scholarly journals Learning Objects in Online Education: A Systemic Approach

2020 ◽  
Vol 3 (2) ◽  
pp. 142
Author(s):  
Gerardo Quiroz Vieyra ◽  
Luis Fernando Muñoz González
Keyword(s):  
Online Education ◽  
Curriculum Design ◽  
Learning Objects ◽  
Learning System ◽  
Systemic Approach ◽  
Quality Model ◽  
Digital Repositories ◽  
E Learning ◽  
Teaching Learning ◽  
Bloom Taxonomy

In the construction of learning objects, as digital instructional material that is delivered to students, the level of learning to which they are directed must be considered first of all, according to the Bloom taxonomy or any other that is used, applicable to the e-learning, taking advantage of the digital resources that are currently available, multimedia for creation, digital repositories for storage and internet for access. Learning objects are built with pedagogical and technological elements that follow a process in themselves, subject to an educational model, instructional design, curriculum design and learning objectives as precedents, with stages very similar to those of design, construction and operation of an information system. Given their nature of digital entities, learning capsules that contain information and knowledge, the Data Quality Model of the ISO / IEC 25012: 2008 standard is also applicable, which guarantees the quality of the content and their access and availability. The creation of learning objects must also obey an educational strategy and be considered holistically in the e-learning system, that is, use a systemic approach throughout the teaching-learning process, including learning objects, considering harmonization , performance and quality in all its stages.

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.

Learning objects management and evaluatio in an e-learning environment

1970 ◽  
Vol 6 (2) ◽  
Author(s):  
Hugo Rego ◽  
Tiago Moreira ◽  
Francisco José García-Peñalvo
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Group Learning ◽  
Learning Objects ◽  
Authoring Tools ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning ◽  
Educational Contents

The main aim of the AHKME e-learning platform is to provide a system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in the platform, giving them meaning. In this platform, metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The learning objects management and evaluation play an important role in order to get the best results in the teaching/learning process.

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.

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.

Successful Online Teaching and Learning Strategies

2009 ◽  
pp. 110-123
Author(s):  
Mary D. Oriol ◽  
Gail Tumulty
Keyword(s):  
Online Education ◽  
Learning Environment ◽  
Learning Strategies ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Nursing Program ◽  
Clear Understanding ◽  
Positive Learning Environment ◽  
E Learning ◽  
Teaching Learning

This chapter presents a theoretical framework and research base for the successful transition of an established Master of Science in Nursing program from that of traditional classroom delivery to one that is Web-based with no geographic limitations to students. The application of socio-technical systems theory to facilitate creation of a positive learning environment for future nurse leaders is described. Use of social processes and application of technology to optimize learning is explained and the latest research on content presentation and student engagement in an e-learning environment are presented. The authors hope that through examination of successful online teaching/learning strategies, readers will have a clear understanding of the competencies necessary for students and faculty to be successful in online education.

Towards a Personalized E-Learning System

2011 ◽  
pp. 2124-2134
Author(s):  
Elvis Wai Chung Leung ◽  
Qing Li
Keyword(s):  
Online Education ◽  
Economic Benefit ◽  
Learning System ◽  
Development Cost ◽  
Web Based ◽  
Course Materials ◽  
Web Based Learning ◽  
Interactive Environment ◽  
E Learning ◽  
The Web

To cope with the increasing trend of learning demand and limited resources, most universities are taking advantage of Web-based technology for their distance education or e-learning (Montelpare & Williams, 2000). One of the reasons is due to the significant price drop of personal computers in recent decades; the Internet and multimedia have penetrated into most households. Moreover, most students prefer to learn from an interactive environment through a self-paced style. Under the Web-based learning model, students can learn anytime, anywhere because they are not required to go to school on schedule (Appelt, 1997). Meanwhile, universities also enjoy the economic benefit due to the large student base that can share the development cost of course materials and other operational expenses. Gradually, more and more universities follow this similar way to provide online education.

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).

Understanding the Continued Usage Intention of Educators toward an e-Learning System

2011 ◽  
Vol 3 (2) ◽  
pp. 54-69 ◽  
Author(s):  
A.K.M. Najmul Islam
Keyword(s):  
Behavioral Control ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Behavioral Control ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
E Learning ◽  
Faculty Educators ◽  
Teaching Learning

The tremendous development of technologies over recent decades has offered many e-learning systems to faculty educators to support teaching. The advantage of using such systems in connection with on-site courses is that it increases flexibility in teaching/learning by making resources available online. However, there is little empirical evidence to suggest which factors shape educators’ continuance intention to use such systems. This study builds a model, based on the Unified Theory of Acceptance and Use of Technology to identify the factors. The model was tested among university educators who use the popular e-learning system, Moodle. The results suggest that the continuance intention is driven by perceived usefulness and access. Perceived ease of use, perceived behavioral control, compatibility, and social influence do not have a significant direct impact on continuance intention, although perceived ease of use and compatibility significantly affect perceived usefulness. Taken together, the core determinants of the continuance intention explained around 70% of the total variance in intention in this study.

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