Development of Artificial Intelligence Numeracy (AIra) Learning Media in Mathematics Learning with a Deep Learning Approach to Improve Students' Numeracy Skills
Keywords:
Development, Learning Media, Artificial Intelligence, Deep Learning Approach, Numeracy Skills.
Abstract
Numeracy competence is an important life skill, supporting mathematical problem-solving and everyday life (OECD, 2016). In Indonesia, many students still struggle with non-routine math problems or numeracy problems. This study aims to develop an artificial intelligence-based learning application called "AIra" and test its validity, practicality, and effectiveness in improving junior high school students' numeracy skills. The method used isResearch and Developmentwith modelSoftware Development Life Cycle(SDLC) through a prototyping approach, including needs analysis, prototype design, expert assessment, development, and testing. The application was assessed by material and media experts, tested for practicality on 15 students, and tested for effectiveness on 30 eighth-grade students using a pretest-posttest design. Data analysis used a normality test.Shapiro-Wilk And uji Paired Samples t-Test. The results showed that AIra has high validity: the average score of material experts was 89.375 ("Very Valid") and media experts was 78.33 ("Valid"). The application proved to be practical (average score of 79.70) and highly effective, with students' scores increasing from 43.65 (pretest) to 81.28 (posttest), as well as a statistically significant difference (Say. 0.000 < 0.05). Thus, AIra is proven to be valid, practical, and effective as a numeracy learning medium, while also positioning artificial intelligence as an innovative solution in revolutionizing the process.
References
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Nurmawanti, I., Hidayati, V. R., Putri, H. R., & Sari, M. A. P. (2023). Kemampuan numerasi and newman procedure: Analisis kesalahan mahasiswa calon guru sd dalam menyelesaikan masalah matematika. Jurnal Lebesgue. https://doi.org/10.46306/lb.v4i3.465.
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Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1–14. https://doi.org/10.1186/s40561-019-0089-y
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Ameer, I. S., & Singh, P. (2013). Exploring grade levels and gender differences in numeracy thinking among secondary school students. Procedia - Social and Behavioral Sciences, 90, 187-195. https://doi.org/10.1016/j.sbspro.2013.07.081.
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 17(1), 1–30. https://doi.org/10.1186/s41239-019-0176-8.
Cahyadi, M. R., Cholily, Y. M., & Syaifuddin, M. (2023). Pengembangan aplikasi modul dan evaluasi mandiri berorientasi numerasi. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(1), 11–22.
Chai, C. S., Lin, P. Y., Jong, M. S. Y., Dai, Y., Chiu, T. K., & Qin, J. (2021). Perceptions of and behavioral intentions towards learning artificial intelligence in primary school students. Educational Technology & Society, 24(3), 89–101.
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.
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Educational Technology & Society, 23(1), 1–14.
Chiu, T. K. (2021). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(sup1), S14–S30. https://doi.org/10.1080/15391523.2021.1891998.
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118.
Crompton, H., & Burke, D. (2018). The use of mobile learning in mathematical education: A systematic review of journal publications. Educational Studies in Mathematics, 94(1), 15–30. https://doi.org/10.1007/s10649-018-9835-x.
Farman, F., & Chairuddin, C. (2020). Pengembangan media e-learning berbasis Edmodo pada materi teorema Pythagoras. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(4), 872–882. https://doi.org/10.24127/ajpm.v9i4.3114
Geiger, V., Goos, M., & Forgasz, H. (2015). A rich interpretation of numeracy for the 21st century: A survey of the state of the field. ZDM Mathematics Education, 47(4), 531–548. https://doi.org/10.1007/s11858-015-0708-1.
Gravemeijer, K., Stephan, M., Julie, C., Lin, F. L., & Ohtani, M. (2017). What mathematics education may prepare students for in the society of the future? International Journal of Science and Mathematics Education, 15(1), 105–123. https://doi.org/10.1007/s10763-017-9814-6.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://doi.org/10.58863/20.500.12424/4276068
Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Computers and Education: Artificial Intelligence, 3, 100048. https://doi.org/10.1016/j.caeai.2022.100048
Kukulska-Hulme, A. (2021). Mobile learning: The time is now. Education Sciences, 11(6), 283. https://doi.org/10.3390/educsci11060283
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42–78. https://doi.org/10.3102/0034654315581420
Logistica, R. S. A., & Awalludin, S. A. (2024). Analysis of students’ errors in solving literacy and numeracy problems: A newman procedure approach. Mapan, 12(1), 47–63. https://doi.org/10.24252/mapan.2024v12n1a4
Luan, H., & Tsai, C. C. (2021). A review of using machine learning approaches for precision education. Educational Technology & Society, 24(1), 250–266.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Lu’luilmaknun, U., & Wutsqa Urwatul, D. (2018). Efektivitas media e-learning dengan metode guided discovery ditinjau dari kemandirian belajar matematika siswa. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 7, 413–424.
Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press. https://doi.org/10.1017/9781316941355
Nurmawanti, I., Hidayati, V. R., Putri, H. R., & Sari, M. A. P. (2023). Kemampuan numerasi and newman procedure: Analisis kesalahan mahasiswa calon guru sd dalam menyelesaikan masalah matematika. Jurnal Lebesgue. https://doi.org/10.46306/lb.v4i3.465.
OECD. (2016). Assessing scientific, reading and mathematical literacy: A framework for PISA 2015. OECD Publishing.
OECD. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. OECD Publishing.
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1–14. https://doi.org/10.1186/s40561-019-0089-y
Plass, J. L., Homer, B. D., & Kinzer, C. K. (2015). Foundations of game-based learning. Educational Psychologist, 50(4), 258–283. https://doi.org/10.1080/00461520.2015.1122533
Putra, A. L. T., & Mukhtar, D. (2022). The numerical-literacy skill reviewed from adversity quotient on video-assisted based learning on western sumatera culture. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 11(4), 3315–3322. https://doi.org/10.24127/ajpm.v11i4.6131
Richey, R. C., & Klein, J. D. (2014). Design and development research: Methods, strategies, and issues. Routledge.
Sulaiman, R., Siregar, B. H., Sihombing, T. V., Purba, F., Tarigan, N. C. W., Hutapea, Y., & Dhuha, N. K. (2024). Analisis kesalahan dalam penyelesaian soal SPLDV: Studi pada literasi numerasi siswa kelas X SMA. Journal of Education Research, 5(4), 5940–5947. https://doi.org/10.37985/jer.v5i4.1924.
Sutarna, N., Zaenal, R. M., & Manan, N. A. (2021). The effectiveness of e-learning based learning models to improve primary school students’ numeracy ability during the Covid-19 pandemic. AIP Conference Proceedings, 2438. https://doi.org/10.1063/5.0071603.
Valério, M., & Ferrara, S. (2022). Numeracy at the dawn of writing: Mesopotamia and beyond. Historia Mathematica, 59, 35–53. https://doi.org/10.1016/j.hm.2020.08.002.
Winarni, S., Kumalasari, A., Marlina, M., & Rohati, R. (2021). ). Efektivitas video pembelajaran matematika untuk mendukung kemampuan literasi numerasi dan digital siswa. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 10(2), 574–583. https://doi.org/10.24127/ajpm.v10i2.3345.
Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research. Frontiers in Psychology, 10, 3087. https://doi.org/10.3389/fpsyg.2019.03087.
Yang, S. J., Ogata, H., Matsui, T., & Chen, N. S. (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence, 2, 100008. https://doi.org/10.1016/j.caeai.2021.100008.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0.
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., & Spector, J. M. (2021). A review of Artificial Intelligence (AI) in education from 2010 to 2020. Complexity, 2021, 1–18. https://doi.org/10.1155/2021/8812542.
Published
2026-08-28
How to Cite
Yusritawati, I., Nasrulloh, S. F., & Heriyana, T. (2026). Development of Artificial Intelligence Numeracy (AIra) Learning Media in Mathematics Learning with a Deep Learning Approach to Improve Students’ Numeracy Skills . International Journal of Education, Vocational and Social Science , 5(03), 8972-8996. https://doi.org/10.63922/ijevss.v5i03.6286
Contact Person +6282139474255
Email : ijevss@citakonsultindo.or.id / editor.ijevss@gmail.com
