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Register: Jurnal Ilmiah Teknologi Sistem Informasi
ISSN : 25030477     EISSN : 25023357     DOI : https://doi.org/10.26594/register
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Register: Scientific Journals of Information System Technology is an international, peer-reviewed journal that publishes the latest research results in Information and Communication Technology (ICT). The journal covers a wide range of topics, including Enterprise Systems, Information Systems Management, Data Acquisition and Information Dissemination, Data Engineering and Business Intelligence, and IT Infrastructure and Security. The journal has been indexed on Scopus (reputated international indexed) and accredited with grade “SINTA 1” by the Director Decree (1438/E5/DT.05.00/2024) as a recognition of its excellent quality in management and publication for international indexed journal.
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Articles 1 Documents
Search results for , issue "vol 12 no 2 (2026): july (in progress)" : 1 Documents clear
Enhancing Online Learning: Integrating Social Interaction Dimension into The Felder Silverman Learning Style Model Supangat Supangat; Mohd Zainuri Bin Saringat
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 12 No 2 (2026): July (In Progress)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v12i2.3922

Abstract

This study aims to investigate the impact of enhancing Felder Silverman Learning Style Model (FSLSM) by integrating social interaction on student learning per-formance. A mixed methods was performed to analyze the usage to 400 data col-lected in Indonesia. The findings show that social interaction play significant roles on the enhancing FSLSM. Interestingly, the social interaction dimension that are not considered in the FSLSM, does act as the influencer. This study high-lights the combination of FSLSM and social interaction dimension can create a comprehensive description of students learning styles which has an impact on student’s learning performance which increased by 4.5%. The study suggested that online learning platform should have features that can retain comprehensive and personalized learning experiences, which may create a better online learning platform and positively affect users’ learning performance.

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