Pembelajaran Berbasis Deep Learning: Sebuah Kajian Literatur Sistematis
DOI:
https://doi.org/10.33477/al-alam.v4i2.13005Keywords:
deep learning, pembelajaran sains lingkunganAbstract
Twenty-first-century learning requires instructional approaches that promote deep understanding and active student engagement. Pedagogical deep learning emphasizes mindful, meaningful, and joyful learning. This study aims to systematically review the implementation of pedagogical deep learning in educational practices. A Systematic Literature Review was conducted by analyzing ten relevant research articles. The findings indicate that deep learning-based instruction enhances student engagement, conceptual understanding, higher-order thinking skills, and learning motivation. However, its effectiveness depends on teacher readiness and instructional design. Overall, pedagogical deep learning shows strong potential as an effective instructional approach when implemented in a planned and contextual manner.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Charisha Latifa Naim, Fitri Olvia Rahmi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process. It can lead to productive exchanges and earlier and greater citation of published work.



