Artificial Intelligence in Mathematics Education: A Systematic Literature Review

Autor/inn/en	Mohamed, Mohamed Zulhilmi bin; Hidayat, Riyan; Suhaizi, Nurain Nabilah binti; Sabri, Norhafiza binti Mat; Mahmud, Muhamad Khairul Hakim bin; Baharuddin, Siti Nurshafikah binti
Titel	Artificial Intelligence in Mathematics Education: A Systematic Literature Review
Quelle	In: International Electronic Journal of Mathematics Education, 17 (2022) 3, (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Mohamed, Mohamed Zulhilmi bin) ORCID (Hidayat, Riyan) ORCID (Suhaizi, Nurain Nabilah binti) ORCID (Sabri, Norhafiza binti Mat) ORCID (Mahmud, Muhamad Khairul Hakim bin) ORCID (Baharuddin, Siti Nurshafikah binti)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Artificial Intelligence; Mathematics Instruction; Meta Analysis; Databases; Teaching Methods; Research Reports; Learning Processes; Robotics; Intelligent Tutoring Systems; Classification; Instructional Effectiveness; Elementary Secondary Education; Integrated Learning Systems; Foreign Countries + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Mathematics lessons; Mathematikunterricht; Meta-analysis; Metaanalyse; Datenbank; Teaching method; Lehrmethode; Unterrichtsmethode; Research report; Forschungsbericht; Learning process; Lernprozess; Robotertechnik; Intelligentes Tutorsystem; Classification system; Klassifikation; Klassifikationssystem; Unterrichtserfolg; Ausland
Abstract	The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic literature review (SLR) was conducted using established and robust guidelines. We follow the preferred reporting items for systematic reviews and meta-analyses (PRISMA). We searched ScienceDirect, Scopus, Springer Link, ProQuest, and EBSCO Host for 20 AI studies published between 2017 and 2021. The findings of the SLR indicate that AI approach used in mathematics education forthe samples studied were through robotics, systems, tools, teachable agent, autonomous agent, and a comprehensive approach. Then, it can be shown that the majority of the collected studies were carried out in the USA and Mexico. The analysis revealed that most of the reviewed studies used quantitative research methods. The types of themes for AI in mathematics education were categorized into advantages and disadvantages, conceptual understanding, factors, role, idea suggestion, strategies and effectiveness. (As Provided).
Anmerkungen	International Electronic Journal of Mathematics Education. Suite 124, Challenge House 616 Mitcham Road, CR0 3AA, Croydon, London, UK. Tel: +44-208-936-7681; e-mail: iejme@iejme.com; Web site: https://www.iejme.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01