Learning Style Analysis Based on Felder-Silverman Index Model Using Rule Base Algorithm
Abstract
Understanding everyone’s unique learning style is key to achieving lasting academic success. The importance of this understanding becomes increasingly important, especially when students are not aware of effective learning strategies, which can inadvertently become an obstacle to their progress. To overcome this concern, the Learning Style Analysis System (SAGP) was developed to identify and provide recommendations based on individual learning styles. The main users of this system are students enrolled and the academic advisors in the faculty of defense science and technology. They were required to fill out a questionnaire on their learning style. This system can determine the student's learning style and provide recommendations tailored to their needs. This process benefits students and strengthens the relationship between educators and students, ensuring a more individual or personal approach to learning. The system is developed using the PHP and CSS programming languages, with XAMPP and MySQL serving as the database that stores the necessary information. The Rule Base algorithm is used to classify students based on their learning style characteristics. The Agile approach is used as a development methodology, emphasizing adaptability and continuous delivery. Felder-Silverman Index learning method will be used as a learning style method in this system. The method will contain 44 questions based on four different domains of learning styles. Overall, the Learning Style Analysis System implementation is expected to positively contribute to the quality of teaching and learning at the university by aligning teaching approaches to individual learning styles. This will hopefully result in improved academic performance and increased student engagement in the learning process. Initially, a survey was conducted to assess the need for such a system to be in place. The survey had the majority saying that there is a need for such a system in UPNM.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Muhammad Nurhakim, Suhaila Ismail, Nurhafizah Moziyana Mohd Yusop, Siti Rohaidah Ahmad
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors of MJII retain copyright to the content of the articles.
The content is published under the Creative Commons Attribution (CC BY) 4.0 which allows content to be copied, adapted, displayed, distributed, republished, or otherwise re-used for any purpose, including for adaptation and commercial use provided the content is attributed without any restriction.
Authors Rights
The Journal grants you the following non-exclusive rights, subject to giving propoer acknowledgement to the original journal. The authors may:
(i) to reprint or reproduce the contribution, in whole or in part, in any publication of your interest.
(ii) to use material for teaching purposes; including availability of the matarial in academic course.
(iii) to post a copy of the contribution on your personal or institutional web server, provided that the server is non-commercial and there are no charges for access, and
(iv) to deposit a copy of the contribution in a non-commercial data repository maintained by an institution of which you are a member.
Author's Agreement
Author(s) guarantee the journal the following:
(i) that the contribution is their original work;
(ii) that it contains, no matter what, content that is defamatory or is otherwise unlawful or which invades rights of privacy or publicity or infringes any proprietary rights (including copyright);
(iii) that the contribution has not been published elsewhere in whole or in part and that no agreement to publish is outstanding other than this agreement. Author(s) agree to be responsible and hold the journal, its editors, staff and affiliate organizations harmless against any claims arising from or related to the breach or inaccuracy of any of the guarantees listed above.
Disclaimer
The editorial team of the MJII and the publication team of Academica Press Solutions share no responsibility regarding the views and opinions expressed by the authors.
The content published in MJII is Open Access and can be shared, adapted, reproduced, reprinted, after appropriate acknowledgment and giving due credit to the author(s) work.
