Expert System for University Program Recommendation

Chin Poo Lee, Zhong Bo Ng, Yong Ee Low, Kian Ming Lim

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Deciding on the most suitable university program to pursue after completing secondary education is a major step for school-leavers as it sets the tone of the career path they will embark on in the future. Undeniably, deciding on the university program is a sophisticated problem that involves a broad range of factors, such as geographic location, overall cost, campus security, personality, etc. Most of these factors, for instance, geographic location and campus security only have temporary impact on the school-leavers while they are attending to university. Nevertheless, the personality factor appears to be the long-term and the most crucial determinant of the success in their professional life. When choosing the university program, school-leavers often make the mistake of following friends' footsteps or adhering to parents' decisions, only to realize years later that it is not what suits their personality or what they want. Considering these challenges, this work studies on the Holland's Personality Test to examine the personality of school-leavers. There are six personality types in Holland's Personality Test, represented as RIASEC code or Holland code. On top of that, this work also compiles a comprehensive list of university programs with their corresponding Holland code. An expert system is then engineered to encode the information into the knowledge base. Upon taking the Holland Personality Test, the expert system will update the facts list based on the answers given. Subsequently, the inference engine activates the production rules if the conditions are fulfilled. Ultimately, the personality type and recommended university program are presented to the school-leavers.

Original languageEnglish
Title of host publicationIEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728169460
DOIs
Publication statusPublished - 26 Sept 2020
Externally publishedYes
Event2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020 - Kota Kinabalu, Sabah, Malaysia
Duration: 26 Sept 202027 Sept 2020

Publication series

NameIEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020

Conference

Conference2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020
Country/TerritoryMalaysia
CityKota Kinabalu, Sabah
Period26/09/2027/09/20

Keywords

  • expert system
  • university program recommender

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems and Management
  • Instrumentation

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