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Coding the Equation: Unraveling the Dynamics between AI-Driven Mathematics Instruction and Student Anxiety in High Schools

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  • Additional Information
    • Publication Date:
      2025
    • Collection:
      VIVO: Figshare
    • Abstract:
      The study aimed to investigate the relationship between the level of female mathematics teachers' use of artificial intelligence applications and their students' mathematics anxiety. A descriptive approach was employed, where a questionnaire was distributed to 76 mathematics teachers in secondary education in Kuwait, and a mathematics anxiety scale was administered to 361 female students at the secondary level. The results indicated that the level of mathematics teachers' use of artificial intelligence applications was moderate (Mean = 1.994). Similarly, students' mathematics anxiety was also at a moderate level (Mean = 2.836). The study's findings suggested no significant relationship between teachers' use of artificial intelligence applications and their students' mathematics anxiety. The study recommends providing mathematics teachers with a guide for using artificial intelligence applications and intensifying training courses in the field of artificial intelligence in mathematics education, enabling teachers to better incorporate these applications into their lessons.
    • Accession Number:
      10.6084/m9.figshare.29987203.v1
    • Online Access:
      https://doi.org/10.6084/m9.figshare.29987203.v1
      https://figshare.com/articles/journal_contribution/Coding_the_Equation_Unraveling_the_Dynamics_between_AI-Driven_Mathematics_Instruction_and_Student_Anxiety_in_High_Schools/29987203
    • Rights:
      CC BY 4.0
    • Accession Number:
      edsbas.784B6E86