Web 3.0 is an evolving extension of the current web environme bnt. Information in web 3.0 can be
collaborated and communicated when queried. Web 3.0 architecture provides an excellent learning
experience to the students. Web 3.0 is 3D, media centric and semantic. Web based learning has been on
high in recent days. Web 3.0 has intelligent agents as tutors to collect and disseminate the answers to the
queries by the students. Completely Interactive learner’s query determine the customization of the
intelligent tutor. This paper analyses the Web 3.0 learning environment attributes. A Maximum spanning
tree model for the personalized web based collaborative learning is designed.
%0 Journal Article
%1 noauthororeditor
%A S.Padma,
%A Seshasaayee, Dr. Ananthi
%D 2011
%J International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
%K 3.0 Collaborative E Maximum Semantic Spanning Tree Web learning
%N 5
%P 51-61
%R 10.5121/ijcseit.2011.1505
%T Maximum Spanning Tree Model on Personalized Web Based Collaborative Learning in Web 3.0
%U http://airccse.org/journal/ijcseit/papers/1211ijcseit05.pdf
%V 1
%X Web 3.0 is an evolving extension of the current web environme bnt. Information in web 3.0 can be
collaborated and communicated when queried. Web 3.0 architecture provides an excellent learning
experience to the students. Web 3.0 is 3D, media centric and semantic. Web based learning has been on
high in recent days. Web 3.0 has intelligent agents as tutors to collect and disseminate the answers to the
queries by the students. Completely Interactive learner’s query determine the customization of the
intelligent tutor. This paper analyses the Web 3.0 learning environment attributes. A Maximum spanning
tree model for the personalized web based collaborative learning is designed.
@article{noauthororeditor,
abstract = {Web 3.0 is an evolving extension of the current web environme bnt. Information in web 3.0 can be
collaborated and communicated when queried. Web 3.0 architecture provides an excellent learning
experience to the students. Web 3.0 is 3D, media centric and semantic. Web based learning has been on
high in recent days. Web 3.0 has intelligent agents as tutors to collect and disseminate the answers to the
queries by the students. Completely Interactive learner’s query determine the customization of the
intelligent tutor. This paper analyses the Web 3.0 learning environment attributes. A Maximum spanning
tree model for the personalized web based collaborative learning is designed.
},
added-at = {2018-09-27T06:59:14.000+0200},
author = {S.Padma and Seshasaayee, Dr. Ananthi},
biburl = {https://www.bibsonomy.org/bibtex/226e8f63c6b6037c05deb714065b62548/ijcseit},
doi = {10.5121/ijcseit.2011.1505},
interhash = {8a170b2b8b5d315e7c65d20e9b3c9994},
intrahash = {26e8f63c6b6037c05deb714065b62548},
issn = {2231-3117 [Online] ; 2231-3605 [Print]},
journal = {International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)},
keywords = {3.0 Collaborative E Maximum Semantic Spanning Tree Web learning},
language = {English},
month = dec,
number = 5,
pages = {51-61},
timestamp = {2019-08-20T12:26:51.000+0200},
title = {Maximum Spanning Tree Model on Personalized Web Based Collaborative Learning in Web 3.0 },
url = {http://airccse.org/journal/ijcseit/papers/1211ijcseit05.pdf},
volume = 1,
year = 2011
}