Applications of Artificial Intelligence (AI) among Active Learning Strategies to Enhance Geometrical Thinking Competencies among Secondary Students

المؤلفون

  • Shymaa Shaker Jumaa المؤلف

DOI:

https://doi.org/10.59992/IJSR.2026.v5n5p20

الكلمات المفتاحية:

Active Learning Strategies، Artificial Intelligence Applications، Geometric Thinking، Secondary School Students

الملخص

This research evaluates the development of Geometric thinking competencies of secondary students for (85) students in the Education Directorate of "Baghdad/ Karkh – III" for the academic year (2024/2025). This was achieved by training them on an educational unit based on active learning strategies and artificial intelligence (AI) applications, as well as preparing a test for geometric thinking competencies according to the skills of (visualization, analysis, inference, understanding relationships, and creativity and innovation) and monitoring their responses to a test in geometric thinking competencies, The test was constructed by the researcher based on "Van Hiele's hierarchical framework" of Geometric thinking, in addition to verifying its psychometric properties. The results classified students within the defined geometric thinking competencies, and also showed that applying the educational unit according to active learning strategies and artificial intelligence (AI) applications had an impact. The researcher recommended redesigning Geometry units in light of the teaching and learning model proposed by "Van Hiele Framework" including its descriptive and inferential skills, and studying the impact on the development of geometric thinking levels among students.

السيرة الشخصية للمؤلف

  • Shymaa Shaker Jumaa

    College of Education for Pure Sciences, University of Babylon, Iraq

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التنزيلات

منشور

2026-05-15

إصدار

القسم

Articles

كيفية الاقتباس

Applications of Artificial Intelligence (AI) among Active Learning Strategies to Enhance Geometrical Thinking Competencies among Secondary Students. (2026). المجلة الدولية للبحوث العلمية, 5(5). https://doi.org/10.59992/IJSR.2026.v5n5p20