علوم ترویج و آموزش کشاورزی ایران

علوم ترویج و آموزش کشاورزی ایران

واکاوی ابعاد مرتبط با استفاده از هوش مصنوعی در نظام آموزش عالی ایران

مقالات آماده انتشار

نوع مقاله : مقاله پژوهشی

نویسندگان
عطیه امین دین 1
حمیدرضا پورقاسمی 2
صمد نژاد ابراهیمی 3
1 دانشجوی دکتری، بخش علوم خاک، دانشکده کشاورزی، دانشگاه شیراز، شیراز، ایران.
2 استاد، بخش علوم خاک، دانشکده کشاورزی، دانشگاه شیراز، شیراز، ایران
3 استاد، گروه فیتوشیمی، پژوهشکده گیاهان و مواد اولیه دارویی، دانشگاه شهید بهشتی، تهران، ایران
10.22034/iaeej.2026.573750.1902
چکیده
گسترش سریع هوش مصنوعی مولد در نظام آموزش عالی، فرصت‌ها و چالش‌های جدیدی را در حوزه آموزش و پژوهش ایجاد کرده است. با وجود افزایش استفاده از این فناوری در دانشگاه‌ها، هنوز شناخت جامعی از انگیزه‌ها، چالش‌ها و معیارهای ارزیابی عملکرد آن در میان گروه‌های مختلف دانشگاهی ایران، به‌ویژه در حوزه‌های علمی و کاربردی مانند کشاورزی و منابع طبیعی، وجود ندارد. پژوهش حاضر با هدف واکاوی ابعاد مرتبط با استفاده از هوش مصنوعی در نظام آموزش عالی ایران انجام شد. این مطالعه با رویکرد پیمایشی و در مقیاس ملی اجرا گردید. جامعه آماری شامل اعضای هیئت‌علمی، پژوهشگران پسادکتری، دانشجویان و پژوهشگران دانشگاه‌ها و مؤسسات آموزش عالی کشور بود که از طریق نمونه‌گیری داوطلبانه در پژوهش مشارکت کردند. ابزار گردآوری داده‌ها پرسشنامه الکترونیکی بود که در بستر گوگل فرمز (Google Forms) منتشر شد. در مجموع، ۶۵۰ پرسشنامه شامل اعضای هیئت‌علمی (۳۴۱ نفر)، پژوهشگران پسادکتری (۵۰ نفر)، دانشجویان (۱۳۹ نفر) و سایر پژوهشگران (۱۲۰ نفر) در شش گروه علمی، به‌طور کامل تکمیل و داده‌ها با استفاده از نرم‌افزار SPSS مورد تحلیل قرار گرفتند. چارچوب مفهومی پژوهش بر مبنای ادبیات مرتبط با پذیرش فناوری و عوامل فردی و حرفه‌ای مؤثر بر استفاده از هوش مصنوعی تدوین شد. نتایج نشان داد که صرفه‌جویی در زمان مهم‌ترین انگیزه استفاده از هوش مصنوعی در میان پاسخ‌گویان است و در اغلب گروه‌ها بیش از ۵۵ درصد پاسخ‌ها را به خود اختصاص داده است، به‌طوری‌که این مقدار در گروه فنی و مهندسی به 67/78 درصد رسید. در حالی‌ که کمبود آموزش صحیح و نگرانی‌های اخلاقی از مهم‌ترین چالش‌های استفاده از این فناوری محسوب می‌شوند. همچنین، تفاوت‌های معناداری میان سطوح فعالیت دانشگاهی در برخی الگوهای استفاده و انگیزه‌های بهره‌گیری از هوش مصنوعی مشاهده شد. به‌طور کلی، یافته‌های این پژوهش نشان می‌دهد که ارتقای آموزش‌های تخصصی، تقویت اعتماد به خروجی‌های هوش مصنوعی و توجه نظام‌مند به ملاحظات اخلاقی، از عوامل کلیدی برای استفاده مؤثر از این فناوری در نظام آموزش عالی به شمار می‌روند.
کلیدواژه‌ها
پژوهش‌های دانشگاهی
تحصیلات تکمیلی
نگرانی اخلاقی
هوش مصنوعی مولد

عنوان مقاله English

Analyzing the Dimensions Associated with the Use of Artificial Intelligence in Higher Education System in Iran

نویسندگان English

Atiyeh Amindin 1
Hamid Reza Pourghasemi 2
Samad Nejad Ebrahimi 3
1 Department of Soil Science, School of Agriculture, Shiraz University, Shiraz, Iran
2 Department of Soil Science, School of Agriculture, Shiraz University, Shiraz, Iran
3 Department of Phytochemistry, Shahid Beheshti University, Tehran, Iran
چکیده English

The rapid expansion of generative artificial intelligence (AI) in higher education has created new opportunities and challenges in teaching and research. Despite the increasing use of this technology in universities, there is still limited understanding of the motivations, challenges, and performance evaluation criteria associated with AI use among different academic groups in Iran, particularly in applied and scientific fields such as agriculture and natural resources. The present study aimed to analyzing the dimensions associated with the use of artificial intelligence in higher education system in Iran. This study was conducted using a survey-based approach at the national level. The statistical population included faculty members, postdoctoral researchers, students, and other researchers from universities and higher education institutions across the country who participated through voluntary sampling. Data were collected using an electronic questionnaire distributed via Google Forms. In total, 650 completed questionnaires were collected, including responses from faculty members (341 participants), postdoctoral researchers (50 participants), students (139 participants), and other researchers (120 participants) across six academic disciplines. Data were analyzed using SPSS software, descriptive statistics, percentage analysis, and the Chi-square test. The conceptual framework of the study was developed based on the literature related to technology acceptance and the individual and professional factors influencing AI use. The findings revealed that time-saving was the primary motivation for using AI among respondents, accounting for more than 55% of responses in most groups, reaching 67.78% in the engineering and technology group. In contrast, lack of proper training and ethical concerns were identified as the most significant challenges associated with the use of this technology. Furthermore, significant differences were observed among academic activity levels regarding certain patterns of AI use and motivations for adopting this technology. Overall, the findings indicate that improving specialized training, strengthening trust in AI-generated outputs, and systematically addressing ethical considerations are key factors in enhancing the effective use of AI in higher education.

کلیدواژه‌ها English

Academic research ethical concerns
Generative Artificial
Graduate education
Intelligence
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