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Dwi Fajri, Muhammad
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Religion Arts Humanities Education Social Sciences

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Integration of Deep Learning in Teaching Local Wisdom Values in Islamic Education Dwi Fajri, Muhammad; Amrin, Amrin
Mimbar Agama Budaya Vol 42, No 1 (2025)
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/mimbar.v42i1.45709

Abstract

This study explores applying deep learning technology to enhance the teaching of local wisdom values in Islamic education. In the artificial intelligence era, integrating its capabilities in education is on the rise, but teaching local wisdom has not yet kept up with modern technology. A qualitative approach with a literature review focused on the application of deep learning in Islamic education is addressed in this study. The survey results show that deep learning can create adaptive learning systems that tailor the materials based on students' characteristics. Such systems can enrich learners ' experiences, enhance understanding of Islamic values, and improve younger learners' character development through local wisdom, Islamic teachings, and ethics more efficiently. Other possibilities include automated analysis of students' learning behaviors for personalized instruction, easy interaction with the educational materials, and learning through experiences. Therefore, integrating deep learning technology into Islamic education could offer innovative approaches to guard and disseminate teaching local wisdom in light of modern technological advancements.
Integration of Deep Learning in Teaching Local Wisdom Values in Islamic Education Dwi Fajri, Muhammad; Amrin
Mimbar Agama Budaya Vol. 42 No. 1 (2025)
Publisher : Center for Research and Publication (PUSLITPEN), UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/mimbar.v42i1.45709

Abstract

This study explores applying deep learning technology to enhance the teaching of local wisdom values in Islamic education. In the artificial intelligence era, integrating its capabilities in education is on the rise, but teaching local wisdom has not yet kept up with modern technology. A qualitative approach with a literature review focused on the application of deep learning in Islamic education is addressed in this study. The survey results show that deep learning can create adaptive learning systems that tailor the materials based on students' characteristics. Such systems can enrich learners ' experiences, enhance understanding of Islamic values, and improve younger learners' character development through local wisdom, Islamic teachings, and ethics more efficiently. Other possibilities include automated analysis of students' learning behaviors for personalized instruction, easy interaction with the educational materials, and learning through experiences. Therefore, integrating deep learning technology into Islamic education could offer innovative approaches to guard and disseminate teaching local wisdom in light of modern technological advancements.
Students' Perceptions of Gender Discrimination in Indonesia: A Study at Muhammadiyah University Kumala, Anisia; Dwi Fajri, Muhammad; Rosyidi, Muhib; Rahayu, Neng; Salsabila, Mutia; Amirullah, Amirullah
Mimbar Agama Budaya Vol. 41 No. 2 (2024)
Publisher : Center for Research and Publication (PUSLITPEN), UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/mimbar.v41i2.41042

Abstract

Gender equality is still an important and strategic issue to discuss in Indonesia. This study aims to describe the gender role attitudes of students in the Muhammadiyah and Aisyiyah Higher Education (PTMA) environment because PTMA students are agents of change and are tasked with spreading the Muhammadiyah Islamic preaching committed to gender equality and justice. The research method used quantitative with respondents in this study totaling 200 students in various PTMA, 136 women and 64 men. The instruments used in this study were constructed by the researcher and consisted of five dimensions: religion, marriage and family, social work, work, and education. The results of this study indicate that in general, the gender role attitudes of students in the PTMA environment are more egalitarian than traditional gender roles, meaning that they already have a gender role perspective based on equality. However, there is still a gender bias, such as the view of the same potential between women and men in education; religious authority (ulama) towards women is not the same as men; and opportunities for public leadership for women. The implications of the findings of this study will be discussed further.
Co-Authors Amirullah -, Amirullah amrin Amrin Amrin Arsad Hidayat Kumala, Anisia Muhib Rosyidi Rahayu, Neng Salsabila, Mutia