کاربرد هوش مصنوعی در رهبری آموزشی

نوع مقاله : مروری

نویسندگان

1 دانشجوی دکتری رشته تکنولوژی آموزشی، دانشگاه علامه طباطبایی، تهران، ایران.

2 دانشجوی دکتری مدیریت آموزشی دانشگاه تهران، تهران، ایران.

چکیده
پیشرفت در حوزه هوش مصنوعی، رهبری آموزشی را با فرصت‌ها و چالش‌هایی مواجه کرده است و بهره‌گیری مؤثر از این فناوری در سطح راهبردی با ابهامات مفهومی و پراکندگی در ادبیات همراه بود. هدف پژوهش، ارائه طبقه‌بندی مفهومی منسجمی از کاربردهای هوش مصنوعی در رهبری آموزشی بود. مطالعه با رویکرد مرور نظام‌مند و بر پایه طرح تحقیق کیفی - استقرایی انجام شد. جامعه‌پژوهش شامل کلیه مطالعات منتشرشده در حوزه هوش مصنوعی و رهبری آموزشی از سال ۲۰۱۷ تا ۲۰۲۵ بود و انتخاب منابع با استفاده از فلوچارت PRISMA در پایگاه‌های Scopus، ERIC و IEEE Xplore انجام شد که درنهایت ۳۲ منبع واجد شرایط برای تحلیل مضمون انتخاب گردید. پس از استخراج مضامین اولیه، اعتبارسنج بیرونی با مشارکت متخصصان انجام شد. یافته‌ها نشان دادند که کاربردهای هوش مصنوعی در رهبری آموزشی در ده حوزه متمایز قابل‌طبقه‌بندی‌اند: کارایی اجرایی، یادگیری شخصی‌سازی‌شده، بهبود شیوه‌های تدریس، تصمیم‌گیری و سیاست‌گذاری، خدمات پشتیبانی از دانش‌آموز، رهبری سازمانی و برنامه‌ریزی راهبردی، نظارت بر مقررات، تعامل و ارتباط با جامعه، رهبری اخلاق‌مدار در هوش مصنوعی، و تنوع، عدالت و فراگیری. این حوزه‌ها، ابعاد مختلف رهبری آموزشی را پوشش داده و ظرفیت فناوری‌های هوش مصنوعی برای بهبود عملکرد سازمانی، تصمیم‌گیری داده‌محور، و تضمین عدالت آموزشی را برجسته ساختند. طبقه‌بندی ارائه‌شده، چارچوبی کاربردی برای مدیران، سیاست‌گذاران و توسعه‌دهندگان فناوری فراهم آورد تا استقرار هوش مصنوعی را در نظام آموزشی با نگاهی منسجم، اخلاق‌محور و متناسب با بافت طراحی کنند. مطالعه حاضر، با سازمان‌دهی مفهومی کاربردها، زمینه را برای طراحی برنامه‌های توسعه حرفه‌ای و پژوهش‌های آینده در رهبری آموزشی هوشمند فراهم کرد.

کلیدواژه‌ها

موضوعات

عنوان مقاله English

Application of Artificial Intelligence in Educational Leadership

نویسندگان English

Fateme Asadi 1
Mohammad Nori Alamoti 2
1 Ph.D. Student, Educational Technology, Allameh Tabataba'i University, Tehran, Iran. Researcher at the Research and Curriculum Planning Organization
2 .hD. Student of Educational Management, Tehran University, Tehran, Iran.
چکیده English

Educational leadership faced new opportunities and challenges due to the advances in the artificial intelligence; so, we still suffer from conceptual ambiguities and lack of literature for the effective use of this technology at a strategic level. The aim of the study was to provide a coherent classification of applications of artificial intelligence in educational leadership. The study was conducted with a systematic review approach and qualitative-inductive analysis. The research data included all studies in the field of artificial intelligence and educational leadership from 2017 to 2025 available through Scopus, ERIC, and IEEE Xplore databases. Using the PRISMA flowchart, we ultimately selected 32 sources for content analysis. After extracting the initial themes, external validation was carried out with the participation of experts. The findings showed that the applications of artificial intelligence in educational leadership can be classified into ten distinct areas: executive effectiveness, personalized learning, improving teaching practices, decision-making and policy-making, student support, organizational leadership and strategic planning, regulatory oversight, community engagement and communication, ethical leadership in artificial intelligence, and diversity, equity, and inclusion. These domains cover different dimensions of educational leadership and highlight the potential of AI technologies to improve organizational performance, data-driven decision-making, and ensure educational equity. The proposed taxonomy provides a practical framework for administrators, policymakers, and technology developers to design AI deployments in the educational system with a coherent, ethical, and contextual perspective. The present study provides a framework for designing professional development programs and future research in intelligent educational leadership.

کلیدواژه‌ها English

Artificial intelligence
Conceptual classification
Educational innovation
Educational leadership
Educational policy-making
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