Impact of Deep Learning Strategy in Mathematics Achievement and Practical Intelligence among High School Students

Authors

  • Sabah Saeed Hammadi General Directorate of First Karkh Education
  • Ban Hassan Majeed University of Baghdad
  • Areej Khuder Hassan University of Baghdad

DOI:

https://doi.org/10.3991/ijet.v18i06.38615

Keywords:

Strategy, Deep Learning, Practical, Intelligence, Achievement, Students, Mathematics, High school.

Abstract


To identify the effect of deep learning strategy on mathematics achievement and practical intelligence among secondary school students during the 2022/2023 academic year. In the research, the experimental research method with two groups (experimental and control) with a post-test were adopted. The research community is represented by the female students of the fifth scientific grade from the first Karkh Education Directorate. (61) female students were intentionally chosen, and they were divided into two groups: an experimental group (30) students who were taught according to the proposed strategy, and a control group (31) students who were taught according to the usual method. For the purpose of collecting data for the experiment, an achievement test was built, which is in its final form (25) test items and a practical intelligence test out of (20) test items of the objective type for both of them. Based on the findings, the students of the experimental group who studied according to deep learning strategies outperformed on those who by the traditional.

 

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Published

2023-03-21

How to Cite

Sabah Saeed Hammadi, Ban Hassan Majeed, & Areej Khuder Hassan. (2023). Impact of Deep Learning Strategy in Mathematics Achievement and Practical Intelligence among High School Students . International Journal of Emerging Technologies in Learning (iJET), 18(06), pp. 42–52. https://doi.org/10.3991/ijet.v18i06.38615

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Section

Papers