Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model

In this paper, we propose the E-Learning Web-based Design Model based on Web Service and Web 2.0 model, extending Moodle open software to construct additional supporting features of e-Learning system. The basic features of Moodle are adopted and extended to support advanced functions of the e-learni...

Full description

Saved in:
Bibliographic Details
Main Authors: Jarernsri L. Mitrpanont, Somchart Fugkeaw, Teerapat Pachimkul, Wudhichart Sawangphol
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/28973
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.28973
record_format dspace
spelling th-mahidol.289732018-09-24T16:46:34Z Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model Jarernsri L. Mitrpanont Somchart Fugkeaw Teerapat Pachimkul Wudhichart Sawangphol Mahidol University Computer Science Social Sciences In this paper, we propose the E-Learning Web-based Design Model based on Web Service and Web 2.0 model, extending Moodle open software to construct additional supporting features of e-Learning system. The basic features of Moodle are adopted and extended to support advanced functions of the e-learning. To this end, Web 2.0 renders social network features and provides a promising channel to students, instructors, and administrators. Therefore, the customized Moodle system and Web 2.0 E-learning are integrated to provide a more accessible and fine-grained design of E-Learning system. To handle the multiple users using several services, we apply agents system to serve the tasks of each service cooperatively. In addition, we accommodate user feedback management (UFM) function to improve the maintenance process and the functionality of e-Learning system by allowing users to propose any ideas about their view on the E-learning system they want via the social networking channel. To incorporate the feedback and requirements from users, such information is retained and analyzed to generate the recommendation profiles which will be used for further improvement of design and performance of the system. © 2010 IADIS. 2018-09-24T08:56:21Z 2018-09-24T08:56:21Z 2010-12-01 Conference Paper Proceedings of the IADIS International Conference e-Learning 2010, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010. Vol.2, (2010), 130-134 2-s2.0-79955141963 https://repository.li.mahidol.ac.th/handle/123456789/28973 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955141963&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Social Sciences
spellingShingle Computer Science
Social Sciences
Jarernsri L. Mitrpanont
Somchart Fugkeaw
Teerapat Pachimkul
Wudhichart Sawangphol
Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model
description In this paper, we propose the E-Learning Web-based Design Model based on Web Service and Web 2.0 model, extending Moodle open software to construct additional supporting features of e-Learning system. The basic features of Moodle are adopted and extended to support advanced functions of the e-learning. To this end, Web 2.0 renders social network features and provides a promising channel to students, instructors, and administrators. Therefore, the customized Moodle system and Web 2.0 E-learning are integrated to provide a more accessible and fine-grained design of E-Learning system. To handle the multiple users using several services, we apply agents system to serve the tasks of each service cooperatively. In addition, we accommodate user feedback management (UFM) function to improve the maintenance process and the functionality of e-Learning system by allowing users to propose any ideas about their view on the E-learning system they want via the social networking channel. To incorporate the feedback and requirements from users, such information is retained and analyzed to generate the recommendation profiles which will be used for further improvement of design and performance of the system. © 2010 IADIS.
author2 Mahidol University
author_facet Mahidol University
Jarernsri L. Mitrpanont
Somchart Fugkeaw
Teerapat Pachimkul
Wudhichart Sawangphol
format Conference or Workshop Item
author Jarernsri L. Mitrpanont
Somchart Fugkeaw
Teerapat Pachimkul
Wudhichart Sawangphol
author_sort Jarernsri L. Mitrpanont
title Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model
title_short Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model
title_full Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model
title_fullStr Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model
title_full_unstemmed Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model
title_sort designing intelligent web-based e-learning based on web 2.0 and agents-based model
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/28973
_version_ 1763488478751883264