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فرصتها، چالشها و راهکارهای کاربست هوش مصنوعی در آموزشعالی ایران از منظر خبرگان | ||
| مطالعات برنامه ریزی آموزشی | ||
| مقاله 13، دوره 15، شماره 29، شهریور 1405، صفحه 266-289 اصل مقاله (899.59 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22080/eps.2025.29736.2359 | ||
| نویسندگان | ||
| محمد آتشک* 1؛ لیلا خسروی مراد2 | ||
| 1استاد یار، دپارتمان تحقیقات در مدیریت، دانشکده مرکز آموزش مدیریت دولتی، تهران، ایران | ||
| 2دانشجوی دکتری حکمرانی آموزش عالی، دانشگاه تهران. ایران | ||
| تاریخ دریافت: 06 مرداد 1404، تاریخ بازنگری: 17 آبان 1404، تاریخ پذیرش: 17 اردیبهشت 1405 | ||
| چکیده | ||
| هدف: در دهههای اخیر، گسترش هوش مصنوعی (AI) فرصتهای جدیدی برای تحول در برنامهریزی درسی آموزش عالی ایجاد کرده است. با وجود اهمیت روزافزون این فناوری در بهبود کیفیت آموزش و یادگیری، استفاده مؤثر از آن در سیستم آموزش عالی ایران با موانع ساختاری، فرهنگی و سیاستی مواجه است. این تحقیق به شناسایی فرصتها، چالشها و استراتژیهای کاربرد هوش مصنوعی در برنامهریزی درسی آموزش عالی در ایران از دیدگاه کارشناسان میپردازد. روششناسی: این مطالعه کیفی از تحلیل تماتیک استفاده میکند تا فرصتها، چالشها و استراتژیهای کاربرد هوش مصنوعی در آموزش عالی ایران را شناسایی کند. شرکتکنندگان شامل حرفهایهایی با حداقل پنج سال تجربه مرتبط در آموزش عالی و برنامهریزی آموزشی بودند. نمونهگیری هدفمند برای اطمینان از تنوع نمایندگی در دانشگاههای دولتی و خصوصی و رشتههای مختلف انجام شد. مصاحبههای نیمهساختاریافته با دوازده کارشناس تا رسیدن به اشباع نظری انجام شد. تحلیل دادهها با استفاده از مدل شش مرحلهای تحلیل تماتیک و با اطمینان از اعتبار از طریق تأیید اعضا و بررسی همتا صورت گرفت. نتایج: یافتهها نشان میدهد که فرصتهای کاربرد هوش مصنوعی در آموزش عالی ایران شامل بهبود تجربه یادگیری از طریق یادگیری شخصی و بهبود فرآیندهای آموزشی از طریق نظارت هوشمند است. با این حال، چالشها در ابعاد مختلف شناسایی شدند: محدودیتهای زیرساختی، ناهماهنگی در آموزش اساتید، نگرانیهای اخلاقی و مسائل مربوط به مسئولیت و نظارت. استراتژیهای پیشنهادی برای ادغام مؤثر هوش مصنوعی شامل توسعه سریع زیرساختها، ترویج یکپارچگی علمی، ایجاد پلتفرمهای یادگیری شخصی و اطمینان از استقرار اخلاقی AI است. نتیجهگیری و پیشنهادات: این مطالعه نتیجهگیری میکند که هوش مصنوعی فرصتها و چالشهای متنوعی برای سیستم آموزش عالی ایران ارائه میدهد. پرداختن به این مسائل نیازمند اصلاحات جامع در سیاستها و استراتژیهای ذینفعان است. تخصیص منابع کافی و همکاری بینسازمانی برای موفقیت در ادغام هوش مصنوعی ضروری است. نوآوری و اصالت: اصالت این مطالعه در طراحی کیفی آن، مشارکت کارشناسان و ادغام ادبیات نظری با یافتههای تجربی برای ارائه راهحلهای عملی و قابل اجرا نهفته است. | ||
| کلیدواژهها | ||
| هوش مصنوعی؛ آموزش عالی؛ برنامهریزی آموزشی؛ سیاستگذاری آموزشی؛ نوآوری آموزشی | ||
| عنوان مقاله [English] | ||
| Opportunities, Challenges and Solutions for Applying Artificial Intelligence in Iranian Higher Education from the Perspective of Experts | ||
| نویسندگان [English] | ||
| mohammad atashak1؛ Leyla Khosravi Morad2 | ||
| 1Assistant Professor, Department of Research in management, Faculty of Statae Mamnagement Training Center, Tehran, Iran | ||
| 2Ph.D. in higher education governance, TehranUniversity, Tehran, Iran | ||
| چکیده [English] | ||
| Aim: In recent decades, the expansion of Artificial Intelligence (AI) has created new opportunities for transformation in higher education curriculum planning. Despite the growing importance of this technology in enhancing teaching and learning quality, its effective utilization in Iran’s higher education system faces various structural, cultural, and policy barriers. This research aims to identify the opportunities, challenges, and strategies for the application of AI in higher education curriculum planning in Iran from the perspective of experts. Methodology: This qualitative study employs thematic analysis to identify opportunities, challenges, and strategies for applying AI in Iranian higher education. Participants included professionals with at least five years of relevant experience in higher education and educational planning. Purposive sampling was used to ensure diverse representation across public and private universities and various disciplines. Semi-structured interviews were conducted with twelve experts until theoretical saturation was reached. Data analysis followed a six-phase thematic analysis model, ensuring credibility through member checking and peer debriefing. Results: Findings reveal that opportunities for AI application in Iranian higher education include enhancing the learning experience through personalized learning and improving educational processes via intelligent monitoring. However, challenges were identified across several dimensions: infrastructure-related limitations, inconsistencies in faculty training, ethical concerns, and issues of accountability and supervision. Proposed strategies for effective AI integration encompass rapid infrastructure development, fostering academic integrity, creating personalized learning platforms, and ensuring ethical deployment of AI. Conclusions and suggestions: The study concludes that AI presents diverse opportunities and challenges for Iran’s higher education system. Addressing these requires comprehensive policy revisions and strategic adaptation by stakeholders. Adequate resource allocation and cross-sector collaboration are essential for the successful integration of AI. Innovation and originality: The originality of this study lies in its qualitative design, expert involvement, and integration of theoretical literature with empirical findings to provide practical solutions. | ||
| کلیدواژهها [English] | ||
| Artificial Intelligence, Higher Education, Educational Planning, Educational Policy-making, Educational Innovation | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 402 تعداد دریافت فایل اصل مقاله: 42 |
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