مرور سیستماتیک تأثیر هوش مصنوعی بر حوزه‌های مدیریت آموزشی، فرآیند تدریس و یادگیری

محورهای موضوعی : علوم تربیتی

صغری صالحی پور ¹ , صغری افکانه ^{2 *} , مهدی کلانتری ³

1 - دانشجوی دکتری گروه مدیریت آموزشی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران [e-mail]
2 - استادیار، گروه علوم تربیتی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران(نویسنده مسئول) [e-mail]
3 - استادیار، گروه علوم تربیتی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران [e-mail]

تاریخ دریافت : 1403/12/25 تاریخ پذیرش : 1404/03/17 تاریخ انتشار : 1404/03/30

کلید واژه: هوش مصنوعی, مدیریت آموزشی, فرآیند تدریس, یادگیری,

چکیده مقاله :

هدف: این مطالعه با هدف بررسی تأثیر هوش مصنوعی بر حوزه‌های مدیریت آموزشی، فرآیند تدریس و یادگیری دانش‌آموزان انجام شد. روش: این پژوهش با استفاده از مرور سیستماتیک صورت گرفت. مقالات علمی، نشریات حرفه‌ای و گزارش‌های تخصصی مرتبط بررسی شدند تا تأثیرات این فناوری بر آموزش تحلیل شود. یافته ها: یافته‌ها نشان می‌دهد که هوش مصنوعی با استفاده از سیستم‌های رایانه‌ای، پلتفرم‌های آنلاین، ربات‌های انسان‌نما و چت‌بات‌ها، تأثیر چشمگیری بر ارتقای کیفیت و کارایی در آموزش داشته است. هوش مصنوعی از طریق سفارشی‌سازی محتوا و ارائه برنامه‌های یادگیری متناسب با نیازها و توانایی‌های دانش‌آموزان، فرآیند یادگیری را بهبود داده و به افزایش حفظ و جذب اطلاعات کمک کرده است. همچنین، ترکیب فناوری‌هایی مانند واقعیت مجازی، فناوری سه‌بعدی، بازی‌سازی و شبیه‌سازی با سیستم‌های هوش مصنوعی، تجربیات یادگیری عملی و خلاقانه‌ای برای دانش‌آموزان فراهم کرده است. در بخش مدیریت آموزشی، هوش مصنوعی با خودکارسازی وظایف اداری نظیر بررسی تکالیف و ارائه بازخورد، بار کاری مربیان را کاهش داده و به آن‌ها امکان داده است تا بر بهبود کیفیت تدریس تمرکز کنند. نتیجه گیری: در مجموع، این تحقیق نشان می‌دهد که هوش مصنوعی نه تنها باعث بهبود کارایی و اثربخشی در آموزش شده، بلکه چشم‌اندازهای جدیدی را برای تحول در تجربه‌های یادگیری دانش‌آموزان و عملکرد مؤسسات آموزشی ایجاد کرده است.

 

چکیده انگلیسی:

Objective: This study aims to examine the impact of artificial intelligence (AI) on the fields of educational management, teaching, and student learning processes. Method: This research was conducted using a systematic review approach. Scientific articles, professional journals, and specialized reports were analyzed to assess the effects of AI on education. Findings: The results indicate that AI, through computer-based systems, online platforms, humanoid robots, and chatbots, has significantly contributed to enhancing the quality and efficiency of education. AI improves the learning process by personalizing content and providing tailored learning programs that meet students' needs and capabilities, thereby increasing information retention and engagement. Additionally, the integration of technologies such as virtual reality, 3D technology, gamification, and simulations with AI systems has provided hands-on and creative learning experiences for students. In the field of educational management, AI has automated administrative tasks such as homework assessment and feedback delivery, reducing the workload of educators and enabling them to focus on improving teaching quality. Conclusion: Overall, this study demonstrates that AI not only enhances efficiency and effectiveness in education but also introduces new opportunities for transforming student learning experiences and improving the performance of educational institutions. Conclusion: Overall, this study demonstrates that AI not only enhances efficiency and effectiveness in education but also opens new horizons for transforming students' learning experiences and the performance of educational institutions. Keywords: Artificial Intelligence, Educational Management, Teaching and Learning Processes

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