scholarly journals Knowledge management methods in next-generation E/U Learning systems

2015 ◽  
Vol 3 (4) ◽  
pp. 352-360
Author(s):  
Александр Бождай ◽  
Aleksandr Bozhday ◽  
Александр Бершадский ◽  
Aleksandr Bershadskiy ◽  
Вардан Мкртчан ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Software Agents ◽  
Learning Systems ◽  
Structural Basis ◽  
Product Lines ◽  
Intelligent Software ◽  
Service Oriented ◽  
E Learning ◽  
Intellectual Environment ◽  
Variability Model

The article discusses the methods of knowledge management for E/U-Learning systems, which will provide the opportunities for the construction of a unified all-pervasive electronic educational environment. Authors analyze the development of a new phase of e-learning (E-Learning 3.0) in which will play an important role distributed computer systems, cloud computing, mobile personal devices and wireless networks, artificial intelligence and virtual reality tools. Today, there is a fundamental scientific problem of creating a unified interstate intellectual environment for e-education services. This environment should include heterogeneous forms of knowledge representation, interstate standards and forms of learning, international faculty and student teams. The article suggests a possible knowledge management methods and the approach to the construction of an all-pervading intellectual environment for e-learning services. The proposed approach is based on the integration of multiple technologies, such as: service-oriented design, engineering of DSPL (Dynamic Software Product Lines), wireless telecommunications, interaction of intelligent e-learning agents. Structural basis of this approach is interconnected pair of intelligent software agents: student’s and teacher’s software agents. These agents are able to adapt itself: to the current level of student’s knowledge; to the available software, hardware and network equipment; to the current demands of the environment (e.g. labor markets); to the modern educational standards. As a basis of software agents self-adaptation is a mathematical variability model, including the three basic features hierarchy: educational content, interface, software and technical support. Application of such variability model does not require recompilation of the source code (to make changes in the agents properties) and allows to organize a continuous process of e-learning and significantly increase the life cycle of the entire system of distance learning. Moreover, the authors propose a service-oriented scheme for knowledge flows management. The article will be useful for experts in e-learning, developers of service-oriented systems and for managers in the field of socio-economic systems.

Enhancing the management of unstructured data in e-learning systems using MongoDB

2015 ◽  
Vol 49 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Milorad Pantelija Stevic ◽  
Branko Milosavljevic ◽  
Branko Rade Perisic
Keyword(s):  
Service Oriented Architecture ◽  
Structured Data ◽  
Learning Systems ◽  
Unstructured Data ◽  
Development Effort ◽  
Content Type ◽  
Learning Platform ◽  
Service Oriented ◽  
E Learning ◽  
Learning Platforms

Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implications – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. Practical implications – This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. Originality/value – It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.

Mobile Workforce Management in a Service-Oriented Enterprise

2009 ◽  
pp. 283-302
Author(s):  
Dickson K.W. Chiu ◽  
S.C. Cheun ◽  
Ho-Fung Leung
Keyword(s):  
Domain Knowledge ◽  
Software Agents ◽  
Mobile Technologies ◽  
Workforce Management ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Service Oriented ◽  
Business Functions ◽  
Telecommunication Enterprise ◽  
Phased Development

In a service-oriented enterprise, the professional workforce such as salespersons and support staff tends to be mobile with the recent advances in mobile technologies. There are increasing demands for the support of mobile workforce management (MWM) across multiple platforms in order to integrate the disparate business functions of the mobile professional workforce and management with a unified infrastructure, together with the provision of personalized assistance and automation. Typically, MWM involves tight collaboration, negotiation, and sophisticated business-domain knowledge, and thus can be facilitated with the use of intelligent software agents. As mobile devices become more powerful, intelligent software agents can now be deployed on these devices and hence are also subject to mobility. Therefore, a multiagent information-system (MAIS) infrastructure provides a suitable paradigm to capture the concepts and requirements of an MWM as well as a phased development and deployment. In this book chapter, we illustrate our approach with a case study at a large telecommunication enterprise. We show how to formulate a scalable, flexible, and intelligent MAIS with agent clusters. Each agent cluster comprises several types of agents to achieve the goal of each phase of the workforce-management process, namely, task formulation, matchmaking, brokering, commuting, and service.

scholarly journals Toward a Personalized Learning Path through a Services-Oriented Approach

2019 ◽  
Vol 14 (15) ◽  
pp. 52
Author(s):  
Mohamed Bendahmane ◽  
Brahim El Falaki ◽  
Mohammed Benattou
Keyword(s):  
Information Technologies ◽  
Service Oriented Architecture ◽  
Learning Systems ◽  
Individualized Learning ◽  
Learning Path ◽  
New Information ◽  
Service Oriented ◽  
E Learning ◽  
Learner Profile ◽  
Competency Based

In most existing E-learning systems, activities' content and order are presented in a static manner without taking into consideration the learners characteristics, profiles or competencies. The challenge is to adapt and regulate learning processes according to the learner profile by applying learning models that use new information technologies. There are several adaptation approaches of E-learning environments, such as, adaptive hypermedia system, semantic web, etc. In our proposed system, we adopted a Competency Based Approach to offer each learner an individualized learning path for the acquisition of the competence targeted on the basis of the collaborative filtering. Concerning the technological aspect, the system is implemented as a web services while adhering to a service-oriented architecture. This allows interoperability with heterogeneous learning systems

Building Socially-Aware E-Learning Systems Through Knowledge Management

2012 ◽  
Vol 8 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Richa Sharma ◽  
Hema Banati ◽  
Punam Bedi
Keyword(s):  
Knowledge Management ◽  
Social Context ◽  
Analytic Hierarchy Process ◽  
Programming Languages ◽  
Learning Organizations ◽  
Learning Systems ◽  
Analytic Hierarchy ◽  
E Learning ◽  
Hierarchy Process

Conformance to social context while designing an e-learning course is crucial in enhancing acceptability of the course. Building socially aware e-learning courses requires elicitation of social opinion from various stakeholders associated with the system. Stakeholders are disparate in their perception towards the intricacies of the system, leading to generation of numerous assorted ideas. Knowledge Management (KM) assimilates these ideas to bring congruency into the system. This paper proposes i) a model KMeLS (Knowledge Management in e-Learning Systems) built upon the SECI (Socialization, Externalization, Combination and Internalization) framework, and ii) an algorithm PARSeL (Prioritizing Alternatives using Recommendations of Stakeholders in e-Learning) to incorporate KM into designing an e-learning course. PARSeL prioritizes the content using stakeholder recommendations using Analytic Hierarchy Process (AHP) and fuzzy modeling. A case study is also presented with a goal of prioritizing a set of programming languages for an online computing course. The proposed methodology can be promising in recommending appropriate content for the e-learners and can be implemented to benefit e-learning organizations in a wider spectrum.

scholarly journals Integration of Knowledge Management and E- Learning Technologies in Academic Institutions

2020 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Sefiu Taiwo Oloruntoyin
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Real World ◽  
Learning Technologies ◽  
Learning Systems ◽  
Academic Institutions ◽  
Management Technology ◽  
Efficiency And Effectiveness ◽  
E Learning

This work investigates the integration of e-Learning systems and knowledge management technology to improve, capture, organize and deliver large amounts of knowledge. First, a model is proposed for the phases of knowledge management. The model is then enhanced with concepts and technology from e-Learning. The model is then used to illustrate real world scenarios that add increasing amounts of knowledge management to an e-Learning environment. The system, AMID promises high interactivity, efficiency and effectiveness of integration of knowledge management and e-learning. In addition, the developed system will enhance technical learning process.

scholarly journals Secured SO a for Interoperable e-Learning Platforms Based on Encryption Algorithms

2018 ◽  
Vol 7 (2.32) ◽  
pp. 336
Author(s):  
G Vijaya lakshmi ◽  
G Dinesh kumar ◽  
M V.Sai Lohith ◽  
Y Akhil Reddy
Keyword(s):  
Experimental Analysis ◽  
Service Oriented Architecture ◽  
Traditional Education ◽  
Learning Systems ◽  
The Other ◽  
Reference Architecture ◽  
Service Oriented ◽  
E Learning ◽  
Learning Platforms ◽  
Encryption Algorithms

The Lionization of distance education is cake walking on day basis and is the most tendered process to obtain the information in any field. Compared to the traditional education it is providing many facilities in various aspects. As the improvements are rapid in this area, the requirements are also cake walking. A Service Oriented Architecture addresses issue by designing the views of reference architecture from the contents of various domains. It personalizes the delivery of e-content based on knowledge and preference of the learner. As the information provided in the e-learning systems is to be made secure along with the user information a specific security system is to be designed by using the concepts of system security. For this various algorithms such as Triple DES, RSA, AES are taken in to consideration as an experimental analysis. Only the authorized person can utilize the content without interfered by the other user. By the analysis experimentally AES is showing highest accuracy among all the algorithms.  

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