Rosyidah, Titin (2026) Analisis Komparatif Konseptual Pendekatan Pembelajaran Deep Learning pada Kurikulum Merdeka dan Kurikulum Berbasis Cinta di Pembelajaran PAI. Masters thesis, Universitas Muhammadiyah Surabaya.
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Abstract
Penelitian ini dilatarbelakangi tuntutan pembelajaran Pendidikan Agama Islam (PAI) untuk membentuk karakter peserta didik secara holistik di tengah globalisasi. Sebagai respons atas pembelajaran yang superfisial, muncul pendekatan Deep Learning. Penelitian bertujuan menganalisis 1) Pendekatan Deep Learning pada Kurikulum Merdeka dipembelajaran PAI , 2) Pendekatan Deep Learning pada Kurikulum Berbasis Cinta dipembelajaran PAI, 3) Analisis komparatif keduanya..
Metode penelitian menggunakan pendekatan kualitatif dengan jenis studi kepustakaan. Data dikumpulkan melalui studi dokumentasi terhadap buku, jurnal ilmiah, regulasi, dan dokumen relevan, lalu dianalisis menggunakan teknik analisis isi melalui reduksi data, penyajian data, dan penarikan kesimpulan.
Hasil penelitian menunjukkan: 1) Pendekatan Deep Learning pada Kurikulum Merdeka menekankan pembelajaran berpusat pada peserta didik untuk membangun pemahaman konseptual, berpikir kritis, reflektif, dan pemecahan masalah. 2) Pada Kurikulum Berbasis Cinta, pendekatan ini mengembangkan prinsip serupa namun menekankan internalisasi panca cinta serta penguatan karakter spiritual, emosional, dan sosial. 3) Analisis komparatif menunjukkan kedua kurikulum memiliki persamaan dalam mewujudkan pembelajaran PAI yang aktif, bermakna, dan berpusat pada siswa. Perbedaannya terletak pada orientasi filosofis: Kurikulum Merdeka menitikberatkan pengembangan kompetensi serta kemandirian belajar, sedangkan Kurikulum Berbasis Cinta menekankan pembentukan karakter melalui nilai kasih sayang.
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This research is motivated by the demands of Islamic Religious Education (PAI) to shape students' holistic character in the midst of globalization. As a response to superficial learning, the Deep Learning approach has emerged. This study aims to analyze: 1) the Deep Learning approach in the Merdeka Curriculum within PAI, 2) the Deep Learning approach in the Love-Based Curriculum within PAI, and 3) a comparative analysis of both approaches.
This study employed a qualitative approach with a library research design. Data were collected through documentation studies of books, scientific journals, regulations, and other relevant documents. The data were then analyzed using content analysis techniques, which involved data reduction, data display, and drawing conclusions.
The results of the study indicate that: 1) The Deep Learning approach in the Merdeka Curriculum emphasizes student-centered learning to build conceptual understanding, critical thinking, reflection, and problem-solving skills. 2) In the Love-Based Curriculum, this approach develops similar principles but places greater emphasis on the internalization of the five pillars of love (panca cinta) and the reinforcement of spiritual, emotional, and social character. 3) The comparative analysis shows that both curricula share similarities in fostering active, meaningful, and student-centered PAI learning. The difference lies in their philosophical orientations: the Merdeka Curriculum focuses on competence development and independent learning, whereas the Love-Based Curriculum emphasizes character building rooted in compassionate values.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Deep Learning, Kurikulum Merdeka, Kurikulum berbasis cinta, Pembelajaran PAI (,)Deep Learning, Merdeka Curriculum, Love-Based Curriculum, PAI (Islamic Religious Education). |
| Subjects: | B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc L Education > LB Theory and practice of education L Education > LB Theory and practice of education > LB2361 Curriculum |
| Divisions: | 01. Fakultas Studi Islam dan Peradaban > S2 Pendidikan Islam |
| Depositing User: | TITIN ROSYIDAH |
| Date Deposited: | 01 Oct 2026 07:56 |
| Last Modified: | 01 Oct 2026 07:56 |
| URI: | https://repository.um-surabaya.ac.id/id/eprint/14637 |
