Specification and Generation of Learning Object Sequences for E-learning Using Sequence Feature Diagrams and Metaprogramming Techniques

2009 ◽  
Author(s):  
Robertas Damasevicius ◽  
Vytautas Stuikys
Keyword(s):  
Learning Object ◽  
Sequence Feature ◽  
E Learning

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

scholarly journals GLOSSÁRIO DINÂMICO DE LIBRAS PARA APOIO AO ENSINO NÃO PRESENCIAL

2014 ◽  
Vol 21 (1) ◽  
pp. 14
Author(s):  
Dayse Yanne Caldas Siqueira de Sousa ◽  
Alexandre César Muniz de Oliveira
Keyword(s):  
Learning Environment ◽  
Virtual Learning Environment ◽  
Learning Object ◽  
Deaf Students ◽  
Educación A Distancia ◽  
Large Growth ◽  
Entornos Virtuales De Aprendizaje ◽  
E Learning ◽  
Special Knowledge ◽  
Entornos Virtuales

Há grande crescimento na demanda por cursos não presenciais recentemente no país. Os cursos a distância têm alcançando um público bastante diversificado e sujeito a particularidades. Para diminuir as barreiras entre os alunos especiais surdos que desejam adquirir conhecimento nesta modalidadede ensino, desenvolveu-se um objeto de aprendizagem que, por meio de um glossário de LIBRAS, vem permitir uma maior integração dos surdos em ambientes virtuais de aprendizagem. O glossário permiteo cadastro de vídeos, a inserção de imagens e informações, tais como localidade de origem, categoriae descrição de como o sinal é realizado. O glossário tem um papel periférico no ambiente, mas permite que alunos surdos possam definir e redefinir significados para sinais, inclusive aqueles relacionados à disciplina objeto do estudo a distância.Palavras-chave: Acessibilidade. LIBRAS. SCORM. EAD. AVA. Moodle.DYNAMIC LIBRAS GLOSSARY FOR E-LEARNING SUPPORTABSTRACT: There is a large growth in demand for e-learning courses in the country recently. Those courseshave reached a very diversified audience, subject to individualities. To decrease the barriers among deaf students who wish to get special knowledge in that modality of learning, it was developed a learning object, that through a glossary of LIBRAS, may permit more accessibility of the deaf students in virtual learning environment. The glossary allows videos registration, inclusion of pictures and information, such as origin location, category and description of how the signal is done. The glossary has a peripheral role in the environment, however it permits that deaf students can define and redefine meanings to the signs, including those related to the chosen e-learning subject.KEYWORDS: Accessibility. LIBRAS. SCORM. D-Learning. VLE. Moodle.GLOSARIO DINÁMICO DE LIBRAS EN APOYO A LA EDUCACIÓN A DISTANCIARESUMEN: Hay un gran aumento de la demanda de cursos a distancia recientemente en el país, llegandoa una audiencia muy diversificada y sujeto a individualidades. Para reducir las barreras entre los estudiantes sordos que desean adquirir conocimientos en forma de educación a distancia se desarrolló un objeto de aprendizaje, que por medio de un glosario LIBRAS, permite una mayor integración entre los sordos en entornos virtuales de aprendizaje. El glosario permite la inclusión de videos, imágenes, informacionescomo el sitio de origen, clasificación y descripción de cómo son hechas las señales.PALABRAS CLAVE: LIBRAS. SCORM. EAD. EVA. Moodle.

Learning Object Evaluation

2010 ◽  
pp. 800-807
Author(s):  
Erla M. Morales ◽  
Francisco J. García ◽  
Ángela Barrón
Keyword(s):  
Knowledge Management ◽  
Academic Research ◽  
Learning Object ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
E Learning

One of the biggest challenges to knowledge management systems (KMS) is the great importance that many organizations have given to obtaining information rather than to its retrieval. As a result, users face the problem of having large quantities of information and many difficulties retrieving the information they really need. Through an e-learning repository we can find a myriad of content from academic research and contributions, but how to guarantee and manage their content’s quality?

Mobile Learning: An Application Prototype for AVL Tree Learning Object

2010 ◽  
Vol 39 ◽  
pp. 176-181 ◽  
Author(s):  
Noor Ibrahim Mohammad ◽  
Mahamad Saipunidzam ◽  
Chua Ning Wei Edrea
Keyword(s):  
Mobile Phone ◽  
Computer Science ◽  
Mobile Learning ◽  
Video Clip ◽  
Traditional Classroom ◽  
Learning Object ◽  
Delivery Methods ◽  
E Learning ◽  
Science Concepts ◽  
Avl Tree

The rapid growth of mobile phone technologies encourages many researchers to explore, design and develop mobile learning applications for tertiary students. In computer science related disciplines, students always find computer science concepts as complex, abstract, and esoteric subject. Hence, we have seen the number of students enrolled for computer science related programs has decreased lately. Current delivery methods for computer science concepts are found not to be interesting to the students. This project focuses on the design and development of an AVL tree learning object for tertiary students by utilizing current mobile phone features such as mobility, multimedia capability and connectivity. Our approach is to incorporate video clips in presenting the algorithm systematically. With this mobile learning application, student could learn at his or her own pace, anywhere anytime. This application intends to complement the current traditional classroom and e-learning systems. Initial testing has shown that a well-presented video clip of AVL tree concept that delivered through mobile phone has a great potential to promote and enhance learning process.

scholarly journals An Empirical Study of Students' Intention to Use Cloud E-Learning in Higher Education

2020 ◽  
Vol 15 (09) ◽  
pp. 19
Author(s):  
Lillian-Yee-Kiaw Wang ◽  
Sook-Ling Lew ◽  
Siong-Hoe Lau
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Social Cognitive ◽  
Target Population ◽  
Perceived Usefulness ◽  
Learning Object ◽  
Intention To Use ◽  
Is Success ◽  
Content Quality ◽  
E Learning

Technological progress has resulted in constant change of social structures and led to continuous evolution of attitudes and values. Thus, a timely and compre-hensive integrated technology acceptance framework was established, and factors predicting intention to use Cloud e-learning were empirically identified. A total of 11 determinants from varying sources of IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values were unified and analysed in an integrated manner. The target population for this study was a group of IT students in a private university in southern region Malaysia. The results obtained from this study observed that content quality, pedagogical quality, perceived usefulness, social influence, attainment value, and utility value significantly predict intention to use Cloud e-learning. By integrating IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values into a single framework, new insights on Cloud e-learning ac-ceptance in higher education can be attained.

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