دراسة التوصيات المتعلقة باستخدام الذكاء الاصطناعي بنزاهة من منظور التعليم والتعلم
DOI:
https://doi.org/10.30827/relieve.v29i2.29295الكلمات المفتاحية:
الذكاء الاصطناعي، الذكاء الاصطناعي التوليدي (GenAI)، النماذج اللغوية الكبيرة، النزاهة الأكاديمية، منحة التدريس والتعلم، منهج النظمالملخص
سمحت التطورات الجديدة في مجال الذكاء الاصطناعي (AI) بتطوير الذكاء الاصطناعي التوليدي (GenAI), القادر على إنشاء نصوص مشابهة لتلك التي يمكن للبشر إنتاجها. ونتيجة لذلك, ظهرت بسرعة مخاوف المعلمين في قطاع التعليم العالي. وقد تناولت العديد من المنظمات والخبراء هذه المخاوف من خلال التوصيات. في هذه الورقة المفاهيمية, نعتمد على النموذج المتكامل للنزاهة الأكاديمية من خلال عدسة التدريس والتعلم لفحص وتحفيز المناقشة من إحدى عشرة ورقة تركز على استخدام GenAI بنزاهة. لقد حددنا التوصيات المناسبة للمستويات الفردية (الجزئية) ,والإدارات/البرامج (المتوسطة), والمؤسسية (الكلية), والمستويات المشتركة بين المؤسسات/الوطنية/الدولية (الضخمة) فيما يتعلق بعنصرين أساسيين للنموذج: "المهنية عالية التأثير" التعلم للأفراد والمجموعات" و"القيادة والثقافات الصغيرة على المستوى المحلي".وكانت الاقتراحات حول العنصر الأساسي "المنح الدراسية والبحث والاستقصاء" مفقودة على المستويين الجزئي والمتوسط; وبالمثل, كانت التوصيات المتعلقة بالعنصر الأساسي "مساحات التعلم وطرق التدريس والتكنولوجيات" غائبة أيضًا على المستويات المتوسطة والكلي والضخمة. نحن ندرك أن هذه التوصيات تركز على التعلم، وتشرك مختلف أصحاب المصلحة, وتتجاوز سلوك الطلاب, وهو ما يتوافق مع الأساليب الحالية للنزاهة الأكاديمية. ومع ذلك, هناك بعض الثغرات تحتاج إلى مزيد من الاستكشاف. نحن نسلط الضوء على الحاجة إلى تطوير إرشادات وموارد أكثر تحديدًا وعملية لأصحاب المصلحة في مجال التعليم حول قضايا GenAI المتعلقة بالنزاهة الأكاديمية, واستكشاف أفضل السبل لدعم الشبكات والقادة في التعليم العالي فيتهيئة الظروف للاستخدام الأخلاقي لـ GenAI, والتأكيد على الحاجة إلى عدسة العدالة والتنوع والشمول في GenAI
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