Development of an intelligent academic supporting tool
Academic supporting tool is defi ned as an educational development services which is developed as a guide to universi ties and colleges in order to support and help in academic progress. In this th esis, two academic supporting tools; e.g., an electronic notification system, and an...
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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, UNIMAS
2009
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/6510/1/DEVELOPMENT%20OF%20AN%20INTELLIGENT%20ACADEMIC%20SUPPORTING%20TOOL%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/6510/8/Liew%20Hui%20Chang.pdf http://ir.unimas.my/id/eprint/6510/ |
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| Summary: | Academic supporting tool is defi
ned as an educational
development services
which is developed as a guide to universi
ties and colleges in order to support and
help in academic progress. In this th
esis, two academic supporting tools; e.g., an
electronic notification system, and an
Evolving Tree (ETree) based automated
documents clustering system are deve
loped, and evaluated. The electronic
notification system with S
hort Message Service (SMS) technology is developed to
facilitate the communication
among lecturers and students.
It can be viewed as a
mobile, efficient and environment-friendl
y communication platform among lecturers
and students. It allows latest news, gene
ral notices, instant cla
ss cancellation alerts
and etc. to be deliv
ered to students in
stantly, through SMS.
The electronic
notification system is developed using Visual Basic language. Practicality of the
developed system is further evaluated with
the help of a lecturer in UNIMAS.
Positive results are obtained. The ETree based automated documents clustering
system is developed to allow conference
papers to be clustered, organized and
visualized based on their abstract similarit
y. Classification of
conference papers is
always a tedious, time-consuming and e
xpensive task, to be carried out by
experience academicians. The developed sy
stem is a decision supporting tool for
conference organizers and technical committees. It eases the task of classification of
conference papers. With re
gards to the study of neural
network, ETree is proposed
as an improvement of Self Organizing Map
(SOM). As compared with conventional
SOM, ETree does not require map size to be predetermined. From literature, the use
of SOM in document clustering, organizati
on and visualization problems has been widely reported. However, from literature
review, the main application of ETree
centered at image processing, and no re
port on the use of ETree in document
clustering, organization and visu
alization problems have be
en found. To some extent,
this piece of work can be viewed as an
earlier investigation on the use ETree for
document classification problems. The ETree based automated documents
clustering system is evaluated with in
formation from Engineering Conference
(ENCON) 2008. Correctness of the clustering
result is further evaluated with the
help of a Technical Committee from ENCO
N 2008. Experiments show that it is a
potential system, and positive results are obtained. |
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