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آیندهپژوهی توسعه آموزش هوشمند با در نظر گرفتن نقش فناوریهای نوین | ||
| رهبری آموزشی کاربردی | ||
| مقاله 10، دوره 5، شماره 1 - شماره پیاپی 17، فروردین 1403، صفحه 176-194 اصل مقاله (1.37 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22098/ael.2024.14391.1401 | ||
| نویسندگان | ||
| مرتضی محمدی زنجیره* 1؛ سیدمرتضی مرتضوی2؛ مرتضی هادی زاده3 | ||
| 1استادیار، گروه مهندسی کامپیوتر، دانشگاه بینالمللی امام خمینی(ره)، قزوین، ایران | ||
| 2دانشجوی دکتری آیندهپژوهی، دانشکده علوم اجتماعی، دانشگاه بینالمللی امام خمینی(ره)، قزوین، ایران | ||
| 3دانشجوی دکتری مدیریت بازرگانی، دانشگاه تهران، تهران، ایران | ||
| چکیده | ||
| مقدمه و هدف: تمرکز ما در این پژوهش بر هوش مصنوعی و اینترنت اشیاء است. این دو، مجموعهای از فناوریهایی هستند که ضمن تمایز آفرینی به سرعت در حال گسترش میباشند و جنبههای مختلف مربوط به آموزش را بهطور اساسی تغییر میدهند. بنابراین هدف از انجام این پژوهش شناسایی سناریوهای توسعه آموزش مبتنی بر درک صحیح از تغییرات در روند توسعه فناوری در سطح بینالمللی است. روششناسی پژوهش: پژوهش حاضر از نظر روش از نوع آمیخته اکتشافی است. بدین ترتیب ابتدا در گام اول با روش کیفی مرور ادبیات پژوهش پیشرانها شناسایی و در گام دوم با روش کمّی آزمون دوجملهای تأیید شدند، سپس در گام سوم با روش دیمتل به تحلیل پیشرانها پرداخته شد. در نهایت پس از شناسایی عدم قطعیتهای کلیدی، در گام چهارم با استفاده از روش تحلیل متوازن تأثیر متقابل، سناریوها استخراج و سپس تدوین گردیدند. ابزار جمعآوری دادهها پرسشنامههای خبرهسنجی برای روشهای آزمون دوجملهای، دیمتل و تحلیل متوازن تأثیر متقابل است. بدین ترتیب جامعه نظری در گامهای دوم الی چهارم پژوهش را خبرگان آگاه به موضوع پژوهش به تعداد 20 نفر از طریق نمونهگیری هدفمند تشکیل میدهد. یافتهها: ما نهایتاً توانستیم 16 پیشران تأثیرگذار را شناسایی کنیم و بر مبنای حالتهای تأثیرگذاری آنها که آینده را متأثر میسازد به تدوین سه سناریو محتمل بپردازیم. بحث و نتیجهگیری: نتایج ما تأکید میکند که تحقیقات هوش مصنوعی تأثیر قابل توجهی بر ساختار آموزشی دارد. جنبههای مهم رشد هوش مصنوعی بر آموزش شامل صنعت آموزش خصوصی قوی و علاقه فزاینده بینالمللی است. این مطالعه بر اساس رهنمودهای تحقیقاتی مبتنی بر شواهد، دستور کار روشنگری را برای آینده ارائه میدهد که به محققان آینده، هوش مصنوعی برای شناسایی مسائل تحقیقاتی معاصر و توسعه تحقیقات تأثیرگذار برای حل مشکلات پیچیده اجتماعی کمک میکند. . | ||
| کلیدواژهها | ||
| آموزش؛ آموزش فناورانه؛ هوش مصنوعی؛ اینترنت اشیاء؛ آیندهپژوهی | ||
| مراجع | ||
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