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Journal : Journal of Educational Studies

Implementation Of Deep Learning As An Adaptive Learning Approach For Students With Diverse Learning Styles At SD-IT Ass-Shiddiqin Suharyani, Suharyani; Festy Maharani, Jessica; Triwahyuni, Triwahyuni; Dwi Wardani, Sugita
Journal of Educational Studies Vol. 4 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/jes.v4i1.2715

Abstract

This study examines the effectiveness of deep learning as an adaptive learning method for elementary students with diverse learning styles at SD-IT Ass-Shiddiqin. It is based on the challenge that students exhibit varied learning preferences—visual, auditory, reading/writing, kinesthetic, and multimodal—requiring more personalized instructional approaches. Deep learning, as part of artificial intelligence, enables real-time analysis of student interaction data to identify learning patterns that are difficult to detect manually. This capability allows the system to deliver learning materials tailored to individual student needs. The research employed a quasi-experimental design using a non-equivalent control group approach. Two classes were involved: an experimental group that used deep learning-based adaptive learning and a control group that applied conventional methods. Instruments included a VARK questionnaire to identify learning styles, pre-tests and post-tests to measure learning outcomes, as well as observation and documentation. Data analysis involved tests of normality, homogeneity, t-test, and ANOVA.The findings revealed a significant improvement in the experimental group’s academic performance. Post-test scores increased markedly compared to pre-test results and were higher than those of the control group. The t-test indicated a significant difference (p < 0.05), while the effect size (Cohen’s d = 1.32) showed a very strong impact. ANOVA results also confirmed that learning styles significantly influenced adaptive learning outcomes (p < 0.05). Overall, deep learning-based adaptive learning proved effective in enhancing motivation, engagement
Co-Authors Aini, Zohratul Alamsyah, Muhammad Luthfi Nur Amira, Sonia Tasyabaha Andriani, Silvia Apri Sulistianingsih, Apri Ardiana, Sintya Era Asep Sukohar Astuti, Tia Bernaldi, Herdiwan Bingar Wahyu Utomo Darusman, Erwin Dhani Mutiari Dwi Wardani, Sugita Erfanto, Reski Fadhilla Tri Nugrahaini Fathonah, Mutya Nor Febri Arsetyo Wibowo Febriana, Tyas Festy Maharani, Jessica Fitri, Rosmalia Florentina Kusmiyati Gunarti Dwi Lestari Gurindam, Hafiid Dirham Hardiansyah, Rila Harfitriana, Aulia Dwi Hariska, Baiq Maidy Haromain, Haromain Hasanah, Rabi’atun Hasanah, Rabi’atun Herlina Herlina Huda, Bagus Amirul Ida Nurhaida Karno Karno Kurniawaty, Evi Laila, Nur Afifatun Lestari, Galih Dian Machroji, Alif Maharani, Jessica Festi Maulansyah, Riza Andhika Mediansyah, Aulian Mellisa Jupitasari Muhamad Syahrul Mutya Nor Fathonah Ni Made Sulastri Nunuk Hariyati Nuriah, Nuriah Oktadoni Saputra, Oktadoni Oktaviansyah, Almer Naufal Pamungkas, Dhieto Maulaya Hakim Patriantoro . Permana, Rendivan Akbar Pranesti, Widiya Pranoto, Haryo Hutomo Puspa, Egita Windrianatama Putri, Oktalia Kharisma Rahman, Alifudin Aqilla Rahman, Muhammad Irfan Noer Rahmawati, Rizki Fitria Rahmawati, Sabilla Rebcha Ramadani, Fajri Ratna Dewi Puspita Sari Ridha, Aulia Ulfa Rizka, M Arif Rizka, Muhammad Arief Sahroni, Mizan Sari, Kinanti Fadhilah Setiawati, Lina Desi Suryawinata, Arli Susanto, Syifaun Nafiah Susilawati, Hety Sutarto Sutarto Syahrul, Muhamad Syazili Mustofa Takdir Ali Mukti, Takdir Ali Tamba, I Wayan Tamba, I Wayan Tamba Wayan Tamba, Wayan Toana, Rangga Dalu Aji Trijayanthi, Winda Triwahyuni Triwahyuni Urrahman, Auli Wardani, Viona Trisna Wibowo, Febri Arsetyo Widia Astuti Wijaya, Sofyan Musabiq Wisesa, Adhitiya Wulan, Anggraini Janar Yuliantina, Miranda Zahro, Tsabita Fiiki Kamilatun Zinnurain Zinnurain, Zinnurain