AI-Powered Discourse in Mathematics Education in Support of SDG 4: A Systematic Review of Contemporary Research Literature
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References
- Aguirre, J., Herbel‐Eisenmann, B., Celedón‐Pattichis, S., Civil, M., Wilkerson, T., Stephan, M., Pape, S., & Clements, D. H. (2017). Equity within mathematics education research as a political act: Moving from choice to intentional collective professional responsibility. Journal for Research in Mathematics Education, 48(2), 124–147. https://doi.org/10.5951/jresematheduc.48.2.0124
- Akinci, M., Genç, M., Karataş, İ., Çolakoğlu, Ö. M., & Yılmaz, N. (2025). Matematiksel iletişim becerisi ölçeğinin geliştirilmesi [Development of the mathematical communication skills scale]. Journal of Computer and Education Research, 13(25), 575–601. https://doi.org/10.18009/jcer.1623215
- Al-Buraiki, S. (2024). Characteristics of teachers’ classroom discourse in an EFL setting. Studies in English Language Teaching, 12(1), 1. https://doi.org/10.22158/selt.v12n1p1
- Alexander, M., Rushton, S., Dawson, S., & Vakil, S. (2024). AI to AIE: Artificial intelligence to access, inclusion and equity. In J. Morska, A. Rogerson (Eds.). Third Symposium Proceedings. New ways of teaching and learning. Aemilia Hotel, Bologna, Italy. August 6-10, 2024 (pp. 18–22). WTM Verlag. https://doi.org/10.37626/GA9783959872881.0.04
- Alobaidi, O. G., Crockett, K., O’Shea, J. D., & Jarad, T. M. (2015). The application of learning theories into Abdullah: An Intelligent Arabic conversational agent tutor. In Proceedings of the international conference on agents and artificial intelligence (pp. 361–369). SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0005197003610369
- Alsharidah, M. A., & Alkramiti, A. M. (2024). Teachers’ perceptions towards using artificial intelligence in mathematics education. Revista Amazonia Investiga, 13(84), 43–60. https://doi.org/10.34069/AI/2024.84.12.3
- Al-Smadi, O. A. (2017). A theoretical review of classroom discourse. International Journal of Academic Research in Progressive Education and Development, 6(3). https://doi.org/10.6007/IJARPED/v6-i3/3169
- Arugaslan, E. (2025). Examining the relationships between academic intrinsic motivation, online learning self-efficacy, and online student engagement: A study on distance education students. Journal of Computer and Education Research, 13(25), 80–105. https://doi.org/10.18009/jcer.1549186
- Awang, L. A., Yusop, F. D., & Danaee, M. (2025). Current practices and future direction of artificial intelligence in mathematics education: A systematic review. International Electronic Journal of Mathematics Education, 20(2), Article em0823. https://doi.org/10.29333/iejme/16006
- Bimba, A. T., Idris, N., Al-Hunaiyyan, A., Mahmud, R. B., & Shuib, N. L. B. M. (2017). Adaptive feedback in computer-based learning environments: A review. Adaptive Behavior, 25(5), 217–234. https://doi.org/10.1177/1059712317727590
- Brewley-Kennedy, D. N. (2016). The struggles of incorporating equity into practice in a university mathematics methods course. The Mathematics Educator. https://doi.org/10.63301/tme.v0i0.2008
- Bringula, R. P., Basa, R. S., Dela Cruz, C., & Rodrigo, M. M. T. (2016). Effects of prior knowledge in mathematics on learner-interface interactions in a learning-byteaching intelligent tutoring system. Journal of Educational Computing Research, 54(4), 462–482. https://doi.org/10.1177/0735633115622213
- Cao, W. (2023). Study of classroom discourse of English-major interns from the perspective of functional linguistics. Education, Language and Sociology Research, 4(2), 37. https://doi.org/10.22158/elsr.v4n2p37
- Charland, P., Létourneau, A., Deslandes-Martineau, M., Boasen, J., & Léger, P. (2024). Navigating the future of learning: A systematic review of ai-driven intelligent tutoring systems (its) in k-12 education. https://doi.org/10.21203/rs.3.rs-4276591/v1
- Dan, L., Mohamed, H., & Yue, Z. (2023). A review on the effect of integrating AI-based technology into flipped learning. Innovative Teaching and Learning Journal, 7(2), 41–50. https://doi.org/10.11113/itlj.v7.133
- Ferrans, J. (2023). Student comfort levels during political discourse in high school classrooms. Journal of Student Research, 12(3). https://doi.org/10.47611/jsrhs.v12i3.4966
- Güler, A., & Polatgil, M. (2025). Bilişim alanında öğrenim gören öğrencilerin yapay zekâ okuryazarlığı düzeylerinin ölçülmesi [Measuring artificial intelligence literacy levels of students studying in the field of informatics]. Journal of Computer and Education Research, 13(25), 30–53. https://doi.org/10.18009/jcer.1549267.
- Heasly, B., Iliško, D. & Lindner, J. (2025). Editorial: Sustainable initiatives making significant impacts. Discourse and Communication for Sustainable Education, 16(1), 2025. 1-4. https://doi.org/10.2478/dcse-2025-0001
- Hwang, G.-J., & Tu, Y.F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
- Jiang, D., Chen, Y., & Garg, A. (2018). A hybrid method for overlapping speech detection in classroom environment. Computer Applications in Engineering Education, 26(1), 171–180. https://doi.org/10.1002/cae.21855
- Jiménez, S., Juárez‐Ramírez, R., Castillo, V. H., Ramírez‐Noriega, A., & Quezada, Á. (2021). The use of a weighted affective lexicon in a tutoring system to improve student motivation to learn. Expert Systems, 38(5). https://doi.org/10.1111/exsy.12483
- Karabacak, S., & Bilgin, E. A. (2025). Investigation of secondary school students’ and teachers’ opinions on the use of ChatGPT artificial intelligence application in mathematics education. International e-Journal of Educational Studies, 9(19), 121–144. https://doi.org/10.31458/iejes.1562535
- Karacı, A., Piri, Z., İbrahim, H., & Bilgici, G. (2018). Student perceptions of an intelligent tutoring system: A technology acceptance model perspective. International Journal of Computer Applications, 182(22), 31–36. https://doi.org/10.5120/ijca2018918025
- Kaynak, S., Kaynak, B., & Evirgen, H. (2018). Student consultancy service: Prediction of course grades in course selection phases using artificial intelligence techniques. Journal of Computer and Education Research, 6(12), 142–162. https://doi.org/10.18009/jcer.421123
- Kim, B., Koopmanschap, I., Mehrizi, M. H. R., Huysman, M., & Ranschaert, E. (2021). How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis. European Journal of Radiology, 136, Article 109566. https://doi.org/10.1016/j.ejrad.2021.109566
- LaRusso, M. D., Al‐Adeimi, S., Kim, H. Y., Harbaugh, A. G., & O’Connor, C. (2024). Capturing classroom talk with the low- inference discourse observation tool: A validation study. The Journal of Early Adolescence, 44(4), 486–516. https://doi.org/10.1177/02724316231182291
- Li, X., Han, G., Fang, B., & He, J. (2025). Advancing the in-class dialogic quality: Developing an artificial intelligence-supported framework for classroom dialogue Analysis. The Asia-Pacific Education Researcher, 34(1), 495–509. https://doi.org/10.1007/s40299-024-00872-z
- López Chávez, O., Rodríguez, L.-F., Salazar Lugo, G., & Castro, L. A. (2017). Authoring tools and virtual environments in intelligent tutoring systems: Challenges and opportunities. Research in Computing Science, 146(1), 9–16. https://doi.org/10.13053/rcs-146-1-1
- Maity, S., & D eroy, A . ( 2024). Generative AI and its impact on personalized intelligent tutoring systems. https://doi.org/10.35542/osf.io/kawr5
- Maldonado Rodríguez, L. A., Jessup, N., Myers, M., Louie, N., & Chao, T. (2022). A critical lens on cognitively guided instruction: Perspectives from mathematics teacher educators of color. Mathematics Teacher Educator, 10(3), 191–203. https://doi.org/10.5951/MTE.2020.0015
- Mavrikis, M., Schlepps, D. S., & Mubeen, J. (2018) C. Penstein Rosé, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, B. McLaren, B. du Boulay (Eds.). Artificial Intelligence in Education: 19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part II (pp. 452–457). Springer International Publishing. https://doi.org/10.1007/978-3-319-93846-2_85
- Meylani, R. (2024). Artificial intelligence in the education of teachers: A qualitative synthesis of the cutting-edge research literature. Journal of Computer and Education Research, 12(24), 600–637. https://doi.org/10.18009/jcer.1477709
- Meylani, R. (2025a). Gamification and game-based learning in mathematics education for advancing SDG 4: A systematic review and qualitative synthesis of contemporary research literature. Journal of Lifestyle and SDGS Review, 5(2). https://doi.org/10.47172/2965-730X.SDGsReview.v5.n02.pe04567
- Meylani, R. (2025b). A critical glance at technology’s role in mathematics education for a sustainable future: Advancing SDG 4 – Quality education through a systematic review and qualitative synthesis. Journal of Lifestyle and SDGS Review, 5(2). https://doi.org/10.47172/2965-730X.SDGsReview.v5.n02.pe04566
- Meylani, R. (2025c). Discourse in online learning environments: A systematic review of contemporary research literature. Open Access Journal of Education and Language Studies, 3(1). https://doi.org/10.19080/OAJELS.2025.03.555602
- Meylani, R. (2025d). Integration of TI 84 and TI 89 model graphing calculators in mathematics education: Precalculus instruction using the TPACK framework. Journal of Computer and Education Research, 13(25), 254–282. https://doi.org/10.18009/jcer.1589181
- Meylani, R., & Kaplan, R. (2025). Novel approaches for teaching mathematical modeling to preservice teachers: A systematic review. EMTEKA. Jurnal Pendidikan Matematika, 6(1), 505–519. https://doi.org/10.24127/emteka.v6i1.8362
- Meylani, R., Bitter, G., & Legacy, J. (2025). Impacts of professional development and implementation fidelity on online middle school mathematics: A quasiexperimental quantitative study. Turkish Online Journal of Distance Education, 26(2), 90–119. DOI: 10.17718/tojde.1484344.
- Mier, M. R., & Blanco, G. A. B. (2022). Communicative orientation of English language classes. FOSTER, 3(4), 206–223. https://doi.org/10.24256/foster-jelt.v3i4.52
- Na, X. (2023). Algorithms of intelligent language recognition and English discourse analysis based on fisher’s three-dimensional model. https://doi.org/10.21203/rs.3.rs-2445963/v1
- Nugroho, M., Widiastuti, H., Ginanjar, B., & Wirajaya, A. (2020). Realization of various acts on initiation rank: Case Study of Mad’u speech in dialogic Da’wah discourse. In Proceedings of the Proceedings of the Third International Seminar on Recent Language, Literature, and Local Culture Studies, BASA, 20-21 September 2019, Surakarta, Central Java, Indonesia. EAI. https://doi.org/10.4108/eai.20-9-2019.2296897
- Ok, G., Kaya, D., & Kutluca, T. (2025). Artificial intelligence for a sustainable future in the 21st century: Impacts and reflections on education. Discourse and Communication for Sustainable Education, 16(1), 109-136. https://doi.org/10.2478/dcse-2025-0009
- Opesemowo, O. A. G. (2024). Artificial intelligence in mathematics education. In M. Khosrow-Pour, D.B.A. (Ed.). Encyclopedia of information science and technology, Sixth Edition (pp. 1–18). IGI Global. https://doi.org/10.4018/978-1-6684-7366-5.ch084
- Purwandari, J. D. (2021). The roles of the F move and its effect on classroom interaction. Epistema, 2(1), 51–58. https://doi.org/10.21831/ep.v2i1.40512
- Qothrunnada, I., & Maghfiroh, S. U. (2025). Research trend of artificial intelligence application in mathematics education. International Journal of Scientific Research and Management, 13(2), 581–589. https://doi.org/10.18535/ijsrm/v13i02.m01
- Ramasamy, S. A., & Zainal, A. Z. (2023). Facilitating the construction of knowledge collectively through dialogic discourse: Teachers’ perspectives and practices in English language teaching. TEFLIN Journal-A Publication on the Teaching and Learning of English, 34(1), 79. https://doi.org/10.15639/teflinjournal.v34i1/79-96
- Rees, C. (2019). The shift to more dialogic discourse in a classroom transitioning to student-centered science inquiry. In Proceedings of the 2019 AERA Annual Meeting. American Educational Research Association. https://doi.org/10.3102/1441840
- Rees, C. A. B., & Roth, W.-M. (2019). Discourse forms in a classroom transitioning to student-centred scientific inquiry through co-teaching. International Journal of Science Education, 41(5), 586–606. https://doi.org/10.1080/09500693.2019.1571649
- Roos, H. (2023). Exploring ways to design mathematics education promoting inclusion and equity for every student. In K. Koreeda, M. Tsuge, S. Ikuta, E. M. Dalton, L. P. Ewe (Eds.). Building inclusive education in K-12 classrooms and higher education: Theories and principles (pp. 166–181). IGI Global. https://doi.org/10.4018/978-1-6684-7370-2.ch010
- Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123–143. https://doi.org/10.4236/jilsa.2023.154009
- Saimon, M., Mtenzi, F., Lavicza, Z., Fenyvesi, K., Arnold, M., & Diego-Mantecón, J. M. (2024). Applying the 6ème learning by design model to support student teachers to integrate artificial intelligence applications in their classroom. Education and Information Technologies, 29(17), 23937–23954. https://doi.org/10.1007/s10639-024-12795-9
- Shahrill, M., Nurhasanah, F., Ibrahim, S. A., Prahmana, R. C. I., Asamoah, D., Mohammad, H., & Gan, A. L. (2023). Exploring students’ perceptions of private mathematics tutoring in three countries. Infinity Journal, 12(2), 339–358. https://doi.org/10.22460/infinity.v12i2.p339-358
- Sharifuddin, N. S., & Hashim, H. (2024). Benefits and challenges in implementing artificial intelligence in education (AIED) in ESL classroom: A systematic review (2019–2022). International Journal of Academic Research in Business and Social Sciences, 14(1). https://doi.org/10.6007/IJARBSS/v14-i1/20422
- Son, T. (2024). Intelligent tutoring systems in mathematics education: A systematic literature review using the substitution, augmentation, modification, redefinition model. Computers, 13(10), 270. https://doi.org/10.3390/computers13100270
- Song, G., & Cheng, H. (2022). The power of teaching discourse: A case study of the students at West Virginia State University. Modern Languages, Literatures, and Linguistics, 1(1). https://doi.org/10.56968/mlll.v1i01.62
- Spitzer, M. W. H., & Moeller, K. (2023). Performance increases in mathematics during COVID-19 pandemic distance learning in Austria: Evidence from an intelligent tutoring system for mathematics. Trends in Neuroscience and Education, 31, Article 100203. https://doi.org/10.1016/j.tine.2023.100203
- Toscano, R., Gavilán-Izquierdo, J . M ., & S ánchez, V . ( 2019). A s tudy o f p re-service primary teachers’ discourse when solving didactic-mathematical tasks. Eurasia Journal of Mathematics, Science and Technology Education, 15(11). https://doi.org/10.29333/ejmste/108631
- Tural Sönmez, M. (2024). The development of non-formal learning organization skills in preservice math teachers. International e-Journal of Educational Studies, 8(18), 255–266. https://doi.org/10.31458/iejes.1505901
- Viberg, O., Kizilcec, R. F., Wise, A. F., Jivet, I., & Nixon, N. (2024). Advancing equity and inclusion in educational practices with AI-powered educational decision support systems (AI – EDSS). British Journal of Educational Technology, 55(5), 1974–1981. https://doi.org/10.1111/bjet.13507
- Wang, X., Gao, Y., Wang, Q., & Zhang, P. (2025). Fostering engagement in AI‐mediate Chinese EFL classrooms: The role of classroom climate, ai literacy, and resilience. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.12874
- Wille, A. M. (2017). Imaginary dialogues in mathematics education. Journal für Mathematik-Didaktik, 38(1), 29–55. https://doi.org/10.1007/s13138-016-0111-7
- Xatamova, N., & Ashurov, J. (2024). The future of legal English learning: Integrating ai into ESP education. SPAST Reports, 1(7). https://doi.org/10.69848/sreports.v1i7.5081
- Yıldız, T., & Özkök, G. A. (2025). Reliability and validity of Turkish version of the Multidimensional Cognitive Load Scale for virtual environments. Journal of Computer and Education Research, 13(25), 431–453. https://doi.org/10.18009/jcer.1601749
- Zhang, J., & Zhang, Z. (2024). AI in teacher education: Unlocking new dimensions in teaching support, inclusive learning, and digital literacy. Journal of Computer Assisted Learning, 40(4), 1871–1885. https://doi.org/10.1111/jcal.12988
- Zreik, M. (2024). Redefining mathematics education in the age of artificial intelligence (pp. 19–40). https://doi.org/10.4018/979-8-3693-2873-6.ch002
DOI: https://doi.org/10.2478/dcse-2025-0014 | Journal eISSN: 2255-7547
Language: English
Page range: 25 - 43
Published on: Oct 10, 2025
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© 2025 Rusen Meylani, Tamer Kutluca, published by Daugavpils University
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