FROM TRADITIONAL TO INTELLIGENT LEARNING: DEVELOPMENT OF AI-BASED MATHEMATICS LEARNING MEDIA TO STRENGTHEN DIGITAL LITERACY WITHIN A DEEP LEARNING INSTRUCTIONAL DESIGN FRAMEWORK

Authors

  • Amalia Silwana STKIP Bina Insan Mandiri
  • Lita Aditya Khoirun Nisa' STKIP Bina Insan Mandiri
  • Evi Widayanti STKIP Bina Insan Mandiri

DOI:

https://doi.org/10.23969/jp.v10i04.35381

Keywords:

deep learning, instructional design, mathematics learning media, digital literacy

Abstract

IT-based mathematics learning media integrated with AI hold substantial potential in education. However, such media have not been widely implemented in Indonesian schools, particularly at the elementary level. In fact, one of the supporting aspects of the deep learning approach is the use of digital technology, which is closely related to digital literacy as a key 21st-century competency that students must acquire. This study aims to develop interactive mathematics learning media using GeoGebra integrated with AI (ChatGPT) to enhance students’ digital literacy and support AI-based deep learning in mathematics, specifically on the topic of the elements and nets of cube and cuboid for grade V elementary students. ChatGPT is use alongside GeoGebra in helping students understand the concepts: GeoGebra facilitated visualization and interactive simulation, while ChatGPT supports conceptual exploration and reflection. This research is a Research and Development (R&D) design using the ADDIE development model. The study was conducted at SD Muhammadiyah 15 Surabaya. The results indicate that the developed media are highly valid, with a validity score of 3.95, and highly practical, with a practicality score of 3.38. In line with the deep learning approach principles: students were able to discover the concepts of elements and nets of cube and cuboid independently and enjoyably through the integration of GeoGebra and ChatGPT (joyful learning). Consequently, the knowledge acquired by the students became meaningful (meaningful learning) and they were able to realize the learning objectives because they were deeply engaged in the process of conceptual discovery (mindful learning).

Downloads

Download data is not yet available.

References

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

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

Borzekowski, D. L. G. (2018). A quasi-experiment examining the impact of educational cartoons on Tanzanian children. Journal of Applied Developmental Psychology, 54, 53–59. https://doi.org/10.1016/j.appdev.2017.11.007

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

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

Fullan, M., & Langworthy, M. (2013). Towards a New End: New Pedagogies for Deep Learning. USA: Collaborative Impact.

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

Hidayat, R., Kamarazan, N. ., Nasir, N., & Ayub, A. F. . (2023). The Effect of GeoGebra Software on Achievement and Engagement Among Secondary School Students. Malaysian Journal of Mathematical Sciences, 17(4), 611–627. https://doi.org/10.47836/mjms.17.4.06

Hobri. (2021). Metodologi Penelitian Pengembangan: Aplikasi Pada Penelitian Pendidikan Matematika. Jember: Pena Salsabila.

Ishartono, N., Nurcahyo, A., Waluyo, M., Razak, R. A., Sufahani, S. F., & Hanifah, M. (2022). GeoGebra-based flipped learning model: An alternative panacea to improve students’ learning independency in online mathematics learning. Journal of Research and Advances in Mathematics Education, 7(3), 178–195. https://doi.org/10.23917/jramathedu.v7i3.18141

Juandi, D., Kusumah, Y. S., Tamur, M., Perbowo, K. S., & Wijaya, T. T. (2021). A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go ? Heliyon, 7, e06953. https://doi.org/10.1016/j.heliyon.2021.e06953

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kim, K., & Kwon, K. (2023). Exploring the AI competencies of elementary school teachers in South Korea. Computers and Education: Artificial Intelligence, 4(April), 100137. https://doi.org/10.1016/j.caeai.2023.100137

Murphy, R. F. (2019). Artificial Intelligence Applications to Support K-12 Teachers and Teaching: A Review of Promising Applications, Opportunities, and Challenges. Santa Monica, CA: RAND Corporation. https://doi.org/10.7249/pe315

Nisar, S., & Aslam, M. S. (2023). Is ChatGPT a Good Tool for T&CM Students in Studying Pharmacology? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4324310

Nzaramyimana, E., Mukandayambaje, E., Iyamuremye, L., & Hakizumuremyi, V. (2021). Effectiveness of GeoGebra towards Students’ Active Learning, Performance and Interest to Learn Mathematics. International Journal of Mathematics and Computer Research, 9(10), 2423–2430. https://doi.org/10.47191/ijmcr/v9i10.05

Pangrazio, L., Godhe, A.-L., & Ledesma, A. G. L. (2020). What is digital literacy? A comparative review of publications across three language contexts. E-Learning and Digital Media, 17(6), 442–459. https://doi.org/10.1177/2042753020946291

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

Saputra, E., & Fahrizal, E. (2019). The Development of Mathematics Teaching Materials through Geogebra Software to Improve Learning Independence. Malikussaleh Journal of Mathematics Learning (MJML), 2(2), 39–44. https://doi.org/10.29103/mjml.v2i2.1860

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. Retrieved from https://asianjde.com/ojs/index.php/AsianJDE/article/view/432

Silwana, A., & Qohar, A. (2022). Development of articulate storyline and GeoGebra-Based interactive learning media on the topic of tube surface area. AIP Conference Proceedings, (2566). https://doi.org/10.1063/5.0114340

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. ., … 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. Retrieved from https://www.tempo.co/politik/mendikdasmen-abdul-mu-ti-pendekatan-deep-learning-akan-diterapkan-di-kurikulum-nasional-1188242

Ulyani, O., & Qohar, A. (2021). Development of manipulative media to improve students’ motivation and learning outcomes on the trigonometry topic. AIP Conference Proceedings, 2330(040035). https://doi.org/10.1063/5.0043142

Yeşilyurt, E., & Vezne, R. (2023). Digital literacy, technological literacy, and internet literacy as predictors of attitude toward applying computer-supported education. Education and Information Technologies, 28, 9885–9911. https://doi.org/10.1007/s10639-022-11311-1

Downloads

Published

2025-11-13