dc.contributor.author |
Srinivasan, D |
|
dc.contributor.author |
Uthayakumar, A |
|
dc.contributor.author |
Thiyagalingam, P |
|
dc.contributor.author |
Ravindran, S |
|
dc.contributor.author |
De Silva, H |
|
dc.contributor.author |
Kasthururarthna, D |
|
dc.contributor.editor |
Sumathipala, KASN |
|
dc.contributor.editor |
Ganegoda, GU |
|
dc.contributor.editor |
Piyathilake, ITS |
|
dc.contributor.editor |
Manawadu, IN |
|
dc.date.accessioned |
2023-09-05T03:51:55Z |
|
dc.date.available |
2023-09-05T03:51:55Z |
|
dc.date.issued |
2022-12 |
|
dc.identifier.citation |
***** |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/21365 |
|
dc.description.abstract |
Universities play a significant role in students’ lives and aim to provide the best
education, knowledge, and experience. However, university students face many difficulties
during their university life including language, communication issues, and the inability to get
proper guidance for education and career improvement. This paper proposes an approach to
overcome these issues. With the help of Natural Language Processing (NLP), in this paper,
several solutions are recommended for the mentioned issues. First, a chatbot helps to
communicate with the university administration, where students can ask relevant administrativerelated
questions. A recommendation system is developed to provide solutions for their
psychological issues. Another recommendation system is built for career guidance which will
help students to identify the future career of their interest, and the provided mentors will be able
to guide them. Another recommendation system identifies the performance of students in each
module according to their performance level. The system recommends learning materials to
improve their level. With these components, ESCORT – A university students’ guidance system,
will make students’ life easier and more efficient. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. |
en_US |
dc.relation.uri |
https://icitr.uom.lk/past-abstracts |
en_US |
dc.subject |
Natural language processing |
en_US |
dc.subject |
Administration |
en_US |
dc.subject |
Psychology |
en_US |
dc.subject |
Career guidance |
en_US |
dc.subject |
Performance level |
en_US |
dc.subject |
Pre-processing |
en_US |
dc.title |
Escort - natural language processing based university students guidance system |
en_US |
dc.type |
Conference-Abstract |
en_US |
dc.identifier.faculty |
IT |
en_US |
dc.identifier.department |
Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. |
en_US |
dc.identifier.year |
2022 |
en_US |
dc.identifier.conference |
7th International Conference in Information Technology Research 2022 |
en_US |
dc.identifier.place |
Moratuwa, Sri Lanka |
en_US |
dc.identifier.pgnos |
p. 53 |
en_US |
dc.identifier.proceeding |
Proceedings of the 7th International Conference in Information Technology Research 2022 |
en_US |
dc.identifier.email |
it19148632@my.sliit.lk |
en_US |
dc.identifier.email |
it19116952@my.sliit.lk |
en_US |
dc.identifier.email |
it19125176@my.sliit.lk |
en_US |
dc.identifier.email |
it19155708@my.sliit.lk |
en_US |
dc.identifier.email |
hansi.d@sliit.lk |
en_US |
dc.identifier.email |
hansi.d@sliit.lk |
en_US |