Development of Mathematics Learning Design Using AI-Based Deep Learning Approach to Enhance Students’ Digital Literacy
DOI:
https://doi.org/10.15294/kreano.v16i2.32035Keywords:
Mathematics Learning Design, Deep Learning Approach , Artificial Intelligence , Digital LiteracyAbstract
The deep learning approach has become a focus of national education policy to improve education quality in Indonesia and is being implemented in the current curriculum. However, studies developing holistic deep learning instructional designs supported by Artificial Intelligence (AI), particularly to enhance students’ digital literacy in mathematics, remain limited. This study aimed to develop a mathematics learning design using an AI-based deep learning approach to improve students’ digital literacy, specifically in the topic of elements and nets of cube and cuboid for Grade V. The study employed a Research and Development (R&D) method following the ADDIE development model: Analysis, Design, Development, Implementation, and Evaluation. The research subjects were 20 fifth-grade elementary school students from an elementary school in Surabaya. The research instruments consisted of an AI-based deep learning mathematics teaching module for the elements and nets of cube and cuboid topic in Grade V, a digital literacy questionnaire, and a student response questionnaire. The result of this study is a mathematics learning design using AI-based deep learning approach in the form of teaching module in the topic of elements and nets of cube and cuboid is successfully constructed. The teaching module was proven to be highly valid (validation score is 3.64), highly practical (practicality score is 3.39), and effective to enhance students’ digital literacy, with scores increasing from 66.70% to 73.98% (a 7.27% gain). The design aligns with core deep learning principles and supports conceptual understanding, meaningful knowledge construction, and active engagement through AI-based tools. This research contributes to the advancement of mathematics education by offering an implementable and pedagogically grounded mathematics learning design, providing a promising mathematics learning design for integrating AI-based deep learning approaches to enhance students’ digital literacy.
Abstrak
Pendekatan deep learning menjadi fokus kebijakan pendidikan nasional untuk meningkatkan kualitas pendidikan di Indonesia dan mulai diterapkan dalam kurikulum saat ini. Namun, penelitian yang mengembangkan desain pembelajaran deep learning secara holistik dengan dukungan Artificial Intelligence (AI), khususnya untuk meningkatkan literasi digital siswa dalam matematika, masih terbatas. Penelitian ini bertujuan untuk mengembangkan desain pembelajaran matematika dengan pendekatan deep learning berbasis AI sebagai upaya untuk meningkatkan literasi digital siswa, khususnya pada materi unsur-unsur dan jaring-jaring kubus dan balok kelas V. Penelitian ini menggunakan metode penelitian Research and Development (R&D) dengan model pengembangan Analysis, Design, Development, Implementation, dan Evaluation (ADDIE). Subjek penelitian ini yaitu 20 siswa kelas V SD di salah satu SD di Surabaya. Instrumen penelitian yang digunakan yaitu modul ajar matematika dengan pendekatan deep learning berbasis AI pada materi unsur-unsur dan jaring-jaring kubus dan balok untuk kelas V SD, angket literasi digital, dan angket respons siswa. Penelitian ini menghasilkan desain pembelajaran matematika dengan pendekatan deep learning berbasis AI berupa modul ajar materi unsur-unsur dan jaring-jaring kubus dan balok untuk kelas V SD. Modul ajar terbukti sangat valid (skor validasi yaitu 3.64), sangat praktis (skor kepraktisan yaitu 3.39), dan efektif dalam meningkatkan literasi digital siswa, dari skor 66.70% ke 73.98% (peningkatan sebesar 7.27%). Desain pembelajaran ini sejalan dengan prinsip pendekatan deep learning dan mendukung pemahaman konseptual, konstruksi pengetahuan yang bermakna, serta keterlibatan aktif siswa melalui alat berbasis AI. Penelitian ini berkontribusi terhadap perkembangan pendidikan matematika dengan menghadirkan desain pembelajaran matematika yang dapat diimplementasikan dan memiliki landasan pedagogis yang kuat, serta menyediakan desain pembelajaran matematika yang potensial dalam mengintegrasikan pendekatan deep learning berbasis AI untuk meningkatkan literasi digital siswa.
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References
Akmal, A. N., Maelasari, N., & Lusiana, L. (2025). Pemahaman Deep Learning dalam Pendidikan: Analisis Literatur melalui Metode Systematic Literature Review (SLR). JIIP - Jurnal Ilmiah Ilmu Pendidikan, 8(3), 3229–3236. https://doi.org/10.54371/jiip.v8i3.7442
AlAli, R., & Wardat, Y. (2024). Opportunities and Challenges of Integrating Generative Artificial Intelligence in Education. International Journal of Religion, 5(7), 784–793. https://doi.org/10.61707/8y29gv34
Arvin, N., Hoseinabady, M., Bayat, B., & Zahmatkesh, E. (2023). Teacher Experiences with AI-based Educational Tools. AI and Tech in Behavioral and Social Sciences, 1(2), 26–32. https://doi.org/10.61838/kman.aitech.1.2.5
Atmojo, I. R. W., Muzzazinah, Ekawati, E. ., Triastuti, R., Isnantyo, F. D., Sukarno, & Ramadian, R. K. (2025). Pelatihan Implementasi Pendekatan Pembelajaran Deep Learning Untuk Meningkatkan Kompetensi Pedagogik Guru SD di Kota Surabaya. Jurnal Pengabdian UNDIKMA: Jurnal Hasil Pengabdian & Pemberdayaan Kepada Masyarakat, 6(1), 123–131. https://doi.org/10.33394/jpu.v6i1.14507
Badriah, B., & Permana, I. (2023). Enhancing Competence in Writing Best Practices Through the Utilization of the STAR Technique. JLER (Journal of Language Education Research), 6(3), 193–203. https://doi.org/10.22460/jler.v6i3.20452
Barokah, N., & Mahmudah, U. (2025). Transformasi Pembelajaran Matematika SD Melalui Deep Learning: Strategi untuk Meningkatkan Motivasi dan Prestasi. Bilangan : Jurnal Ilmiah Matematika, Kebumian Dan Angkasa, 3(3), 48–61. https://doi.org/10.62383/bilangan.v3i3.521
Bayne, S. (2015). What’s the matter with ‘technology-enhanced learning’? Learning, Media and Technology, 40(1), 5–20. https://doi.org/10.1080/17439884.2014.915851
Bistari, Mikraj, H., Rustam, Budhysatrya, D. A., Zubaidah, Winarji, A., Nurfadilah, Pasaribu, R. L., Jamilah, & Junarti. (2025). Moral Message-Based Deep Learning in Mathematics Instruction for Mathematics MGMP Teachers of Kubu Raya. International Journal of Public Devotion, 8(1), 59–70. https://doi.org/10.26737/ijpd.v8i1.4722
Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research – A systematic review of recent trends. Computers and Education, 114, 255–273. https://doi.org/10.1016/j.compedu.2017.07.004
Chau, D. B., Luong, V. T., Long, T. T., & Linh, N. T. T. (2025). Personalized Mathematics Teaching with The Support of AI Chatbots to Improve Mathematical Problem-Solving Competence for High School Students in Vietnam. European Journal of Educational Research, 14(1), 323–333. https://doi.org/10.12973/eu-jer.14.1.323
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Cóndor-Herrera, O., Bolaños-Pasquel, M., & Ramos, C. (2021). E-learning and M-learning benefits in the learning process. In S. Nazir, T. Z. Ahram, & W. Karwowski (Eds.), Advances in human factors in training, education, and learning sciences. lecture notes in networks and systems (pp. 331–336).
Dewey, J. (1993). How we think : a restatement of the relation of reflective thinking to the educative process. Chicago: Henry Regnery Company.
Egara, F. O., & Mosimege, M. (2024). Exploring the Integration of Artificial Intelligence-Based ChatGPT into Mathematics Instruction: Perceptions , Challenges , and Implications for Educators. Education Sciences, 14(742), 1–20. https://doi.org/10.3390/educsci14070742
Fauskanger, J., & Bjuland, R. (2018). Deep Learning as Constructed in Mathematics Teachers’ Written Discourses. International Electronic Journal of Mathematics Education, 13(3), 149–160. https://doi.org/10.12973/iejme/2705
Fullan, M., & Langworthy, M. (2013). Towards a New End: New Pedagogies for Deep Learning. USA: Collaborative Impact. www.newpedagogies.org
Fullan, M., & Langworthy, M. (2014). A Rich Seam How New Pedagogies Find Deep Learning. Pearson.
Fullan, M., & Quinn, J. (2020). How Do Disruptive Innovators Prepare Today’s Students to Be Tomorrow’s Workforce? Deep Learning: Transforming Systems To Prepare Tomorrow’s Citizens. Inter-American Development Bank. https://doi.org/10.18235/0002959
Fullan, M., Quinn, J., & McEachen, J. (2018). Deep Learning Engage the World Change the World. Corwin A SAGE Company.
Gadelha, R. (2018). Revolutionizing Education: The Promise of Virtual Reality. Childhood Education, 94(1), 40–43. https://doi.org/10.1080/00094056.2018.1420362
Gilster, P. (1997). Digital Literacy. Wiley Computer Pub, New York.
Glogar, M. O., Sutlovic, A., Matijevic, I., & Hajsan-Dolinar, V. (2017). PREFERENCES OF COLORS AND IMPORTANCE OF COLOR IN WORKING SURROUNDING OF ELEMENTARY SCHOOL CHILDREN. ICERI2017 Proceedings. https://doi.org/10.21125/iceri.2017.1268
Hasanah, N. R., Fajriah, N., & Suryaningsih, Y. (2023). Pengembangan LKPD Berbasis HOTS Materi Segi Empat Konteks Rumah Adat Baanjung Gajah Baliku Untuk Siswa Kelas VII SMP/MTs. EDU-MAT: Jurnal Pendidikan Matematika, 11(1), 24–38. https://doi.org/10.20527/edumat.v11i1.15308
Hattie, J. A. C., & Donoghue, G. M. (2016). Learning strategies: a synthesis and conceptual model. Science of Learning, 1(1), 1–13. https://doi.org/10.1038/npjscilearn.2016.13
Hobri. (2021). Metodologi Penelitian Pengembangan: Aplikasi Pada Penelitian Pendidikan Matematika. Pena Salsabila.
Hussin, A. A. (2018). Education 4.0 Made Simple: Ideas For Teaching. International Journal of Education & Literacy Studies, 6(3), 92–98. https://doi.org/10.7575/aiac.ijels.v.6n.3p.92
Ilyas, A., Akbar, S. S., Wajid, S. H., Joghee, S., Fatima, A., & Mago, B. (2023). The Growing Importance of Modern Technology in Education. The Growing Importance of Modern Technology in Education. 2nd International Conference on Business Analytics for Technology and Security (ICBATS), 1–4.
Kong, C., & Hao, W. (2022). Research on The Teaching Reform of Preschool Education Specialty Based on The Deep Learning Theory From The Perspective of Educational Psychology. Psychiatria Danubina, 34(4), 636–637. https://hrcak.srce.hr/file/409696
Lee, S.-Y. (2021). Revisiting Students’ Reflection in Mathematics Learning: Defining, Facilitating, Analyzing, and Future Directions. Universal Journal of Educational Research, 9(1), 154–160. https://doi.org/10.13189/ujer.2021.090117
Makhafola, L., van Deventer, M. J., Holmner, M. A., & van Wyk, B. (2025). A scoping review of digital literacy, digital competence, digital fluency and digital dexterity in academic libraries’ context. Journal of Academic Librarianship, 51(3), 103053. https://doi.org/10.1016/j.acalib.2025.103053
Miller, E. C., & Krajcik, J. S. (2019). Promoting deep learning through project-based learning: a design problem. Disciplinary and Interdisciplinary Science Education Research, 1(7), 1–10. https://doi.org/10.1186/s43031-019-0009-6
Mohamed, M. Z. b., Hidayat, R., Suhaizi, N. N. b., Sabri, N. b. M., Mahmud, M. K. H. b., & Baharuddin, S. N. b. (2022). Artificial Intelligence in Mathematics Education: A Systematic Literature Review. International Electronic Journal of Mathematics Education, 17(3), em0694. https://doi.org/10.29333/iejme/12132
Mutmainnah, N., Adrias, & Zulkarnaini, A. P. (2025). IMPLEMENTASI PENDEKATAN DEEP LEARNING TERHADAP PEMBELAJARAN MATEMATIKA DI SEKOLAH DASAR. Pendas : Jurnal Ilmiah Pendidikan Dasar, 10(01), 858–871. https://doi.org/10.23969/jp.v10i01.23781
Nababan, E., Hasibuan, S. H. M. H., Mika, S., Putri, T. A., Mailani, E., & Rarastika, N. (2025). Penerapan Pendekatan Deep Learning dalam Pembelajaran Matematika di Sekolah Dasar. Katalis Pendidikan: Jurnal Ilmu Pendidikan Dan Matematika, 2(3), 14–20. https://doi.org/10.62383/katalis.v2i3.1865
Nadjla, A. A. (2024). Pembelajaran Matematika Berbasis Kecerdasan Buatan untuk Meningkatkan Aksesibilitas dan Karakter Peserta. Prosiding Seminar Nasional Hasil Penelitian Dan Abdimas, 3, 289–297. https://prosiding.stkippacitan.ac.id/index.php/semnaspenelitianabdimas/article/view/143
Natsir, S. R. (2025). Implementasi Kurikulum Merdeka dalam Pembelajaran Matematika di Sekolah Dasar: Studi Deskriptif Pendekatan Deep Learning dalam Kerangka Kurikulum Merdeka Belajar. Journal of Innovation Research and Knowledge (JIRK), 4(9), 7263–7274. https://bajangjournal.com/index.php/JIRK/article/view/9909
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153. https://doi.org/10.2478/jolace-2019-0025
Rahayu, C., Setiani, W. R., Yulindra, D., & Azzahra, L. (2025). Pendidikan Matematika Realistik Indonesia dalam Pembelajaran Mendalam (Deep Learning): Tinjauan Literatur. Jurnal Pendidikan Matematika Universitas Lampung, 13(1), 9–25. https://doi.org/10.23960/mtk/v13i1.pp9-25
Reinhold, F., Hoch, S., Werner, B., Richter-Gebert, J., & Reiss, K. (2020). Learning fractions with and without educational technology: What matters for high-achieving and low-achieving students? Learning and Instruction, 65, 101264. https://doi.org/10.1016/j.learninstruc.2019.101264
Rodríguez-Jiménez, C., de la Cruz-Campos, J. C., Campos-Soto, M. N., & Ramos-Navas-Parejo, M. (2023). Teaching and Learning Mathematics in Primary Education: The Role of ICT-A Systematic Review of the Literature. Mathematics, 11(272), 1–12. https://doi.org/10.3390/math11020272
Sari, R. N., Rosjanuardi, R., Herman, T., Isharyadi, R., & Balkist, P. S. (2024). Development of Mathematics Interactive E-Worksheet. Eurasia Proceedings of Science, Technology, Engineering and Mathematics, 28, 317–325. https://doi.org/10.55549/epstem.1521959
Setälä, M., Heilala, V., Sikström, P., & Kärkkäinen, T. (2025). The Use of Generative Artificial Intelligence for Upper Secondary Mathematics Education Through the Lens of Technology Acceptance. In Proceedings of the ACM Symposium on Applied Computing (Vol. 1, Issue 1). Association for Computing Machinery. https://doi.org/10.1145/3672608.3707817
Sharma, R. C., Kawachi, P., & Bozkurt, A. (2019). The Landscape of Artificial Intelligence in Open, Online and Distance Education: Promises and Concerns. Asian Journal of Distance Education, 14(2), 1–2. https://asianjde.com/ojs/index.php/AsianJDE/article/view/432
Sinaga, P., Setiawan, W., & Liana, M. (2022). The impact of electronic interactive teaching materials (EITMs) in e-learning on junior high school students’ critical thinking skills. Thingking Skills and Creativity, 46, 101066. https://doi.org/10.1016/j.tsc.2022.101066
Suyanto, Mubarak, A. ., Suryadi, B., Darmawan, C., Wahyudin, D., Qodir, A. ., Iskandar, H., Ismah, Kadir, Yulianti, K., Maskur, Faradella, N. E., Herianingtyas, N. L. R., Waspodo, M., Purwahida, R., Indrajit, R. E., Yazid, R., Oktafiana, S., Matakupan, S. ., … Darmajati, T. (2025). Naskah Akademik Pembelajaran Mendalam Menuju Pendidikan Bermutu Untuk Semua. Pusat Kurikulum dan Pembelajaran Badan Standar, Kurikulum, dan Asesmen Pendidikan Kementrian Pendidikan Dasar dan Menengah Republik Indonesia.
Tempo. (2024). Mendikdasmen Abdul Mu’ti: Pendekatan Deep Learning Akan Diterapkan di Kurikulum Nasional. https://www.tempo.co/politik/mendikdasmen-abdul-mu-ti-pendekatan-deep-learning-akan-diterapkan-di-kurikulum-nasional-1188242
Wahyuni, K. S. P., Candiasa, I. M., & Wibawa, I. M. C. (2021). Pengembangan E-LKPD Berbasis Kemampuan Berpikir Tingkat Tinggi Mata Pelajaran Tematik Kelas IV Sekolah Dasar. PENDASI: Jurnal Pendidikan Dasar Indonesia, 5(2), 301–311. https://doi.org/10.23887/jurnal_pendas.v5i2.476
Wijaya, A. A., Haryati, T., & Wuryandini, E. (2025). Implementasi Pendekatan Deep Learning dalam Peningkatan Kualitas Pembelajaran di SDN 1 Wulung, Randublatung, Blora. Indonesian Research Journal on Education, 5(1), 451–457. https://doi.org/10.31004/irje.v5i1.1950
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