Learning Object Model for Online Laboratories

2011 ◽  
pp. 768-784 ◽  
Author(s):  
Habib Mir M. Hosseini ◽  
Keck Voon Ling ◽  
Bing Duan
Keyword(s):  
Learning Objects ◽  
Learning Systems ◽  
Learning Object ◽  
Object Model ◽  
Web Based ◽  
Course Content ◽  
Online Laboratories ◽  
E Learning ◽  
Text Images ◽  
Learning Concept

Online learning environments provide the students access to the course content at any time and from anywhere. Most of the existing e-Learning systems are designed for content-based subjects that deliver course content such as text, images, video, audio, and simulation to the student through the Internet. In recent years, several online or remote laboratories have been developed to bring the e-Learning concept to the lab-based courses. These systems, mainly web-based, allow students to conduct real laboratory experiment, as opposed to computer simulations, from anywhere and at any time. In this chapter, we introduce a model for providing lab-based lessons as Learning Objects. The Learning Object model has been widely used in content-based e-Learning systems. We then propose a learning management system framework which helps students to remotely access the lab-based learning objects. We will also present some experimental results and implementations.

Learning Object Model for Online Laboratories

2011 ◽  
pp. 514-527
Author(s):  
Habib Mir M. Hosseini ◽  
Keck Voon Ling ◽  
Bing Duan
Keyword(s):  
Learning Objects ◽  
Learning Systems ◽  
Learning Object ◽  
Object Model ◽  
Web Based ◽  
Course Content ◽  
Online Laboratories ◽  
E Learning ◽  
Text Images ◽  
Learning Concept

Online learning environments provide the students access to the course content at any time and from anywhere. Most of the existing e-Learning systems are designed for content-based subjects that deliver course content such as text, images, video, audio, and simulation to the student through the Internet. In recent years, several online or remote laboratories have been developed to bring the e-Learning concept to the lab-based courses. These systems, mainly web-based, allow students to conduct real laboratory experiment, as opposed to computer simulations, from anywhere and at any time. In this chapter, we introduce a model for providing lab-based lessons as Learning Objects. The Learning Object model has been widely used in content-based e-Learning systems. We then propose a learning management system framework which helps students to remotely access the lab-based learning objects. We will also present some experimental results and implementations.

scholarly journals HyCo – An Authoring Tool to Create Semantic Learning Objects for Web-Based E-learning Systems

2004 ◽  
pp. 344-348 ◽  
Author(s):  
Francisco J. García ◽  
Adriana J. Berlanga ◽  
Maria N. Moreno ◽  
Javier García ◽  
Jorge Carabias
Keyword(s):  
Learning Objects ◽  
Learning Systems ◽  
Authoring Tool ◽  
Web Based ◽  
Semantic Learning ◽  
E Learning

Ontologies in Intelligent Learning Systems

2012 ◽  
pp. 31-48
Author(s):  
Boryana Deliyska ◽  
Peter Manoilov
Keyword(s):  
Semantic Web ◽  
Learning Process ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning Object ◽  
Structural Learning ◽  
Principal Role ◽  
Web Resources ◽  
Human Tutor ◽  
E Learning

The intelligent learning systems provide a direct customized instruction to the learners without intervention of human tutor on the base of Semantic Web resources. The principal role ontologies play in these systems is as an instrument for modeling learning process, learner, learning objects, and resources. In the chapter, a variety of relationships and conceptualizations of ontologies used in the intelligent learning systems are investigated. The utilization of domain and application ontologies in learning object building and knowledge acquisition is represented. The conceptualization of domain ontologies in e-learning is presented by the upper levels of its taxonomies. Moreover, a method and an algorithm intended for generation of application ontologies of structural learning objects (curriculum, syllabus, topic plan, etc.) are developed. Examples of curriculum and syllabus application ontologies are given. Further these application ontologies are used for structural learning object generation.

A Low-Cost Learning Object Repository for Egyptian Teachers

2013 ◽  
pp. 307-321
Author(s):  
Alaa Sadik
Keyword(s):  
Low Cost ◽  
Learning Objects ◽  
Learning Object ◽  
Web Based ◽  
Learning Programs ◽  
E Learning ◽  
Learning Object Repository ◽  
User Groups ◽  
Arabic Speaking ◽  
Quality Learning

Within the last five years, governments and education authorities worldwide have developed and implemented approaches to facilitate access to a wide range of quality digital resources and reduce the costs of production. This chapter reports on a study which invited school teachers and university academics in Egypt, as a developing and Arabic-speaking country, to cooperate in establishing a learning object repository to store, locate, and share quality learning objects for class teaching and e-learning programs. The proposed solution is originally a vendor hosted web-based groupware, file management, and sharing system that meets the basic criteria of instructional learning object repositories called eStudio. Motivators and inhibitors to using the repository, factors that determine locating, using, and sharing learning objects within the repository and their qualities are assessed to help in developing repositories that demonstrate an understanding of the existing needs and the work practices of Egyptian teachers and other user groups.

Automatic Learning Object Selection and Sequencing in Web0Based Intelligent Learning Systems

2006 ◽  
pp. 56-71 ◽  
Author(s):  
Pythagoras Karampiperis ◽  
Demetrios Sampson
Keyword(s):  
Adaptive Learning ◽  
Learning Objects ◽  
Learning Preferences ◽  
Learning Systems ◽  
Learning Object ◽  
Small Scale ◽  
Automatic Learning ◽  
Web Based ◽  
Object Selection ◽  
Adaptive Learning Systems

Automatic courseware authoring is recognized as among the most interesting research questions in intelligent Web-based education. Automatic courseware authoring is the process of automatic learning object selection and sequencing. In most intelligent learning systems that incorporate course sequencing techniques, learning object selection and sequencing are based on a set of teaching rules according to the cognitive style or learning preferences of the learners. In spite of the fact that most of these rules are generic (i.e., domain independent), there are no well-defined and commonly accepted rules on how the learning objects should be selected and how they should be sequenced to make “instructional sense.” Moreover, in order to design adaptive learning systems, a huge set of rules is required, since dependencies between educational characteristics of learning objects and learners are rather complex. In this chapter, we address the learning object selection and sequencing problem in intelligent learning systems proposing a methodology that, instead of forcing an instructional designer to manually define the set of selection and sequencing rules, produces a decision model that mimics the way the designer decides, based on the observation of the designer’s reaction over a small-scale learning object selection case.

Customisation and the Interprofessional Application of E-Learning Objects

2010 ◽  
pp. 275-285
Author(s):  
Helen M. Lynch ◽  
Kerry Trabinger
Keyword(s):  
Learning Objects ◽  
Training System ◽  
Learning Object ◽  
Vocational Education And Training ◽  
Web Based ◽  
Learning Contexts ◽  
E Learning ◽  
Learning Object Repository ◽  
Tools And Techniques ◽  
And Training

Toolbox learning objects are a class of pedagogically rich, sophisticated e-learning objects created for the Australian vocational education and training system (VET). Their richness makes them very attractive to teachers and trainers working across a range of learning contexts but at the same time makes them difficult to reuse. While these e-learning objects have been designed to be customised and are often repurposed for use within one vocational context, an approach is emerging that sees them increasingly customised for reuse across a range of intervocational or interprofessional contexts. This chapter describes this approach, focusing on the tools and techniques of customisation, and presents a model of reuse that can be implemented elsewhere with any pedagogically rich web based e-learning object in intervocational and interprofessional settings. Toolbox learning objects are freely available to anyone with internet access from the Toolbox Learning Object Repository website. The Repository is fully searchable and objects can be previewed from the Repository website and downloaded without charge for educational use. This chapter will be of value to teachers, trainers and academics who are exploring the reuse of pedagogically rich web based e-learning resources for interprofessional or intervocational education.

Ontologies and Contracts in the Automation of Learning Object Management Systems

2006 ◽  
pp. 216-234
Author(s):  
Salvador Sanchez-Alonso ◽  
Miguel-Ángel Sicilia ◽  
Elena Garcia-Barriocanal
Keyword(s):  
Learning Objects ◽  
Learning Systems ◽  
Learning Object ◽  
Management Systems ◽  
Shared Knowledge ◽  
Knowledge Representations ◽  
Learning Object Metadata ◽  
E Learning ◽  
Contractual Approach ◽  
Enhanced Learning

Current standardized e-learning systems are centred on the concept of learning object. Unfortunately, specifications and standards in the field do not provide details about the use of well-known knowledge representations for the sake of automating some processes, like selection and composition of learning objects, or adaptation to the user or platform. Precise usage specifications for ontologies in e-learning would foster automation in learning systems, but this requires concrete, machine-oriented interpretations for metadata elements. This chapter focuses on ontologies as shared knowledge representations that can be used to obtain enhanced learning object metadata records in order to enable automated or semi-automated consistent processes inside Learning Management Systems. In particular, two efforts towards enhancing automation are presented: a contractual approach based on pre- and post-conditions, and the so-called process semantic conformance profiles.

scholarly journals The Integrated Environment for Learning Objects Design and Storing in Semantic Web

2018 ◽  
Vol 13 (1) ◽  
pp. 39
Author(s):  
Valentina Dagiene ◽  
Daina Gudoniene ◽  
Reda Bartkute
Keyword(s):  
Semantic Web ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning Object ◽  
Learning Methods ◽  
Integrated Learning Systems ◽  
Integrated Environment ◽  
E Learning ◽  
Learning Object Repositories ◽  
Effective Design

There is a variety of tools and environments for Learning Objects (LOs) design and delivery as well as learning object repositories (LOR) but the researchers could not find a repository that includes both functions: creation and storing of LOs. A number of different integrated learning systems are suggested for users that demonstrate the variety of e-learning methods and semantic capabilities. LO repository oer.ndma.lt/lor, that we are going to present, is very friendly and interoperable to use and assure LO design, search in semantic web, adaptation of the re-used objects and storing. There are no more existing LO repositories with the functionality presented by researchers. Transformation of closed education into open one without existence of well-structured, multifunctional and integrated environment becomes problematic. Authors will present an integrated environment for the LO design, search in semantic web, adaptation and storing of newly designed or re-designed LO. Measures will support the transformation of closed education into open and will assure effective design, re-usability and adaptation of LO in the integrated environment.

scholarly journals Creating an Advanced Web Based Environment using Semantic Web

2017 ◽  
pp. 38-44 ◽  
Author(s):  
Panchajanyeswari M Achar
Keyword(s):  
Learning Environment ◽  
Learning Objects ◽  
Learning Systems ◽  
Personalized Recommendation ◽  
Learning Material ◽  
Web Based ◽  
Learning Content ◽  
User Query ◽  
E Learning ◽  
Learner Profile

E-learning systems are of no help to the users if there are no powerful search engines and browsing tools to assist them. Most of the current web-based learning systems are closed systems where the courses and the learning material are fixed. The only thing that is dynamic is that the organization of the learning content is adapted to allow individualized learning environment. The learners of web-based e-learning systems belong to different categories based on their skills, background, preferences and learning styles. This paper focuses on personalized semantic search and recommending learning content that are appropriate to the learning environment. The semantic and personalized search of the learning content is based on comparison of the learner profile. The learner profile depends on re individual learning style of the user and learning objects’ metadata. This concept needs to be represented both in the learner profile as well as learning object description as certain data structures. Personalized recommendation of learning objects uses an approach to determine a more suitable relationship between learning objects and learning profiles. Thus, it may advise a learner with most suitable learning objects. Semantic learning objects search is based on the query expansion of the user query and by using the semantic similarity to retrieve semantic matched learning objects.

Evaluasi Aksesibilitas Learning Object Berdasarkan Web Content Accessibility Guidelines 2.0

2017 ◽  
Vol 9 (2) ◽  
pp. 67-71
Author(s):  
Herru Darmadi ◽  
Yan Fi ◽  
Hady Pranoto
Keyword(s):  
Learning Objects ◽  
Authoring Tool ◽  
Learning Object ◽  
Web Content ◽  
Web Browser ◽  
E Learning ◽  
Index Terms ◽  
Accessibility Guidelines ◽  
Content Accessibility

Learning Object (LO) is a representation of interactive content that are used to enrich e-learning activities. The goals of this case study were to evaluate accessibility and compatibility factors from learning objects that were produced by using BINUS E-learning Authoring Tool. Data were compiled by using experiment to 30 learning objects by using stratified random sampling from seven faculties in undergraduate program. Data were analyzed using accessibility and compatibility tests based on Web Content Accessibility Guidelines 2.0 Level A. Results of the analysis for accessibility and compatibility tests of Learning Objects was 90% better than average. The result shows that learning objects is fully compatible with major web browser. This paper also presents five accessibility problems found during the test and provide recommendation to overcome the related problems. It can be concluded that the learning objects that were produced using BINUS E-learning Authoring Tool have a high compatibility, with minor accessibility problems. Learning objects with a good accessibility and compatibility will be beneficial to all learner with or without disabilities during their learning process. Index Terms—accessibility, compatibility, HTML, learning object, WCAG2.0, web

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