The IntelCities Community of Practice

2010 ◽  
pp. 263-284 ◽  
Author(s):  
Mark Deakin
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Community Of Practice ◽  
Digital Library ◽  
Integrated Model ◽  
Knowledge Management System ◽  
Learning Platform ◽  
Front End ◽  
E Learning ◽  
Back Office

The chapter examines the IntelCities Community of Practice (CoP) supporting the development of the organization’s e-Learning platform, knowledge management system (KMS) and digital library for eGov services. It begins by outlining the IntelCities CoP and goes on to set out the integrated model of electronically enhanced government (eGov) services developed by the CoP to meet the front-end needs, middleware requirements and back-office commitments of the IntelCities e-Learning platform, KMS and digital library. The chapter goes on to examine the information technology (IT) adopted by the CoP to develop the IntelCities e-Learning platform, KMS and digital library as a set of semanticallyinteroperable eGov services supporting the crime, safety and security initiatives of socially-inclusive and participatory urban regeneration programs.

The IntelCities Community of Practice

2009 ◽  
pp. 83-104 ◽  
Author(s):  
Mark Deakin
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Community Of Practice ◽  
Digital Library ◽  
Integrated Model ◽  
Knowledge Management System ◽  
Learning Platform ◽  
Front End ◽  
E Learning ◽  
Back Office

The chapter examines the IntelCities Community of Practice (CoP) supporting the development of the organization’s e-Learning platform, knowledge management system (KMS) and digital library for eGov services. It begins by outlining the IntelCities CoP and goes on to set out the integrated model of electronically enhanced government (eGov) services developed by the CoP to meet the front-end needs, middleware requirements and back-office commitments of the IntelCities e-Learning platform, KMS and digital library. The chapter goes on to examine the information technology (IT) adopted by the CoP to develop the IntelCities e-Learning platform, KMS and digital library as a set of semanticallyinteroperable eGov services supporting the crime, safety and security initiatives of socially-inclusive and participatory urban regeneration programs.

Model Knowledge Management System Konseling Mahasiswa Berbasis Cloud Computing

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 138-148
Author(s):  
H. Abdul Hamid Arribathi ◽  
Dedeh Supriyanti ◽  
Lusyani Sunarya
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Knowledge Management ◽  
Management System ◽  
Positive Impact ◽  
Professional Staff ◽  
Knowledge Management System ◽  
Literature Study ◽  
Student Counseling ◽  
The World

Information technology is increasingly developing and has a positive impact on the world of education. The implementation of student counseling with a Knowledge Management System is one of the contributions of information technology in the world of education. Many benefits provided by the Student Counseling Knowledge Management System, in managing the knowledge needed by the counselor section to document student consultations. The development and implementation of a KMS counseling system costs more to employ professional staff to maintain and improve; KMS student counseling application; For this reason, it is necessary to design a Cloud Computing-based Student Counseling Knowledge Management System. The research method carried out in the first stage is to collect data and information about Knowledge Management and Student Counseling, and how to use it to create a Knowledge Management System Application, Student Counseling Based on cloud computing. Furthermore, conducting a literature study and literature review, system design is in the form of data architecture compounding, process design, network design, and user interface design. The design results of this system can facilitate educational institutions in conducting online cloud computing-based student counseling

Analisis Pembangunan Sistem Informasi Pengelolaan Lingkungan Bebas Sampah Terintegrasi di Wilayah Pariwisata Indonesia

2018 ◽  
Vol 8 (2) ◽  
pp. 54-61
Author(s):  
Leonardi Paris Hasugian ◽  
Sintya Sukarta ◽  
Raden Fenny Syafariani
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Management System ◽  
Visual Communication ◽  
Knowledge Management System ◽  
Communication Media ◽  
Tourism Destination ◽  
Technology Knowledge ◽  
Index Terms

Cleanliness is one of many other indicator that have to be held by a tourism destination. It mean that the tourism destination should be clean from garbage or any other dirty things. Indonesia is a tourism destination that have been known as a beautiful and humble country to be visited. As a tourism country, Indonesia should also give a big concern to the cleanliness issue. Various criticisms and suggestions always delivered to the manager or government of the tourist sites, but the response from them was null. There have to be a research to find out what is the root of the environment cleanliness problem and which part of the improvement that was missed. This study covers how to integrate all the stakeholder by using Information Technology in order to address the environment cleanliness issue. Existing policy established will be the basis for analyzing, designing, implementing, and evaluating a product in addressing the issues of garbage. The research is developed under the PEST and SWOT method, and using the Knowledge Management System. Visual Communication Media is a product that was built to help people in controlling the outstanding garbage. Information technology is built to become a medium in managing information related to garbage problems. Meanwhile, Counseling and Socializing is held to provide learning of the importance in maintaining hygiene. The integration of these things is monitored and evaluated to obtain a comprehensive improvement. Index Terms—Cleanliness, Information Technology, Knowledge Management System.

Prospects & Challenges of Implementing Knowledge Management System in IT Industry

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Syed Mubashir Ali ◽  
Asim Iftikhar
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Information Sources ◽  
Knowledge Management System ◽  
Management Systems ◽  
Future Research ◽  
Recent Past ◽  
It Industry ◽  
Strategic Information ◽  
Strategic Information Systems

Recent past has seen an epidemic growth in the adoption of strategic information systems. In order to be successful, enterprises are putting in huge investments into implementation of information technology (IT) and knowledge management systems (KMS). KMS implementation in an IT industry has been discussed in this paper. Several challenges including multiple information sources, access control, and employee’s mistrust among others are being identified along with their possible solutions. Later foreseen benefits of KMS implementation including quicker problem identification, faster response time, and cost saving among others are being highlighted. The paper concludes with revealing future research possibilities.

Learning objects management and evaluatio in an e-learning environment

1970 ◽  
Vol 6 (2) ◽  
Author(s):  
Hugo Rego ◽  
Tiago Moreira ◽  
Francisco José García-Peñalvo
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Group Learning ◽  
Learning Objects ◽  
Authoring Tools ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning ◽  
Educational Contents

The main aim of the AHKME e-learning platform is to provide a system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in the platform, giving them meaning. In this platform, metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The learning objects management and evaluation play an important role in order to get the best results in the teaching/learning process.

Bringing AI to E-Learning

2012 ◽  
pp. 126-138
Author(s):  
K. Giotopoulos ◽  
C. Alexakos ◽  
G. Beligiannis ◽  
A. Stefani
Keyword(s):  
Learning Environment ◽  
Computational Intelligence ◽  
Intelligent Agents ◽  
Student Model ◽  
Basic Part ◽  
Learning Platform ◽  
Front End ◽  
E Learning ◽  
Autonomous Component

This paper presents a newly developed student model agent, which is the basic part of an e-learning environment that incorporates Intelligent Agents and Computational Intelligence Techniques. The e-learning environment consists of three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. The basic aim of this contribution is to describe in detail the agent’s architecture and the innovative features it provides to the e-learning environment through its utilization as an autonomous component. Several basic processes and techniques are facilitated through the agent in order to provide intelligence to the e-learning environment.

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