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

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.

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Learning Object Model for Online Laboratories

Handbook of Research on Instructional Systems and Technology ◽

10.4018/978-1-59904-865-9.ch055 ◽

2011 ◽

pp. 768-784 ◽

Cited By ~ 1

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.

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Creating an Advanced Web Based Environment using Semantic Web

International Journal of Management, Technology, and Social Sciences ◽

10.47992/ijmts.2581.6012.0015 ◽

2017 ◽

pp. 38-44 ◽

Cited By ~ 1

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.

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Evaluasi Aksesibilitas Learning Object Berdasarkan Web Content Accessibility Guidelines 2.0

Jurnal ULTIMATICS ◽

10.31937/ti.v9i2.602 ◽

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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An Access Control Scheme for Web-Based E-Learning Systems

2006 7th International Conference on Information Technology Based Higher Education and Training ◽

10.1109/ithet.2006.339796 ◽

2006 ◽

Cited By ~ 1

Author(s):

Harris Wang

Keyword(s):

Access Control ◽

Learning Systems ◽

Web Based ◽

Control Scheme ◽

E Learning

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INTELLIGENT VOICE-BASED E-EDUCATION SYSTEM: A FRAMEWORK AND EVALUATION

International Journal of Computing ◽

10.47839/ijc.9.4.726 ◽

2010 ◽

pp. 327-334

Author(s):

Ambrose Azeta ◽

Charles K. Ayo ◽

Aderemi Aaron Anthony Atayero ◽

Nicholas Ikhu-Omoregbe

Keyword(s):

Education System ◽

User Satisfaction ◽

Visually Impaired ◽

Learning Objects ◽

Usability Study ◽

Web Based ◽

System A ◽

Autonomous Decision ◽

E Learning ◽

Phone Access

Voice-based web e-Education is a technology-supported learning paradigm that allows phone-access of learners to e-Learning web-based applications. These applications are designed mainly for the visually impaired. They are however lacking in attributes of adaptive and reusable learning objects, which are emerging requirements for applications in these domain. This paper presents a framework for developing intelligent voice-based applications in the context of e-Education. The framework presented supports intelligent components such as adaptation and recommendation services. A prototype Intelligent Voice-based E-Education System (iVEES) was developed and subjected to test by visually impaired users. A usability study was carried out using the International Standard Organization’s (ISO) 9241-11 specification to determine the level of effectiveness, efficiency and user satisfaction. Report of our findings shows that the application is of immense benefit, based on the system’s inherent capacity for taking autonomous decision that are capable of adapting to users’ requests.

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Technological Evaluation and Optimization of E-Learning Systems Components

E-Infrastructures and Technologies for Lifelong Learning ◽

10.4018/978-1-61520-983-5.ch006 ◽

2011 ◽

pp. 150-173 ◽

Cited By ~ 1

Author(s):

Eugenijus Kurilovas ◽

Valentina Dagiene

Keyword(s):

Quality Evaluation ◽

Evaluation Criteria ◽

Learning Objects ◽

Learning Systems ◽

Main Research ◽

Evaluation Models ◽

E Learning ◽

Multiple Criteria Evaluation ◽

Technological Evaluation ◽

Learning Software

The main research objective of the chapter is to provide an analysis of the technological quality evaluation models and make a proposal for a method suitable for the multiple criteria evaluation (decision making) and optimization of the components of e-learning systems (i.e. learning software), including Learning Objects, Learning Object Repositories, and Virtual Learning Environments. Both the learning software ‘internal quality’ and ‘quality in use’ technological evaluation criteria are analyzed in the chapter and are incorporated into comprehensive quality evaluation models. The learning software quality evaluation criteria are further investigated in terms of their optimal parameters, and an additive utility function based on experts’ judgements, including multicriteria evaluation, numerical ratings, and weights, is applied to optimize the learning software according to particular learners’ needs.

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A Highly Scalable, Modular Architecture for Computer Aided Assessment e-Learning Systems

Distance Education Environments and Emerging Software Systems ◽

10.4018/978-1-60960-539-1.ch004 ◽

2011 ◽

pp. 45-63 ◽

Cited By ~ 3

Author(s):

Krzysztof Gierlowski ◽

Krzysztof Nowicki

Keyword(s):

Distribution Systems ◽

Learning Systems ◽

Skill Assessment ◽

Knowledge Assessment ◽

Great Success ◽

Production Environment ◽

Modular Architecture ◽

Web Based ◽

Assessment Tasks ◽

E Learning

In this chapter, the authors propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. The authors’ research proved that such architecture, while well suited for didactic content distribution systems is ill-suited for knowledge assessment products. In their design, they employed loosely-tied distributed system architecture, strict modularity, test and simulation-based knowledge and skill assessment and an our original communications package called Communication Abstraction Layer (ComAL), specifically designed to support communication functions of e-learning systems in diverse network conditions (including offline environment and content aware networks).The system was tested in production environment on Faculty of Electronics, Telecommunications and Informatics, Technical University of Gdansk with great success, reducing staff workload and increasing efficiency of didactic process. The tests also showed system’s versatility in classroom, remote and blended learning environments.

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