Penerapan Pembelajaran Deep Learning Berbasis STEAM Sebagai Penguatan Karakter Siswa

Authors

  • Nana Liesdiana Universitas Muhammadiyah Malang
  • Joko Widodo Universitas Muhammadiyah Malang
  • Kusnaini Kusnaini Universitas Muhammadiyah Malang

DOI:

https://doi.org/10.24127/sss.v10i2.5045

Keywords:

deep learning, STEAM, karakter, kompetensi, peningkatan

Abstract

Kurikulum yang mengalami perkembangan menuntut perubahan paradigma dalam pendidikan di semua tingkat. Demikian juga di level sekolah dasar. Dengan semakin pesatnya teknologi maka pembelajaran dengan pendekatan deep learning yang berbasis STEAM (Science, Technology, Engineering, Art, and Mathematics) menjadi bagian yang sangat relevan.  Hal yang penting diterapkan kepada siswa sekolah dasar adalah pembelajaran yang sejalan dengan kehidupan nyata disertai penanaman karakter positif. Tujuan dari pengabdian ini adalah meningkatkan kompetensi guru dalam mengajar dengan mengintegrasikan  pendekatan pembelajaran deep learning, STEAM, dan penanaman karakter positif.  Untuk mencapainya maka dibuatlah alur kegiatan yaitu perencanaan, pelatihan, penugasan, refleksi, tindak lanjut, pendampingan, dan pemantauan. Hasil penelitian menunjukkan bahwa kompetensi guru meningkat dengan panduan modul ajar yang mengakomodasi kebutuhan gaya belajar siswa. Praktik mengajar di depan teman sejawat membantu memperkaya strategi mengajar. Disamping itu refleksi dan tindak lanjut yang dilakukan guru menjadikan perbaikan-perbaikan berkelanjutan dalam aktifitas mengajar. Pendampingan narasumber dan pemantauan dari kepala sekolah juga menjadi motivasi guru untuk meningkatkan keterampilan mengajar mereka

References

Hasja, N. F. B., Hamka, L., & Rahman, S. (2023). Peningkatan Partisipasi Aktif Siswa dalam Pembelajaran IPA dengan Menggunakan Metode Collaborative Learning. Jurnal Pemikiran Dan Pengembangan Pembelajaran, 5(3), 667–675.

Hurriyati, E. A., Fitriana, E., Cahyadi, S., & Srisayekti, W. (2022). The Predictive Role of IQ, Mood, Emotional Reactivity, and Effortful Control on Working Memory among Hafidz Qur’an. The Open Psychology Journal, 15(1). https://doi.org/10.2174/18743501-v15-e2202210

Indrawati, B. (2020). Tantangan dan Peluang Pendidikan Tinggi Dalam Masa dan Pasca Pandemi Covid-19. Jurnal Kajian Ilmiah (JKI), 1(1), 39–48. https://doi.org/10.31599/jki.v1i1.261

Lytras, M. D. (2023). An Integrated Transformative Learning Strategy at National Level: Bold Initiatives Toward Vision 2030 in Saudi Arabia. In Active and Transformative Learning in STEAM Disciplines (pp. 281–296). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83753-618-420231014

Pitt, C. R., Bell, A., Strickman, R., & Davis, K. (2019). Supporting learners’ STEM-oriented career pathways with digital badges. Information and Learning Sciences, 120(1/2), 87–107. https://doi.org/10.1108/ILS-06-2018-0050

Riyad, M., Ali, A., Septiani, D., Masyani, K., Irfani, A., Zahrotunnzibah, A., Dardiri, D., Badriah, S., & Abidin, Z. (2022). Manajeman Peningkatan Mutu untuk Mewujudkan Pendidikan Berkualitas. Edusifa: Jurnal Pendidikan Islam, 6(2), 166–173. https://doi.org/10.56146/edusifa.v6i2.29

Salmi, H. S., Thuneberg, H., & Bogner, F. X. (2023). Is there deep learning on Mars? STEAM education in an inquiry-based out-of-school setting. Interactive Learning Environments, 31(2), 1173–1185. https://doi.org/10.1080/10494820.2020.1823856

Shukshina, L. V, Gegel, L. A., Erofeeva, M. A., Levina, I. D., Chugaeva, U. Y., & Nikitin, O. D. (2021). STEM and STEAM Education in Russian Education: Conceptual Framework. Eurasia Journal of Mathematics, Science and Technology Education, 17(10), 1–14. https://doi.org/10.29333/ejmste/11184

Spanos, D., Passalis, N., & Tefas, A. (2025). Leveraging subclass learning for improving uncertainty estimation in deep Learning. Neurocomputing, 651. https://doi.org/10.1016/j.neucom.2025.130954

Taufiqurrahman, T., & Junaidi, J. (2021). Pembelajaran berbasis Proyek (Project-based Learning) untuk mengembangkan keterampilan abad 21. INCARE, International Journal of Educational Resources, 2(2), 225–241.

Wijaya, M. (2025). Kurikulum Deep Learning di Indonesia ; Sebuah Harapan. 1(1), 10–15.

Zheng, J., Zhang, Y., & Zhang, S. (2024). Audio-visual aesthetic teaching methods in college students’ vocal music teaching by deep learning. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-80640-7

Downloads

Published

2026-05-23

Issue

Vol. 10 No. 2 (2026): Mei 2026

Section

Artikel

License

Authors who publish with this journal agree to the following terms:

    • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.  Creative Commons Attribution 4.0 International License.
    • Authors are able to 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) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
    • The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).
Creative Commons License
Creative Commons License
SINAR SANG SURYA: Jurnal Pusat Pengabdian kepada Masyarakat is licensed under a Creative Commons Attribution 4.0 International License.