sciences. This paper concentrates on envisaged future developments of E-Modules, the innovative e-learning platform on European Union matters created by the Institute for European Studies, which is an autonomous department of the Free University Brussels. First, it provides an overview of the strategy and the concept of E-Modules as well as content, structure and main features of the e-learning tool including best practices and current challenges. The author also explores in depth the role interactive tools and multimedia can play in enhancing the transfer of knowledge and skills to the users of the E-Modules.

Securing the Infrastructure for Service-Based E-Learning Environments

2011 ◽  
pp. 1-24
Author(s):  
Simon Schwingel ◽  
Gottfried Vossen ◽  
Peter Westerkamp
Keyword(s):  
Web Services ◽  
Learning Environment ◽  
Learning Environments ◽  
User Authentication ◽  
Learning Objects ◽  
Learning System ◽  
Learning Material ◽  
Single Sign On ◽  
User Data ◽  
E Learning

E-learning environments and their system functionalities resemble one another to a large extent. Recent standardization efforts in e-learning concentrate on the reuse of learning material only, but not on the reuse of application or system functionalities. The LearnServe system, under development at the University of Muenster, builds on the assumption that a typical learning system is a collection of activities or processes that interact with learners and suitably chosen content, the latter in the form of learning objects. This enables us to divide the main functionality of an e-learning system into a number of stand-alone applications or services. The realization of these applications based on the emerging technical paradigm of Web services then renders a wide reuse of functionality possible, thereby giving learners a higher flexibility of choosing content and functionalities to be included in their learning environment. In such a scenario, it must be possible to maintain user identity and data across service and server boundaries. This chapter presents an architecture for implementing user authentication and the manipulation of user data across several Web services. In particular, it demonstrates how to exploit the SPML and SAML standards so that cross-domain single sign-on can be offered to the users of a service-based learning environment. The chapter also discusses how this is being integrated into LearnServe.

Future Developments of E-Modules

2011 ◽  
Vol 3 (1) ◽  
pp. 22-28
Author(s):  
Alina Christova
Keyword(s):  
Social Sciences ◽  
Best Practices ◽  
Learning Tools ◽  
Transfer Of Knowledge ◽  
Content Structure ◽  
Knowledge And Skills ◽  
Future Developments ◽  
Learning Platform ◽  
Interactive Tools ◽  
E Learning

E-learning tools can be found on an occasional basis in higher education, in particular regarding social sciences. This paper concentrates on envisaged future developments of E-Modules, the innovative e-learning platform on European Union matters created by the Institute for European Studies, which is an autonomous department of the Free University Brussels. First, it provides an overview of the strategy and the concept of E-Modules as well as content, structure and main features of the e-learning tool including best practices and current challenges. The author also explores in depth the role interactive tools and multimedia can play in enhancing the transfer of knowledge and skills to the users of the E-Modules.

Replicating Human Interaction to Support E-Learning

2006 ◽  
pp. 494-503
Author(s):  
William A. Janvier ◽  
Claude Ghaoui
Keyword(s):  
Learning Styles ◽  
Text Messaging ◽  
Learning Experience ◽  
Human Interaction ◽  
Learning Tools ◽  
Tutoring Systems ◽  
Language Patterns ◽  
E Learning ◽  
Communication Preference ◽  
The Way

HCI-related subjects need to be considered to make e-learning more effective; examples of such subjects are: psychology, sociology, cognitive science, ergonomics, computer science, software engineering, users, design, usability evaluation, learning styles, teaching styles, communication preference, personality types, and neuro-linguistic programming language patterns. This article discusses the way some components of HI can be introduced to increase the effectiveness of e-learning by using an intuitive interactive e-learning tool that incorporates communication preference (CP), specific learning styles (LS), neurolinguistic programming (NLP) language patterns, and subliminal text messaging. The article starts by looking at the current state of distance learning tools (DLTs), intelligent tutoring systems (ITS) and “the way we learn”. It then discusses HI and shows how this was implemented to enhance the learning experience.

Indexing Serious Games to Meet Adaptive E-Learning System Needs

2020 ◽  
pp. 284-303
Author(s):  
Yassine El Borji ◽  
Mohammed Khaldi
Keyword(s):  
Serious Games ◽  
Main Idea ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning System ◽  
The Other ◽  
E Learning ◽  
Technical Sense ◽  
Application Profile ◽  
Educational Field

This chapter aims to strengthen the integration of serious games in the educational field by providing tools to monitor and assist the progress of learners/players. The main idea is to address the integration aspects and the deployment of serious games in adaptive e-learning systems based on the automatic package and the export of serious games as reusable learning objects (LO). This integration will allow SGs to benefit from the tracking and support features offered by the LMS. On the other hand, LMS can supplement their training offer and reach a certain maturity. The approach aims to meet the specific needs of SGs in terms of metadata so that they can be described, indexed, and capitalized. This is a new application profile of the IEEE LOM standard entitled “SGLOM” integrating fields to describe SGs not only in a technical sense but also by examining the pedagogical and playful criteria. The authors also focus on the integration and extraction aspects of SGs in an LMS using the ADL SCORM 2004 data model that defines how content can be packaged as a SCORM PIF (package interchange file).

scholarly journals Increasing the Adaptivity of an Intelligent Tutoring System with Educational Data Mining: A System Overview

2016 ◽  
Vol 11 (03) ◽  
pp. 67 ◽  
Author(s):  
Igor Jugo ◽  
Božidar Kovačić ◽  
Vanja Slavuj
Keyword(s):  
Data Mining ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Educational Data Mining ◽  
Knowledge Domain ◽  
Systems Architecture ◽  
Tutoring Systems ◽  
E Learning ◽  
Mining Tools

Intelligent Tutoring Systems (ITSs) are inherently adaptive e-learning systems usually created for teaching well-defined domains (e.g., mathematics). Their objective is to guide the student towards a predefined goal such as completing a lesson, task, or mastering a skill. Defining goals and guiding students is more complex in ill-defined domains where the expert defines the model of the knowledge domain or the students have freedom to follow their own path through it. In this paper we present an overview of our systems architecture that integrates the ITS with data mining tools and performs a number of educational data mining processes to increase the adaptivity and, consequently, the efficiency of the ITS.

scholarly journals Challenges of Transitioning to e-learning System with Learning Objects Capabilities

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Miroslava Raspopovic ◽  
Svetlana Cvetanovic ◽  
Aleksandar Jankulovic
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Information Systems ◽  
Open Source ◽  
Learning Objects ◽  
Learning System ◽  
Learning Content ◽  
Technological Advances ◽  
E Learning ◽  
Transitional Challenges

<p>In order for higher education institutions, which implements blended and/or online learning to remain competitive and innovative it needs to keep up with the cutting edge technological and educational advances. This task is usually very difficult, keeping in mind the budget constraints that many institutions have. This usually implies that existing open source solutions have to be used and adapted to individual needs of each institution. Keeping up with the current technological advances often brings not only financial challenges, but also transitional challenges that may put at risk learning quality and reputation of the institution, as well as performance of students. This work describes the features of the system, results and challenges of transitioning to e-learning system that displays learning materials through sequence of reusable learning objects (LOs) from the system that does not have these capabilities. The goal of such system is to increase reusability of learning content, and moreover, to increase online interactivity and communication between the instructor and students. Findings of this work reveal advantages, disadvantages and potential obstacle of implementation e-learning system with LOs and give an overview of suggestions for implementation improvements. These suggestions are given based on evaluation of implementation of new e-learning system with LOs, after the transition from the traditional e-learning system. Furthermore, based on the research of existing methodologies in the field of information systems, and the results of this research, this work proposes methodology for transferring into e-learning system with LOs. </p>

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