Bibliometrics Analysis of AI Integration in Mathematics Teaching
DOI:
https://doi.org/10.31980/mosharafa.v13i2.1699Keywords:
Artificial Intelligence, Mathematics Teaching, Bibliometrics, Kecerdasan Buatan, Pengajaran Matematika, BibliometrikAbstract
Studi literatur ini bertujuan untuk menganalisis tren penelitian dengan menggunakan analisis bibliometrik yang terkait dengan Kecerdasan Buatan (AI) dalam pengajaran matematika. Pentingnya AI dalam pengajaran matematika tidak sesuai dengan banyaknya penelitian tentang hal tersebut. Sehingga penelitian ini disusun dengan tujuan untuk mengidentifikasi penelitian berkaitan dengan integrasi AI dalam pengajaran matematika selama 10 tahun terakhir. Kata kunci yang digunakan untuk mengumpulkan artikel adalah “artificial intelligence” dan “mathematics teaching” dan diperoleh 460 dokumen di database scopus. Penelitian ini dilakukan dengan membatasi jumlah dokumen tergantung pada tahun, bahasa, dan jenis artikel. Batas tahun pada tahun 2014 hingga 2024, bahasa dibatasi hanya bahasa Inggris, dan dokumen dibatasi hanya pada jenis artikel. Jumlah dokumen dalam dekade terakhir meningkat dari 6 dokumen menjadi 26 dokumen. Zhongda Sun, yang berkecimpung dalam kecerdasan komputer, adalah penulis yang paling banyak dikutip. Negara paling produktif adalah Tiongkok yang menyalip jumlah publikasi Australia pada tahun 2021. Kecerdasan buatan dalam pengajaran matematika populer dalam ilmu sosial dan ilmu komputer dengan topik yang paling populer adalah siswa, kecerdasan buatan, dan guru.
This literature study aims to analyze research trends by using bibliometrics analysis that related to Artificial Intelligence (AI) in mathematics teaching. The impact of AI in mathematics teaching did not match to the number of mathematics teaching research. So, this bibliometric study conducted in order to identify AI integration in mathematics teaching in last decade. Article gathered by two keywords, which are “artificial intelligence” and “mathematics teaching”and found 460 documents in scopus database. This study conducted by limiting the number of documents depend on years, language, and article type. The years limit in 2014 to 2024, languages limit to english only, and the documents limit to article type only. The number of documents in the last decade is increasing from 6 documents into 26 documents. Zhongda Sun, that concern in computer intelligence, is the most cited author. The most productive country was China that overtake Australia’s number of publications in 2021. Artificial intelligence in mathematics teaching was popular in social science and computer science and the most popular topics are students, artificial intelligence, and teacher.
References
Almasri, F. (2024). Exploring the Impact of Artificial Intelligence in Teaching and Learning of Science: A Systematic Review of Empirical Research. Res Sci Educ 54, 977–997 (2024). https://doi.org/10.1007/s11165-024-10176-3
Alonso-Diaz, S. (2024). A human-like artificial intelligence for mathematics. Mind and Society, 23, 79-97. https://doi.org/10.1007/s11299-024-00304-x
Barrón Estrada, M. L., Zatarain Cabada, R., Aranda-Ortega, M., Gómez-Pérez, H. E., & Mejía-Arredondo, J. (2014). An Intelligent, Affective and Configurable Tutor for 3rd Grade Natural Numbers Teaching. Research in Computing Science, 87(1), 35–41. https://doi.org/10.13053/rcs-87-1-4
Borba, M. C., Petek Askar, ·, Engelbrecht, J., Gadanidis, G., Llinares, S., Mario, ·, & Aguilar, S. (2016). Blended learning, e-learning and mobile learning in mathematics education. ZDM Mathematics Education, 48, 589–610. https://doi.org/10.1007/s11858-016-0798-4
Cabada, R. Z., Estrada, M. L. B., Hernández, F. G., & Bustillos, R. O. (2014). Intelligent tutoring system with affective learning for mathematics. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science, vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_43
Chen, C. H., & Chang, C. L. (2024). Effectiveness of AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. Education and Information Technologies, 29, 18621-18642. https://doi.org/10.1007/s10639-024-12553-x
Deo, R. C., Yaseen, Z. M., Al-Ansari, N., Nguyen-Huy, T., Langlands, T. A. M. P., & Galligan, L. (2020). Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. IEEE Access, 8, 136697–136724. https://doi.org/10.1109/ACCESS.2020.3010938
Dewi, R. P., & Afriansyah, E. A. (2022). Pembelajaran Matematika Berbasis Aplikasi Google Classroom pada Materi Bangun Ruang Sisi Datar. Plusminus: Jurnal Pendidikan Matematika, 2(1), 39-52.
Guo, S., Zheng, Y., & Zhai, X. (2024). Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis. Education and Information Technologies, 29, 16387-16409. https://doi.org/10.1007/s10639-024-12491-8
Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. In Mathematic, 9(6).
https://doi.org/10.3390/math9060584
Ocumpaugh, J., Roscoe, R. D., Baker, R. S., Hutt, S., & Aguilar, S. J. (2024). Toward Asset-based Instruction and Assessment in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00382-x
Prahani, B. K., Rizki, I. A., Suprapto, N., Irwanto, I., & Kurtuluş, M. A. (2024). Mapping research on scientific creativity: A bibliometric review of the literature in the last 20 years. Thinking Skills and Creativity, 52. https://doi.org/10.1016/j.tsc.2024.101495
Saputro, T. V. D., Purnasari, P. D., Lumbantobing, W. L., & Sadewo, Y. D. (2024). Augmented Reality for Mathematics Learning: Could We Implement It in Elementary School?. Mosharafa: Jurnal Pendidikan Matematika, 13(1), 163-174.
Shin, D. (2020). Artificial Intelligence in Primary and Secondary Education: A Systematic Review. The Korean Society of Educational Studies in Mathematics - Journal of Educational Research in Mathematics, 30(3), 531–552. https://doi.org/10.29275/JERM.2020.08.30.3.531
Sun, J., Ma, H., Zeng, Y., Han, D., & Jin, Y. (2023). Promoting the AI teaching competency of K-12 computer science teachers: A TPACK-based professional development approach. Education and Information Technologies, 28(2), 1509–1533. https://doi.org/10.1007/s10639-022-11256-5
Suprapto, N., Kholik, A., Yang, F.-Y., Hakim, S. R., Agusti, R. R. H. P., Hidaayatullaah, H. N., & Nisa’, K. (2024). The use of eye movement technology in education : a review and bibliometric study. Multidisciplinary Reviews, 7(9).
Tarkar, P. (2020). Impact of COVID-19 pandemic on education system. International Journal of Advanced Science and Technology, 29(9), 3812–3814.
Vintere, A., Safiulina, E., & Panova, O. (2024). AI-Based Mathematics Learning Platforms In Undergraduate Engineering Studies: Analyses Of User Experiences. Engineering for Rural Development, 23, 1042–1047. https://doi.org/10.22616/ERDev.2024.23.TF216
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2 - The Digital Competence Framework for Citizens. Publications Office of the European Union. https://doi.org/10.2760/115376
Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7). https://doi.org/10.29333/ejmste/13272
Wardat, Y., Tashtoush, M. A., AlAli, R., & Saleh, S. (2024). Artificial Intelligence in Education: Mathematics Teachers’ Perspectives, Practices and Challenges. Iraqi Journal for Computer Science and Mathematics, 5(1), 60–77. https://doi.org/10.52866/ijcsm.2024.05.01.004
Warsito, Siregar, N. C., Gumilar, A., & Rosli, R. (2023). STEM for the 21st Century: Building a Stronger Workforce for the Digital Age. Mosharafa: Jurnal Pendidikan Matematika, 12(4), 879-894.
Widyatama, A., & Pratama, F. W. (2022). Pengembangan Mobile Learning PINTHIR Berbasis Android sebagai Sumber Belajar dan Sarana Mengerjakan Soal Trigonometri SMA. Mosharafa: Jurnal Pendidikan Matematika, 11(1), 25-36.
Xu, W., Wu, J., & Cao, L. (2020). COVID-19 pandemic in China: Context, experience and lessons. Health Policy and Technology, 9(4), 639–648. https://doi.org/10.1016/j.hlpt.2020.08.006
Yang, Z. (2024). Empowering Teaching and Learning with Artificial Intelligence. Front. Digit. Educ, 2024(1), 1–3. https://doi.org/10.3868/s110-009-024-0002-5
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J. B., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. In Complexity, 2021(1).
https://doi.org/10.1155/2021/8812542
Zheng, L., Niu, J., Zhong, L., & Gyasi, J. F. (2023). The effectiveness of artificial intelligence on learning achievement and learning perception: A meta-analysis. Interactive Learning Environments, 31(9), 5650–5664. https://doi.org/10.1080/10494820.2021.2015693
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