M-Learning through Semantically Annotated Learning Objects and Ontologies

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Reshmy Krishnan
Keyword(s):  
Semantic Web ◽  
Learning Process ◽  
Rapid Development ◽  
Learning Objects ◽  
Learning System ◽  
Learning Object ◽  
Mobile Technologies ◽  
Rich Medium ◽  
Object Structure ◽  
E Learning

Number of mobile subscriptions has increased tremendously due to rapid development of mobile technologies. The performance and accessibility of the e-learning process can be enhanced through mobile devices which is called m-learning. M-learning makes learning resources available anywhere and anytime, provide strong search capabilities, and offers easy interaction features to the learners. M-learning also points the opportunity for interoperability than existing e-learning system. The integration of semantic web in m-learning can improve the efficiency of searching for learning objects and reduce the time and cost of learning process. Semantic web can be integrated with the help of ontologies and learning objects in semantic web. They offer rich medium to assist m-learning via semantic annotated learning objects and shared repositories. Two types of ontologies, such as learning object content ontology and learning object structure ontology are used in this system. These ontologies facilitate the reuse, sharing and retrieval of relevant learning objects which are the backbone of m-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.

scholarly journals Design of an Adaptive e-Learning System based on Multi-Agent Approach and Reinforcement Learning

2021 ◽  
Vol 11 (1) ◽  
pp. 6637-6644
Author(s):  
H. El Fazazi ◽  
M. Elgarej ◽  
M. Qbadou ◽  
K. Mansouri
Keyword(s):  
Reinforcement Learning ◽  
Learning Style ◽  
Learning Process ◽  
Learning Experience ◽  
Personalized Learning ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning System ◽  
E Learning ◽  
Multi Agent

Adaptive e-learning systems are created to facilitate the learning process. These systems are able to suggest the student the most suitable pedagogical strategy and to extract the information and characteristics of the learners. A multi-agent system is a collection of organized and independent agents that communicate with each other to resolve a problem or complete a well-defined objective. These agents are always in communication and they can be homogeneous or heterogeneous and may or may not have common objectives. The application of the multi-agent approach in adaptive e-learning systems can enhance the learning process quality by customizing the contents to students’ needs. The agents in these systems collaborate to provide a personalized learning experience. In this paper, a design of an adaptative e-learning system based on a multi-agent approach and reinforcement learning is presented. The main objective of this system is the recommendation to the students of a learning path that meets their characteristics and preferences using the Q-learning algorithm. The proposed system is focused on three principal characteristics, the learning style according to the Felder-Silverman learning style model, the knowledge level, and the student's possible disabilities. Three types of disabilities were taken into account, namely hearing impairments, visual impairments, and dyslexia. The system will be able to provide the students with a sequence of learning objects that matches their profiles for a personalized learning experience.

scholarly journals Peranan e-Learning dalam Peningkatan Minat dan Proses Pembelajaran Bahasa Mandarin: Studi Kasus Mahasiswa Sastra China Universitas Bina Nusantara

2007 ◽  
Vol 1 (2) ◽  
pp. 157
Author(s):  
Henny Lim
Keyword(s):  
Learning Process ◽  
Teaching And Learning ◽  
Rapid Development ◽  
Chinese Language ◽  
Learning System ◽  
Language Data ◽  
E Learning ◽  
Teaching Learning

Bina Nusantara University is a university with a rapid development of its e-learning system in the teaching-learning process and Chinese Department is one department using the e-learning system. This research was done to find out the role e-learning in improving the students’ interest in studying Chinese language. Data were collected by interviewing lecturers and distributing questionnaires to 120 students. Then, the data were tabulated and analysed. The result of the research shows that the respondents are familiar with Binusmaya – the e-learning system used – but they seldom use it because they do not think of its benefit. Thus, it can be concluded that Binusmaya does not both support the students of the Chinese Department in the teaching and learning process and in improving the students’ interest. 

scholarly journals Perancangan Web Design Aplikasi E-Learning dengan Metode Prototype pada Tingkat SMA

2021 ◽  
pp. 13-18
Author(s):  
Frederica Rosabel Ramli ◽  
Fikri Hakim ◽  
Ria Anggelina Hutabarat
Keyword(s):  
Online Learning ◽  
Learning Process ◽  
Teaching And Learning ◽  
Negative Impact ◽  
Human Life ◽  
Rapid Development ◽  
Web Design ◽  
Learning System ◽  
Technological Developments ◽  
E Learning

Technology has experienced very rapid development at this time and has brought changes and has a positive and negative impact on human life. One of the fields currently contaminated by technological developments is the field of education, especially in Indonesia, where at first the learning system was still manual-based and is currently developing into an online learning system. It is clear that various levels of schools and universities have used technology to support their learning process and apply it. One of the uses of technology in the field of education is learning management systems (NGOs) such as e-learning. The use of e-learning as a learning medium has a function to improve the quality of student learning and help improve student understanding in learning. However, there are still many schools that have not implemented e-learning in their teaching and learning process, such as high school (SMA). Therefore, the design of this e-learning application web design is expected to help several schools that require an online learning system that is user friendly so that schools can be better prepared to follow current development trends.

scholarly journals Next-Generation Programming Learning Platform: Architecture and Challenges

2020 ◽  
Vol 77 ◽  
pp. 01004
Author(s):  
Yutaka Watanobe ◽  
Chowdhury Intisar ◽  
Ruth Cortez ◽  
Alexander Vazhenin
Keyword(s):  
Rapid Development ◽  
Learning Objects ◽  
Learning System ◽  
Intelligent Software ◽  
Learning Platform ◽  
Intelligent Software Agents ◽  
Generic Architecture ◽  
E Learning ◽  
Potential Benefits ◽  
Education Platform

With the rapid development of information technology, programming has become a vital skill. An online judge system can be used as a programming education platform, where the daily activities of users and judges are used to generate useful learning objects (e.g., tasks, solution codes, evaluations). Intelligent software agents can utilize such objects to create an ecosystem. To implement such an ecosystem, a generic architecture that covers the whole lifecycle of data on the platform and the functionalities of an e-learning system should take into account the particularities of the online judge system. In this paper, an architecture that implements such an ecosystem based on an online judge system is proposed. The potential benefits and research challenges are discussed.

Building Interoperable Learning Objects Using Reduced Learning Object Metadata

2005 ◽  
Vol 2 (3) ◽  
pp. 299-313
Author(s):  
Mostafa S. Saleh
Keyword(s):  
Semantic Web ◽  
Learning Community ◽  
Learning Objects ◽  
Web Technology ◽  
Learning Object ◽  
Learning Standards ◽  
Semantic Web Technology ◽  
Learning Object Metadata ◽  
E Learning ◽  
Learning Object Repositories

The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards to describe these objects in order to support interoperability. IEEE Learning Object Metadata (LOM) is the most dominant standard for describing learning objects, in which 76 different elements are used to describe the different aspects of e-learning. Nonetheless, it will still be time consuming to build these learning objects. This paper introduces a model for building Global Interoperable Learning Objects (GILO) for the e-learning community. This is achieved by using a reduced set of the LOM elements, and giving a unique global ID to the learning object. This will enable software agents to query these learning object repositories, to automatically deliver the required material to the e-learning consumer.

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 Relevant Influence of Semantic Web Framework on Smart E-Learning Environment

2021 ◽  
Vol 16 (17) ◽  
pp. 177
Author(s):  
Subhabrata Sengupta ◽  
Anish Banerjee ◽  
Satyajit Chakrabarti
Keyword(s):  
Online Learning ◽  
Semantic Web ◽  
Learning Objects ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Educational Management ◽  
Learning Framework ◽  
Self Organized ◽  
E Learning ◽  
Efficient Learning

E-Learning systems have unbound prospects to deliver unmatched effective learning services and feedback assistance than what it is presently offering through mediums like online tutoring, or other electronic educational management services. Different stages and application potentials of Semantic Web technology and it’s architecture can be applied at different sectors and phases of the E-Learning framework to amplify the quality and versatility of services. Features of Semantic Web have been explored in the sectors with respect to instructors to plan, analyse and execute their tasks and also in making a sustainable system that interprets the structure of distributed, self organized, and self-instructed online learning to monitor it’s influence on performance. The main objective of this work is to study how electronic and online learning frameworks can be improved and enhanced by the influence of semantic web technologies in understanding and simplifying concept clarification and description, reusable learning objects (LOs), and benefits of the applying ontology in describing the learning materials for a better and more efficient learning system.

Discovery Mechanism for Learning Semantic Web Service

Web Services ◽  
2019 ◽  
pp. 575-596
Author(s):  
Chaker Ben Mahmoud ◽  
Ikbel Azaiez ◽  
Fathia Bettahar ◽  
Faiez Gargouri
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Learning Style ◽  
Learning Objects ◽  
Learning Object ◽  
Traditional Learning ◽  
Semantic Web Service ◽  
Learning Intention ◽  
Learning Path ◽  
E Learning

Nowadays, e-learning offers advantages over traditional learning in terms of independence. Moreover, adaptive e-learning systems take into account learner's profile, such as learning style and level of knowledge, in order to provide the most appropriate learning object. However, the essential challenge is finding and identifying the learning objects from a big corpus while ensuring their independence in different contexts. To overcome these problems of interoperability and accessibility of learning objects, the authors proposed to define a learning semantic Web service for each learning object. This service is an extension of OWLS that encompasses the description of the learning intention and the use of context that characterize a learning object. In this paper, the authors propose a new discovery mechanism based on learning intention and context use guided by the learner's intention and profile in order to offer a personalized learning path. Experimental results prove the efficiency of the proposed approach and approve its notable contribution.

Discovery Mechanism for Learning Semantic Web Service

2016 ◽  
Vol 12 (1) ◽  
pp. 23-43 ◽  
Author(s):  
Chaker Ben Mahmoud ◽  
Ikbel Azaiez ◽  
Fathia Bettahar ◽  
Faiez Gargouri
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Learning Style ◽  
Learning Objects ◽  
Learning Object ◽  
Traditional Learning ◽  
Semantic Web Service ◽  
Learning Intention ◽  
Learning Path ◽  
E Learning

Nowadays, e-learning offers advantages over traditional learning in terms of independence. Moreover, adaptive e-learning systems take into account learner's profile, such as learning style and level of knowledge, in order to provide the most appropriate learning object. However, the essential challenge is finding and identifying the learning objects from a big corpus while ensuring their independence in different contexts. To overcome these problems of interoperability and accessibility of learning objects, the authors proposed to define a learning semantic Web service for each learning object. This service is an extension of OWLS that encompasses the description of the learning intention and the use of context that characterize a learning object. In this paper, the authors propose a new discovery mechanism based on learning intention and context use guided by the learner's intention and profile in order to offer a personalized learning path. Experimental results prove the efficiency of the proposed approach and approve its notable contribution.

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