Seminar and Training Programs Recommender System for Faculty Members of Higher Education Institution

  • Albert V. Paytaren College of Engineering and Computing Sciences, Batangas State University

Abstract

Purpose – This study aims to develop a personalized Recommender System that helps to address the problems encountered by the faculty members of Higher Education Institutions in the selection of Seminar and Training Programs (STP).

Method – The researcher used the Descriptive Developmental Method of research to gather information relevant to the current problems and challenges encountered and used these to develop software that addresses the identified challenges. For the development of the software, the researcher adopted a step-wise approach defined in the Incremental Developmental Model. The level of acceptance of the developed system was evaluated by 24 faculty respondents.

Results – The level of acceptance of the developed system was classified into functionality, reliability, and usability and the study garnered an evaluation score of 4.65, 4.67, and 4.67 respectively. The overall interpretation of the results of the evaluation is Highly Acceptable.

Conclusion – The study created a system that provides seminars and training program recommendations. The developed recommender system was rated Highly Acceptable, respondents were very satisfied with the features of the system and agreed that it was functional, reliable, and usable.

Recommendations – This study reiterates the incorporation of the Seminar and Training Programs Recommender System in the Higher Education Institution to address the issues and challenges encountered by the faculty member in the selection of STP.

Published
2020-07-07
How to Cite
PAYTAREN, Albert V.. Seminar and Training Programs Recommender System for Faculty Members of Higher Education Institution. International Journal of Computing Sciences Research, [S.l.], v. 4, n. 4, p. 359-369, july 2020. ISSN 2546-115X. Available at: <//www.stepacademic.net/ijcsr/article/view/140>. Date accessed: 29 oct. 2021.
Section
Articles