EASElective : a chatbot for elective course selection

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Record Details

Record ID: stcompfyp:46
Title: EASElective : a chatbot for elective course selection
Type of Work: Final Year Project/Work
Collection: S&T Best Computing Projects
Contributor: Chan, Chun Ho (group member)
Lee, Ho Lam (group member)
Lo, Wing Kwan (group member)
Lui, Kwok Fai Andrew 呂國輝 (supervisor)
School / Unit: School of Science and Technology (S&T)
Program: Bachelor of Computing with Honours in Internet Technology
Date: 2018
Abstract: In this project, an educational chatbot for resolving the problem of providing elective course advising is proposed. The main objective of the project is to develop a chatbot application that can provide information and students’ opinions about the elective courses, and suggestions to the user through chatting.
Type of Resource: Mixed
Language: English
Physical Description: This work includes 1 PDF file and 1 video clip.
Awards: International Symposium on Educational Technology ISET (4th), 2018 (Kansai University ; City University of Hong Kong)
Notes: Published paper title : Developing a chatbot for college student programme advisement ; Team name : SleepyPecky
Keywords: universities and colleges - elective system; human-computer interaction; natural language processing (computer science); computational linguistics
Access Eligibility: Public Access
Permanent Link: https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:46

Object Details

Record ID: stcompfyp:47
Title: EASElective : a chatbot for elective course selection - PDF
Collection: S&T Best Computing Projects
Type of Resource: PDF
Physical Description: 2 pages.
Access Eligibility: Public Access
Permanent Link: https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:47