PENGARUH PENERAPAN MODEL DEEP LEARNING TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA SMA KOTA BENGKULU
Kata Kunci:
deep learning, mathematical problem solving, student high schoolAbstrak
This article investigates the influence of deep learning models on mathematical problem-solving abilities among high school students in Bengkulu City. The study employs a quantitative research approach with experimental design to analyze the effectiveness of implementing deep learning technology in mathematics education. The research involves 120 students from three different high schools in Bengkulu City, divided into experimental and control groups. Results indicate that students who utilized deep learning-based learning models showed significant improvement in mathematical problem-solving capabilities compared to traditional learning methods. The findings suggest that integration of technology, particularly deep learning models, can enhance students' analytical thinking and mathematical reasoning skills.
Referensi
Amri, Syaipul. Widada.Wahyu, Zamzaili. Susanta,Agus.(2020) Pengaruh Self Confidence, Self efficacy, Kemampuan Pemahaman Konsep terhadap Kemampuan pemecahan Masalah Matematika SMA Kota Bengkulu. Jurnal Pendipa UNIB.
Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research – A systematic review of recent trends. Computers & Education, 114, 255-273
Chen, L., & Wang, X. (2020). Deep learning approaches in mathematics education: A comprehensive review. Educational Technology Research and Development, 68(4), 1891-1915.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). RegGoodfellow, I., Bengio, Y., & Courville, A. (2016). Regularization for Deep Learning. Deep Learning, 216–261.ularization for Deep Learning. Deep Learning.
Hakim, L. (2022). Peranan Kecerdasan Buatan (Artificial Intelligence) dalam Pendidikan. Kemenristek Dirjen Guru Dan Tenaga Kependidikan.
Intel Corporation. (2025). Artificial Intelligence (AI) in Education. Retrieved from https://www.intel.com/content/www/us/en/learn/ai-in-education.html
Kilpatrick, J., Swafford, J., & Findell, B. (Eds.). (2001). Adding it up: Helping children learn mathematics. National Academy Press.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. NCTM.
Nurlaelah, E. (2023). Application of Artificial Intelligence Photomath in Learning Mathematics. International Conference on Learning Community. Retrieved from https://jurnal.untirta.ac.id/index.php/iclc/article/view/27978
Polya, G. (2014). How to solve it: A new aspect of mathematical method. In How to Solve It: A New Aspect of Mathematical Method. https://doi.org/10.2307/2306109
Schoenfeld, A. H. (2013). Reflections on problem solving theory and practice. Mathematics Enthusiast, 10(1–2). https://doi.org/10.54870/1551-3440.1258
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
Stanic, G. M., & Kilpatrick, J. (1989). Historical perspectives on problem solving in the mathematics curriculum. In R. I. Charles & E. A. Silver (Eds.), The teaching and assessing of mathematical problem solving (pp. 1-22). National Council of Teachers of Mathematics.
Universitas Gadjah Mada. (2025). AI and Coding to Be Introduced in Selected Indonesian Schools. Retrieved from https://ugm.ac.id/en/news/
Zhang, K., Aslan, A. B., & Katsiyannis, A. (2019). Effects of artificial intelligence on student achievement in mathematics: A meta-analysis. Journal of Educational Computing Research, 57(7), 1727-1748.

