• Register
  • Login
  • Persian

Research in Teaching

  1. Home
  2. Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education

    Authors

    • میرمعینی mirmoeini 1
    • Nematollah Azizi 2

    1 Doctoral student of Kurdistan University - planning and development of higher education. Iran

    2 Professor of Educational Planning, Department of Educational Sciences, Faculty of Humanities and Social Sciences, University of Kurdistan.

,

Document Type : Research Paper

10.22034/trj.2024.139826.1875
  • Article Information
  • References
  • Download
  • How to cite
  • Statistics
  • Share

Abstract

Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.
Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.
Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.
Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.
Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.
Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.
Learning mathematics is a big challenge for many students. The advancement of artificial intelligence technology creates many opportunities for teaching and learning. The purpose of this research was to obtain a complete picture of artificial intelligence research in mathematics education and the approaches and dimensions of using this technology in mathematics education. The research method was research synthesis (metasynthesis). The statistical population of the research included all works published in this field from 2003 to 2023 in reliable scientific databases and the examined sample included 31 documents that were categorized and organized using MAXQDA18 software. Based on the obtained results, five categories were extracted to answer the question. The results showed that artificial intelligence technologies can be used in new teaching methods, content production, evaluation and communication, and its use in mathematics education requires a comprehensive view and integration of technological knowledge, pedagogy and content.

Keywords

  • Artificial Intelligence"
  • "Artificial Intelligence in Education"
  • "Artificial intelligence in math education"
  • "Research Synthesis

Main Subjects

  • Education and teaching
  • XML
  • PDF 1.2 M
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • CHICAGO
  • VANCOUVER
References
Aleven, V., Mclaren, B. M., Sewall, J., & Koedinger, K. R. (2009). A new paradigm for intelligent tutoring systems: Exampletracing tutors. International Journal of Artificial Intelligence inEducation, 19(2), 105-154.
 
Alizadeh Jamal, m. Shahorani, A. Iranmanesh, A. Tehranian, A. (2019). The effect of mathematics education based on content-pedagogical and technological model (TPACK) on changing teachers' beliefs. Scientific Journal of Education Technology. 143: 591-602.[in Persian]
 
Arnau, D., Arevalillo-Herráez, M., Puig, L., & González-Calero, J. A. (2013). Fundamentals of the design and the operation of an intelligent tutoring system for the learning of the arithmetical andalgebraic way of solving word problems. Computers & Education, 63, 119-130. http://dx.doi.org/10.1016/j.compedu.2012.11.020
Baran, E., Canbazoglu Bilici, S., Albayrak Sari, A., & Tondeur, J. (2019). Investigating the impact of teacher education strategies on preservice teachers' TPACK. British Journal of Educational Technology, 50(1), 357-370
Balacheff, N. (1993). Artificial Intelligence and Mathematics Education: Expectations and Questions. 14th Biennal of the AAMT (pp.1-24). Perth Curtin Univ.
Bench, S., & Day, T. (2010). The user experience of critical care discharge: a meta-synthesis of qualitative research. International journal of nursing studies, 47(4), 487-499.
Bray, A., Tangney, B. (2017). Technology usage in mathematics education research—A systematic review of recent trends. Computers & Education. https://doi.org/10.1016/j.compedu.2017.07.004
Cabada, R. Z., Estrada, M. L. B., Beltr'n, J. A., Cibrian, R., García, C. A. R., & Pérez, Y. H. (2012, July). Fermat: merging affective tutoring systems with learning social networks. In Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on (pp. 337-339) IEEE. Retrieved from: http://dx.doi.org/10.1109/ICALT.2012.140
Garrido, A. (2012). AI and Mathematical Education. Education, 2, 22-32;  https://doi.org/10.3390/educ2010022
Carr, A. (2018). AI in Education Artificial intelligence can transform education, but a measured and realistic approach is needed. (2023, July, 1). Retrieved from: https://www.mobiusconsultants.com/
Casler-Failing, S.L. (2021). Learning to teach mathematics with robots: Developing the ‘t’ in technological pedagogical content knowledge. Research in Learning Technology, 29. https://doi.org/10.25304/rlt.v29.2555
 Chassignol, M.,  Khoroshavin, A., Klimova, A., & Bilyatdinova, (2018). Artificial Intelligence trends in education: a narrative overview.   Procedia Computer Science, 136, 16–24. Retrieved From  http://www.sciencedirect.com  
Chalmers, I., Hedges, L. V., & Cooper, H. (2002). A brief history of research synthesis. Evaluation & the health professions, 25(1), 12-37.
Chen, C.J., & Liu, P.L. (2007). Personalized computer-assisted mathematics problem-solving program and its impact on Taiwanese students. J. Comput. Math. Sci. Teach, 26, 105–121.
Chen, S. H., Jakeman, A. J., & Norton, J. P. (2008). Artificial intelligence techniques: an introduction to their use for modelling environmental systems. Mathematics and Computers in Simulation, 78(2), 379-400. http://dx.doi.org/10.1016/j.matcom.2008.01.028
Chen, X., Xie, H., Zou, D., & Hwang, G.J. (2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Comput.Educ. Artif. Intell, 1, 100002. https://doi.org/10.1016/j.caeai.2020.100002
Craig, S. D., Hu, X., Graesser, A. C., Bargagliotti, A. E., Sterbinsky, A., Cheney, K. R., & Okwumabua, T. (2013). The impact of a technology-based mathematics after-school program using ALEKS on student's knowledge and behaviors. Computers & Education, 68, 495-504. http://dx.doi.org/10.1016/j.compedu.2013.06.010
 Dai, P., Ke, F., Pan, Y., & Liu, Y. (2023). Exploring students’ learning support use in digital game-based math learning: A mixed-methods approach using machine learning and multi-cases study. Computers & Education, 194. https://doi.org/10.1016/j.compedu.2022.104698
Deo, R. C., Yaseen, Z. M., Ansari. N., Nguyen-huy, T., Langland's, T. A. M., & Gallgan, L. (2020). Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. IEEE Access, DOI: 10.1109/ACCESS.2020.301093
Department of Basic Sciences. (2015). Curriculum of the course: continuous bachelor's degree, mathematics education of Farhangian University. Tehran: Ministry of Science, Research and Technology. .[in Persian]
Ferman, B., Lima, L., & Riva, F. (2021). Articial Intelligence, Teacher Tasks and Individualized Pedagogy. (2023, July, 12). Retrieved from  https://www.povertyactionlab.org/
Gadanidis, G. (2017). "Artificial intelligence, computational thinking, and  mathematics education", International Journal of Information and Learning Technology, 34 (2), 133-139. https://doi.org/10.1108/IJILT-09-2016-0048
Graff, M., Mayer, P., & Lebens, M. (2008). Evaluating a web based intelligent tutoring system for mathematics at German lower secondary schools. Education and Information Technologies, 13(3), 221-230. http://dx.doi.org/10.1007/s10639-008-9062-z
Greene, T. (2017). A glossary of basic artificial intelligence terms and      concepts. (2023, July, 12). Retrieved from   https://thenextweb.com/news/glossary-basic-artificial-intelligence-terms-concepts
Gulson, K. N., Murphie, A., Taylor, S., & Sellar, S. (2018). Education, work and Australian society in an AI world. A review of research literature and policy recommendations. (Research Report). Sydney: Gonski Institute for Education, UNSW.
Harper, F., Stumbo, Z., & Kim, N. (2021). When Robots invade the neighborhood: Learning to teach prek-5 mathematics leveraging both technology and community knowledge. Contemporary Issues in Technology and Teacher Education, 21(1), 19-52.
Holmes, W., Maya, B., & Charles, F. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching & Learning. Boston, MA: The Center for Curriculum Redesign0. Retrieved from      http://bit.ly/AIED-BOOK
Hsieh, H.-F., & Shannon, S.E. (2005). Three approaches to qualitative content analysis. Qualitative health research, 15(9), 1277-1288
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, 584. https://doi.org/10.3390/math9060584
Karsenti, T. (2019). Artificial intelligence in education: The urgent need to prepare teachers for tomorrow’s schools. Formation et profession, 27(1), 105-111. http://dx.doi.org/10.18162/fp.2018.a166
Keles, A., Ocak, R., Kele!, A., & Gülcü, A. (2009). ZOSMAT: Web-based intelligent tutoring system for teaching–learning process. Expert Systems with Applications, 36(2), 1229-1239. http://dx.doi.org/10.1016/j.eswa.2007.11.064
Knill, O., Carlsson, J., Chi, A., & Lezama, M. (2004). An artificial intelligence experiment in college math education. (2023, July, 9). Retrieved from https://www.researchgate.net/publication/254745457_An_artificial_intelligence_experiment_in_college_math_education
Lee, J. (2001). A grounded theory: Integration and internalization in ERP adoption and use. ETD collection for University of Nebraska - Lincoln. AAI3016318. Retrieved from
https://digitalcommons.unl.edu/dissertations/AAI3016318
Lorenz,U. Romeike,R. (2023). AI-PACK – Ein Rahmen für KI-bezogene Digitalkompetenzen von Lehrkrنften auf Basis von DPACK. Retrieved from https://www.researchgate.net/publication/374350289
 
Luckin, R., & Holmes, W. (2016). Intelligence Unleashed: An argument for AI in Education. UCL Knowledge Lab: London, UK. Retrieved From https://discovery.ucl.ac.uk/id/eprint/1475756/
McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174–1182.
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
Murphy, R. F. (2019). Artificial Intelligence Applications to Support K–12 Teachers and Teaching A Review of Promising Applications, Opportunities, and Challenges. Perspective , https://doi.org/10.7249/PE315
Orhani, s. (2022).  Artificial Intelligence in Teaching and Learning Mathematics. Kosovo Educational Research Journal, 2(3), 29-38. https://orcid.org/0000-0003-3965-0791
Pappas, M. A., & Drigas, A. S. (2016). Incorporation of Artificial Intelligence Tutoring Techniques in Mathematics. International Journal of Engineering Pedagogy (iJEP), 6(4), 12–16. https://doi.org/10.3991/ijep.v6i4.6063
Park, S. (2021). AI education perception of pre-service teachers according to AI learning experience, Interest in AI education, and Major. Journal of The Korean Association of Information Education, 25(1), 103-111.
Rau, M. A., Aleven, V., & Rummel, N. (2011). How to Schedule Multiple Graphical Representations? A Classroom Experiment with an Intelligent Tutoring System for Fractions. Society for Research on Educational Effectiveness. Retrieved from https://repository.isls.org//handle/1/2244
Saini, M., Shlonsky, A. (2012). Systematic synthesis of qualitative research. OUP USA. Retrieved From https://doi.org/10.1093/acprof:oso/9780195387216.001.0001
Sandelowski, M., & Barroso, J. (٢٠٠٧). Handbook for synthesizing qualitative research. New York, NY: Springer
 
Seldon, A,. & Abidoye, o. (2018). The Forth Education: will artificial intelligence liberate or infantilise humanity. Legend Press, University of Buckingham press.
Searson, M. Langran, E., Trumble J. (Eds). (2024). Exploring new horizons: Generative artificial intelligence and teacher education. Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/223928/
 
Shu, X., & Gu, X. (2023). An Empirical Study of a Smart Education Model Enabled by the Edu-Metaverse to Enhance Better Learning Outcomes for Students. Systems, 11, 75.  https://doi.org/10.3390/systems11020075
Sikstr¨om, P., Valentini, C., Sivunen, A., & K¨arkk¨ainen, T. (2022).  How pedagogical agents communicate with students: A two-phase systematic review. Computers & Education, 188 , 104564.  Retrieved from www.elsevier.com/locate/compedu
Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., McGuire, J., & Smithers, K. (2019). Artificial intelligence and emerging technologies (virtual, augmented and mixed reality) in schools: A research report. Newcastle: University of Newcastle, Australia.
Sohrabi, B., Azami, A., & Yazdani, H. (2011). The pathology of Islamic management research with synthesis approach. The Perspective of Public Administration,2(6).
Su, J., & Yang, W. (2023). Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education, 20965311231168423
Taguma, M., Feron, E., & Hwee, M. (2018). Future of Education and Skills 2030: Conceptual Learning Framework Education and AI: preparing for the future & AI, Attitudes and Values.  8th Informal Working Group (IWG) Meeti  29-31 October 2018 OECD Conference Centre, Paris, France.
Thomas, J., & Harden, A. (٢٠٠٨). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC medical research methodology, ٨(١), ٤٥. https://doi.org/١٠٫١١٨٦/١٤٧١-٢٢٨٨-٨-٤٥
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the future, Eds. Cabrera, M., Vuorikari, R & Punie, Y., EUR 29442 EN, Publications Office of the European Union, Luxembourg. https://doi.org/10.2760/12297, JRC113226.
Tuomi, I. (2020). Research for CULT Committee -The use of Artificial Intelligence (AI) in education. Policy Department for Structural and Cohesion Policies. From  www.europarl.europa.eu/supporting-analyses
Turbot, S. (2018). Artificial intelligence in education: don’t ignore it, harness it!. (2023, July, 4). Retrieved from https://www.forbes.com/sites/sebastienturbot/2017/08/22/artificial-intelligence-virtual-reality-education/
UNESCO. (2021). Artificial Intelligence and Education: Guidance for policy. Makers.Paris: UNESCO
Voskoglou, M. G. (2011). Fuzzy logic and uncertainty in mathematics education. International Journal of Applications of Fuzzy  Sets and Artificial Intelligence, 1, 45-64.
Voskoglou, M. G., & Salem, A.-B. M. (2020). Benefits and limitations of the artificial with respect to the traditional learning of mathematics. Mathematics, 8(4), 611. https://doi.org/10.3390/math8040611
Waalkens, M., Aleven, V., & Taatgen, N. (2013). Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems. Computers & Education, 60(1), 159-171. http://dx.doi.org/10.1016/j.compedu.2012.07.016
Walker, E., Rummel, N., & Koedinger, K. R. (2009). Integrating collaboration and intelligent tutoring data in the evaluation of a reciprocal peer tutoring environment. Research and Practice in Technology Enhanced Learning, 4(03), 221-251. http://dx.doi.org/10.1142/S179320680900074
Wang, L., & Wang, J. (2020). Research on Educational Evaluation in the Era of Artificial Intelligence. International Journal of Frontiers in Sociology, 2(3), 40-49. http://dx.doi.org/10.25236/IJFS.2020.020305
Wu, R. (2021). Visualization of basic mathematics teaching based on artificial intelligence. Journal of Physics: Conference Series, 1992(1), 042042. https://doi.org/10.1088/1742-6596/1992/4/042042
Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence, 3, 100061.
Yang, J.H., 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
Zhang, L., Fu, H. L., & Wan, N. (2018). Research on the Application of AHP and Fuzzy Comprehensive Evaluation of Teaching Quality in Basic Mathematics Classroom. Creative Education,9,  2615-2626. https://doi.org/10.4236/ce.2018.915197
    • Article View: 60
    • PDF Download: 21
Research in Teaching
Volume 12, Issue 3 - Serial Number 37
October 2024
Pages 256-284
Files
  • XML
  • PDF 1.2 M
Share
How to cite
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • CHICAGO
  • VANCOUVER
Statistics
  • Article View: 60
  • PDF Download: 21

APA

mirmoeini, م. and Azizi, N. (2024). Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education. Research in Teaching, 12(3), 256-284. doi: 10.22034/trj.2024.139826.1875

MLA

mirmoeini, م. , and Azizi, N. . "Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education", Research in Teaching, 12, 3, 2024, 256-284. doi: 10.22034/trj.2024.139826.1875

HARVARD

mirmoeini, م., Azizi, N. (2024). 'Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education', Research in Teaching, 12(3), pp. 256-284. doi: 10.22034/trj.2024.139826.1875

CHICAGO

م. mirmoeini and N. Azizi, "Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education," Research in Teaching, 12 3 (2024): 256-284, doi: 10.22034/trj.2024.139826.1875

VANCOUVER

mirmoeini, م., Azizi, N. Synthesis of research on the application of artificial intelligence technologies in the education of students in the field of mathematics education. Research in Teaching, 2024; 12(3): 256-284. doi: 10.22034/trj.2024.139826.1875

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Sitemap

News

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

© Journal management system. designed by sinaweb