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القدرة على القيادة التربوية وعلاقتها بالاتجاه العلمي لدى رؤساء الاقسام في بعض الجامعات العراقية
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مشكلة البحث :

تعد الادارة الجامعية عاملا مهما واساسيا في اكمال البناء المعرفي لشخصية الطالب الجامعي لما يمثله من قدرة على قيادة العملية التربوية والتعليمية والوصول بها الى تحقيق اهدافها . وطالما كانت هذه الادارة ممثلة ابتداء من رئاسات الاقسام ووصولا الى اعلى الهرم الاداري في الجامعة مهمة في تحقيق  الاهداف العلمية والتربوية فان اختيار الاشخاص للقيام بمهامها تاخذ جانبا كبيرا ومهما وذلك للاثر الكبير لهذا الجانب .ان القدرة على القيادة التربوية تعتمد على توافر مجموعة من المهارات الاساسية كالادارية والعلمية والانسانية والفنية عند رؤوساء الاقسام وهذا الامر يتطلب وضوح الاهداف بالنسبة لادارة الاقسام والتخطيط والتنظيم والاشراف والتقويم الاداري الذي يتعلق بتوزيع المهام وكيفية تحقيقها في حلقات الهرم الادارية .وفي الوقت نفسه يمثل الاتجاه الذي يحمله الفرد دورا مهما واساسيا في تحديد استجاباته نحو الاشياءوالحوادث والمؤسسات والاخرين , وتتطلب الادارة ان يكون هناك اهتماما في التعرف على مايحمله رؤوساء الاقسام من اتجاهات علمية نحو الكثير من المفردات الاساسية في الادارة حيث تعد ضرورة لاغنى عنها لمواجهة الطوفان العلمي المعرفي المتمثل في ثورة المعلومات والتكنولوجيا وهذا يتطلب الاهتمام باعداد الطلبة العلمي والمعرفي لكي لانشعر بالانعزال والابتعاد عن العالم الخارجي .ومن خلال مالاحظه الباحثان اثناء عملهم في االتدريس الجامعي ان هناك بعض رؤوساء الاقسام الذين لايهتمون بهذه الجوانب وان قدرتهم على التخطيط والتنظيم تصطدم بعدم القدرة على قيادتهم الاقسام وهذا ينعكس على طبيعة القسم ودوره العلمي . لذا تنبثق مشكلة البحث الحالي من اهمية القيادة في المؤسسات التربوية وما لها من دور كبير في قيادة العملية التربوية يؤدي بطبيعة الحال الى الارباك في الاداء مما ينعكس اثره السلبي على موقع  الجامعة في المجتمع .لذا جاءت الدراسة  الحالية كمحاولة للبحث عن تشخيص الجانب السلبي ومحاولة معالجته وذلك عن طريق تقويم القدرة على القيادة التربوية لرؤساء الاقسام في  الكليات على  وفق الاتجاه العلمي

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Sat Sep 01 2018
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Publication Date
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Publication Date
Sun Oct 02 2022
Journal Name
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Sun Jul 01 2007
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Publication Date
Wed Jun 29 2016
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Publication Date
Fri Feb 08 2019
Journal Name
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Color is perhaps the most important element in art because it is what first attracts
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Publication Date
Thu Aug 01 2019
Journal Name
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Some Estimation methods for the two models SPSEM and SPSAR for spatially dependent data
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ABSTRUCT

In This Paper, some semi- parametric spatial models were estimated, these models are, the semi – parametric spatial error model (SPSEM), which suffer from the problem of spatial errors dependence, and the semi – parametric spatial auto regressive model (SPSAR). Where the method of maximum likelihood was used in estimating the parameter of spatial error          ( λ ) in the model (SPSEM), estimated  the parameter of spatial dependence ( ρ ) in the model ( SPSAR ), and using the non-parametric method in estimating the smoothing function m(x) for these two models, these non-parametric methods are; the local linear estimator (LLE) which require finding the smoo

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