Abstract
In improving the quality of education by teaching, it is the thing that has the greatest effectiveness. Because of a good and appropriate teaching method, it is likely to increase the absorption of knowledge for students, so that the quality of knowledge from students increases. There are several ways to improve the quality of teaching, one of which is to know the learning styles of these students. Methods to determine learning styles such as Visual Auditorial Kinesthetic (VAK), Learning Style Inventory, Myers-Briggs Type Indicator (MBTI) and others, but in this study using the Learning Style Inventory (LSI) introduced by David Kolb. To see the Learning Style of each student, an online questionnaire was held. Respondents in this study were online students of the Mohammad Husni Thamrin University Informatics Engineering Study Program with 50 students as respondents. By using the Linear Regression model, it shows a significance value of 0.02 which is less than 5%, so the analysis can be continued. On the other hand, the results are based on the value of R Square, which is 0.099 or 0.1, where it is the Coefficient of Determination or it can be interpreted that the LSI Value Variable has the ability to influence 10% of the Student Value Variable.
Highlights
Perkembangan pendidikan dan teknologi informasi pada saat ini sangat dibutuhkan untuk memecahkan masalah dalam mencerdaskan kehidupan manusia
likely to increase the absorption of knowledge for students
several ways to improve the quality of teaching
Summary
Perkembangan pendidikan dan teknologi informasi pada saat ini sangat dibutuhkan untuk memecahkan masalah dalam mencerdaskan kehidupan manusia. LSI itu sendiri memiliki beberapa tipe kategori, namun pada penelitian ini kami akan menggunakan tipe kategori yang ditemukan oleh david kolb dimana diantaranya adalah diverging, assimilating, coverging dan accomodating LSI Kolbs Penelitian ini pada awal nya akan membuat aplikasi Kusioner Learning Style Inventory berbasis web sebagai sarana untuk menyediakan form input data kuisioner yang akan di isi oleh mahasiswa (dalam penelitian ini responden). Untuk model yang digunakan dengan menggunakan LR (Linear Regression) untuk mengukur apakah hasilnya memiliki perberdaan yang signifikansi antara data kuisioner dalam hal ini disebut dataset LSI dengan nilai akademis mahasiswa. Dari hasil kuisioner dan olah data nanti akan merekomendasikan gaya mengajar apa yang sesuai dengan gaya belajar mahasiswa online learning pada mahasiswa Universitas Mohammad Husni Thamrin.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
