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Submitted
March 10, 2023
Accepted
December 12, 2025
Published
November 30, 2025
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Abstract

This study is grounded in the growing need for innovative instructional models that can enhance students’ motivation and academic achievement, particularly in mathematics learning at the senior high school level. Conventional teaching approaches have often been associated with low student engagement and suboptimal learning outcomes, prompting the exploration of more student-centered and cognitively engaging models. Accordingly, this study aims to analyze the impact of implementing a Deep Learning instructional model on learning motivation and mathematics achievement among senior high school students in Buru Regency. The research employed a quasi-experimental method using a pretest–posttest control group design. The sample consisted of 120 senior high school students, divided into an experimental group taught using the Deep Learning model and a control group receiving conventional instruction. The findings indicate a significant increase in learning motivation in the experimental group, with mean scores rising from 67.4 to 85.2, alongside an improvement in mathematics achievement from 61.3 to 80.6. In contrast, the control group showed only marginal gains on both indicators. Independent t-test results confirmed statistically significant differences between the two groups (p < 0.05). A strong positive correlation was also identified between motivation and achievement (r = 0.67, p < 0.01), with motivation contributing 43 percent to achievement improvement. In conclusion, the Deep Learning model proves effective in enhancing both motivation and mathematics achievement, supporting its implementation as a promising instructional innovation, particularly in developing regions.

Keywords

Deep Learning Mathematics Motivation Senior High School Achievement

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Copyright (c) 2025 Suhardi Buton, Wa Malmia, Nur Fadhila Amir

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How to Cite
Buton, S., Wa Malmia, & Amir, N. F. (2025). The Effect of a Deep Learning-Based Instructional Model on Learning Motivation and Mathematics Achievement of Senior High School Students in Buru Regency. Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton, 11(4), 1277–1287. https://doi.org/10.35326/pencerah.v11i4.3203
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References

  1. Adam, I., & Hasbullah. (2019). Pengaruh Motivasi Terhadap Prestasi Belajar Matematika. Jurnal Pendidikan Matematika.
  2. Adam, R., & Hasbullah. (2019). Analisis faktor rendahnya hasil belajar matematika siswa sekolah menengah. Jurnal Pendidikan Matematika Indonesia, 4(2), 85–94.
  3. Bhoke, M. (2017). Pengaruh Motivasi Terhadap Prestasi Akademik Siswa. Jurnal Pendidikan.
  4. Dahroni, T. (2025). Pengaruh Pendekatan Deep Learning melalui Model Problem Based Learning pada Hasil Belajar Siswa. Cakrawala Pendidikan Matematika, 9(1).
  5. Fullan, M., & Langworthy, M. (2019). Deep learning: Engage the world, change the world. Corwin Press.
  6. Hattie, J. (2018). Visible learning: Feedback. Routledge.
  7. Hisda, W. T., Yusnan, M., Firasti, F., Purwaningsih, T., & Aras, L. O. (2023). Peningkatan Keterampilan Belajar Bahasa Indonesia Tentang Membaca Dongeng Dengan Penerapan Metode Demostrasi. Trapsila: Jurnal Pendidikan Dasar, 5(1), 1-8.
  8. Kadarisma, G., & Sari, D. P. (2025). The implementation of deep learning approaches in mathematics instruction to enhance student motivation and achievement. Journal of Mathematics Education, 16(1), 45–59.
  9. Kadarisma, M., & Sari, D. (2025). Kajian Literatur Penerapan Deep Learning Pedagogis di Indonesia. Jurnal Matematika dan Pembelajaran, 13(1), 1-12.
  10. Lubis, R. H., & Ariansyah, M. (2024). Pembelajaran matematika di daerah 3T: Tantangan dan strategi inovatif. Jurnal Pendidikan dan Kebudayaan, 29(1), 67–78.
  11. Lubis, R., & Ariansyah, R. (2024). Perbandingan Efektivitas Pembelajaran Deep Learning dan Konvensional pada Pembelajaran Matematika. Aljabar: Jurnal Pendidikan Matematika, 12(2), 123-134.
  12. Mutmainnah, M. (2025). Implementasi Pendekatan Deep Learning dalam Pembelajaran Matematika untuk Meningkatkan Hasil Belajar dan Aktivitas Siswa. Pendas: Jurnal Ilmiah Pendidikan Dasar, 8(1), 53-61.
  13. Mutmainnah. (2025). Mathematics learning and higher order thinking skills development in secondary education. International Journal of Educational Studies, 7(2), 101–112.
  14. Orhani, N. (2024). Kajian Literatur Penerapan Deep Learning Pedagogis di Indonesia. Jurnal Matematika dan Sains Terapan, 13(2).
  15. Palullu, N. (2022). Kontribusi Motivasi Terhadap Prestasi Matematika Siswa SMP. Jurnal Sains Riset, 7(3), 100-112.
  16. Palullu, S. (2022). Problematika pembelajaran matematika di wilayah kepulauan terpencil. Jurnal Inovasi Pendidikan, 14(3), 210–222.
  17. Pembelajaran Berbantuan Softwere Geogebra. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(1), 166–173. https://doi.org/10.24127/ajpm.v9i1.2663
  18. Pratama, A., & Lestari, N. (2023). Contextual mathematics learning and its impact on student motivation in rural schools. Journal of Educational Research and Practice, 13(2), 134–148.
  19. Rahayu, E. (2025). Transformasi Pembelajaran Matematika SD Melalui Deep Learning. Jurnal Khatulistiwa Pendidikan, 10(2), 160-172.
  20. Rahmat, A., & Friantinai, A. (2019). Hubungan Motivasi Belajar dengan Hasil Belajar Matematika. Jurnal Pendidikan Dasar, 11(1), 52-58.
  21. Rahmat, A., & Friantinai, R. (2019). Self-confidence and student participation in mathematics learning. Jurnal Psikologi Pendidikan, 8(1), 55–66.
  22. Razi, Z., & Mirunnisa. (2019). Model Discovery Learning Berbantuan Software Maple Terhadap Kemampuan Pemahaman Matematis. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 8(3), 520–527.
  23. Rudyanto, H. E. (2016). Model Discovery Learning Dengan Pendekatan Saintifik Bermuatan Karakter Untuk Meningkatkan Kemampuan Berpikir Kreatif. Premiere Educandum : Jurnal Pendidikan Dasar Dan Pembelajaran, 4(01), 41–48.
  24. Schunk, D. H., Meece, J. L., & Pintrich, P. R. (2014). Motivation in education: Theory, research, and applications (4th ed.). Pearson Education.
  25. Sufatihah, S. (2018). Hubungan Motivasi Berprestasi dengan Hasil Belajar Matematika Siswa SMP. Jurnal Pendidikan Matematika, 8(1), 22-33.
  26. Suhardi, S. (2025). Efektivitas Penerapan Model Pembelajaran Deeper Learning dalam Meningkatkan Prestasi Matematika. UIN Alauddin Makassar.
  27. Sulistiawati, N. (2025). Pengaruh Pendekatan Deep Learning Berbantuan Media Interaktif terhadap HOTS dan Kemampuan Pemecahan Masalah. Seminar Proceedings.
  28. Sulistiawati. (2025). Deep learning–based instruction to improve mathematical understanding in senior high schools. Jurnal Pendidikan Matematika, 11(1), 23–37.
  29. Syafii, A. (2021). Hubungan Motivasi Belajar Matematika Siswa Terhadap Hasil Belajar. Jurnal Cendekia Pendidikan, 9(1), 33-45.
  30. Uhamka, R. (2025). Mengungkap Perspektif Siswa: Peran Deep Learning pada Matematik dengan Teknologi Visual. International Journal of Progressive Mathematics Education, 13(1), 30-42.
  31. Vahlia, I. (2014). Ekperimentasi Model Pembelajaran Discovery dan Group Investigation terhadap Prestasi Belajar matematika Ditinjau dari Kreativitas Siswa. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 3(2), 43–54.