رویکرد مبتنی داده‌کاوی در طراحی مدل خودبهسازی رهبری مدیران مدارس

محورهای موضوعی : آموزش و پرورش

سید علی سیادت ¹ , مریم تاجی ²

1 - استاد تمام، عضو هیأت علمی دانشکده علوم تربیتی و روانشناسی دانشگاه اصفهان، اصفهان، ایران
2 - دانشجوی دکتری مدیریت آموزشی، دانشکده علوم تربیتی و روانشناسی دانشگاه اصفهان، اصفهان،‌ ایران

تاریخ دریافت : 1396/07/05 تاریخ پذیرش : 1398/07/29 تاریخ انتشار : 1398/06/01

کلید واژه: فرایند تحلیل سلسله مراتبی, تحلیل عاملی تاییدی, عوامل کلیدی موفقیت, یادگیری الکترونیک,

چکیده مقاله :

این مطالعه با هدف ارائه مدل و اولویت­بندی عوامل کلیدی موفقیت یادگیری الکترونیک انجام شده است. جامعه­ی آماری این تحقیق را دانشجویان دانشکده آموزش­های الکترونیکی دانشگاه شیراز تشکیل می­دادند که تعداد آنها برابر با 715 نفر می­باشد؛ مطابق با جدول مورگان حجم نمونه برابر با 250 تعیین گردید؛ که به شیوه نمونه­گیری غیرتصادفی در دسترس انتخاب شدند. با استفاده از تکنیک توزیع دوجمله­ای، از بین 21 عوامل کلیدی موفقیت یادگیری الکترونیک که از پیشینه تحقیق برگرفته شده بود، 4 شاخص حذف و 17 شاخص انتخاب شدند. این 17 عامل بر اساس تکنیک تحلیل عاملی اکتشافی در 5 دسته کلی " کیفیت سیستم، شایستگی اساتید و دستیاران آموزشی، اثربخشی محتوا، تعامل اساتید و دانشجویان، و شایستگی دانشجویان"قرار گرفتند. با استفاده از تکنیک تحلیل عاملی تاییدی مرتبه اول و دوم (نرم­افزار لیزرل)، برازش مدل پیشنهادی مورد تایید قرار گرفت. نتایج اولویت­بندی عوامل کلیدی موفقیت یادگیری الکترونیک که بر اساس تکنیک فرایند تحلیل سلسله مراتبی گروهی به دست آمد، نشان داد که کیفیت برنامه­ سیستم یادگیری الکترونیک، کیفیت محتوای ارائه شده، کاربر پسند بودن سیستم یادگیری الکترونیک و سواد اطلاعاتی استاد، مهمترین عوامل موفقیت یادگیری الکترونیک بودند.

چکیده انگلیسی:

The importance and need to evaluate the self-development of leadership among managers for the conscious development of skills, self-direction, guidance and control of leadership by many researchers. There are a lot of data and information related to the self-assessment of the leadership of the schools in schools that are unused. In this paper, in order to design a model for leadership development of school principals using the decision tree technology, firstly, the factors of tendency to self-control of leadership in school principals were surveyed by experts from two motivational perspectives and self-regulatory skills, and weights of criteria were calculated. Then, the degree of self-development was calculated for 335 school principals in Isfahan province. Finally, using the QUEST, CHAID, C5.0 and CART algorithms, there are some rules for the self-improvement of the leadership of school principals. Findings of this research show that the tendency to self-development of leadership in school principals is a priority in terms of motivation. The results of this research provide a field of knowledge that can be applied to them.

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