طراحی و ارزیابی مدل هوشمند مدیریت دانش مبتنی بر هوش مصنوعی برای ارتقای عملکرد تدریس معلمان ابتدایی با تأکید بر استخراج و اشتراک دانش ضمنی
کلمات کلیدی:
مدیریت دانش, هوش مصنوعی, دانش ضمنی, عملکرد تدریس, مدارس ابتداییچکیده
هدف: هدف پژوهش حاضر طراحی و ارزیابی مدل هوشمند مدیریت دانش مبتنی بر هوش مصنوعی برای ارتقای عملکرد تدریس معلمان ابتدایی با تأکید بر استخراج و اشتراک دانش ضمنی بود.
روششناسی: پژوهش حاضر از نظر هدف کاربردی ـ توسعهای و از نظر روش، آمیخته اکتشافی متوالی بود. در بخش کیفی، 18 نفر از متخصصان مدیریت دانش، فناوری آموزشی، هوش مصنوعی، مدیریت آموزشی و آموزش ابتدایی و نیز معلمان و مدیران باتجربه مدارس ابتدایی تهران با نمونهگیری هدفمند تا رسیدن به اشباع مفهومی انتخاب شدند و دادهها از طریق مصاحبه نیمهساختاریافته گردآوری و با تحلیل مضمون در MAXQDA تحلیل شدند. در بخش کمی، 384 معلم ابتدایی مدارس دولتی تهران با نمونهگیری خوشهای چندمرحلهای انتخاب شدند. ابزار پژوهش پرسشنامه محققساخته حاصل از بخش کیفی بود. روایی و پایایی ابزار با بارهای عاملی، آلفای کرونباخ، rho_A، پایایی ترکیبی، میانگین واریانس استخراجشده و HTMT بررسی شد. مدل ساختاری با روش حداقل مربعات جزئی و بوتاسترپ 5,000 تکراری در SmartPLS آزمون شد.
یافتهها: زیرساخت و آمادگی هوش مصنوعی بر استخراج دانش ضمنی اثر مثبت داشت (β = 0.418, p < 0.001) و حمایت مدیریتی و فرهنگ تسهیم دانش نیز استخراج دانش ضمنی را پیشبینی کرد (β = 0.291, p < 0.001). استخراج دانش ضمنی بر کدگذاری و سازماندهی هوشمند دانش اثر گذاشت (β = 0.604, p < 0.001) و کدگذاری دانش، ذخیرهسازی و بازیابی دانش را افزایش داد (β = 0.537, p < 0.001). اشتراک دانش، یادگیری و همکاری حرفهای را پیشبینی کرد (β = 0.566, p < 0.001) و یادگیری حرفهای بر کاربرد دانش در بهبود تدریس اثر داشت (β = 0.481, p < 0.001). قویترین مسیر مربوط به اثر کاربرد دانش بر عملکرد تدریس بود (β = 0.652, p < 0.001). مدل 68.4 درصد واریانس عملکرد تدریس را تبیین کرد و از برازش مطلوب برخوردار بود (SRMR = 0.056, NFI = 0.918).
نتیجهگیری: یافتهها نشان دادند که هوش مصنوعی زمانی میتواند به بهبود معنادار عملکرد تدریس معلمان ابتدایی منجر شود که در قالب یک نظام منسجم مدیریت دانش، استخراج، سازماندهی، ذخیره، اشتراک و کاربرد دانش ضمنی و حرفهای معلمان را تسهیل کند.
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حق نشر 2025 Negar Gheisvandi (Author); Alireza Esfandyari Moghadam; Atefeh Zarei (Author)

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