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العلاقــة بين المقرر الدراســي والتخصـص والتحصـيل العلمي في الكيميــاء والاتجــاه نحــو العـلوم لدى طلبــة كليــة التربيــة ابن الهيثــم / جامعــة بغــداد
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تهدف هذه الدراسة إلى معرفة الفرق في التحصيل الدراسي في الكيمياء والاتجاه نحو العلوم بين طلاب التخصص العلمي وطلاب التخصص الصناعي الصف الأول كلية التربية ابن الهيثم، كذلك تهدف الدراسة إلى معرفة العلاقة بين التحصيل الدراسي في الكيمياء ودرجات اختبار نهاية الفصل في الكيمياء، والمعدل التراكمي بعد أخذ المقرر الدراسي والاتجاه نحو العلوم بالنسبة لطلاب التخصص العلمي وطلاب التخصص الصناعي.

لقد استخدمت الباحثة اختبار التحصيل في الكيمياء، وكذلك مقياس الاتجاه نحو العلوم لغرض هذه الدراسة، وقد تكونت عينة الدراسة من 36 طالباً من التخصص العلمي، وكذلك 36 طالباً من التخصص الصناعي.

وقد بيّنت نتائج الدراسة ما يلي:-

  • هناك فرق دال إحصائياً عند مستوى دلالة (0.05) بين طلاب التخصص العلمي وطلاب التخصص الصناعي في التحصيل الدراسي في الكيمياء لصالح طلاب التخصص الصناعي.
  • ليس هناك فرق دال إحصائياً في الاتجاه نحو العلوم بين طلاب التخصص العلمي وطلاب التخصص الصناعي.
  • هناك فرق دال إحصائياً عند مستوى دلالة (0.01) في درجات نهاية المقرر الدراسي في الكيمياء بين طلاب التخصص العلمي وطلاب التخصص الصناعي لصالح طلاب التخصص العلمي.
  • هناك معامل ارتباط دال إحصائياً عند مستوى دلالة (0.05) بين التحصيل في الكيمياء Gain Scores ودرجات اختبار نهاية المقرر الدراسي في الكيمياء بالنسبة لطلاب التخصص العلمي.
  • هناك معامل ارتباط دال إحصائياً عند مستوى دلالة (0.01) بين درجات نهاية المقرر الدراسي والمعدل التراكمي بالنسبة لطلاب التخصص العلمي.
  • هناك معامل ارتباط إحصائياً عند مستوى دلالة (0.01) بين المعدل التراكمي والاتجاه نحو العلوم بالنسبة لطلاب التخصص العلمي.
  • ليس هناك علاقة ارتباطية بين التحصيل الدراسي في الكيمياء والاتجاه نحو العلوم لطلاب التخصص العلمي.
  • ليس هناك أي علاقة ارتباطية بين التحصيل في الكيمياء ودرجات اختبار نهاية الفصل الدراسي والمعدل التراكمي والاتجاه نحو العلوم بالنسبة لطلاب التخصص الصناعي.

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Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Comparing the Sequential Nonlinear least squared Method and Sequential robust M method to estimate the parameters of Two Dimensional sinusoidal signal model:
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Estimation of the unknown parameters in 2-D sinusoidal signal model can be considered as important and difficult problem. Due to the difficulty to find estimate of all the parameters of this type of models at the same time, we propose sequential non-liner least squares method and sequential robust  M method after their development through the use of sequential  approach in the estimate suggested by Prasad et al to estimate unknown frequencies and amplitudes for the 2-D sinusoidal compounds but depending on Downhill Simplex Algorithm in solving non-linear equations for the purpose of obtaining non-linear parameters estimation which represents frequencies and then use of least squares formula to estimate

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Publication Date
Sat Dec 01 2018
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Journal Of Economics And Administrative Sciences
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Abstract:

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Sun Dec 15 2019
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Publication Date
Tue Oct 01 2019
Journal Name
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Publication Date
Thu Feb 01 2018
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Use Simulation To Differentiate Between Some Modern Methods To the Model GM(1,1) To Find Missing Values And Estimate Parameters With A Practical Application
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Publication Date
Wed Mar 23 2022
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Publication Date
Mon Oct 01 2018
Journal Name
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Publication Date
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Mon Feb 10 2025
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