Web based student training system with skillset recommendation

Muhammad, Nurul Zulaikha and Sedek, Khairul Anwar (2023) Web based student training system with skillset recommendation. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 159-160. ISBN 978-629-97440-5-4

Abstract

This project aims to develop a web-based student training system with skillset recommendation to address employers' concerns about the lack of skills among graduates. Many university graduates struggle to meet job requirements or lack awareness of the skills needed for their desired careers. The project's objectives are to identify requirements and techniques for an effective system and create a web application that fulfills these needs. The waterfall model is chosen for the project's development, consisting of five phases: requirement, design, implementation, testing, and maintenance. Functionality testing and User Acceptance Testing (UAT) are conducted to evaluate the system's usability and functionality. The web-based student training system successfully meets all criteria and accomplishes the project's goals of providing skillset recommendations to students. By utilizing this system, students can receive personalized skill recommendations and enhance their employability. The project's outcome contributes to closing the skills gap and helping students succeed in their careers. The web application effectively achieves its purpose and provides valuable guidance to students seeking skill development opportunities.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Muhammad, Nurul Zulaikha
UNSPECIFIED
Sedek, Khairul Anwar
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 159-160
Keywords: Student training system, Skillset recommendation, Employers' concerns, Web application, Skills gap
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138873
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