Identification of Factors Affecting Quality of Teaching Engineering Drawing using a Hybrid MCDM Model
محل انتشار: مجله هوش مصنوعی و داده کاوی، دوره: 8، شماره: 2
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 290
فایل این مقاله در 21 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JADM-8-2_009
تاریخ نمایه سازی: 1 مرداد 1399
چکیده مقاله:
Identification of the factors affecting teaching quality of engineering drawing and interaction between them is necessary until it is determined which manipulation will improve the quality of teaching this course. Since the above issue is a Multi-Criteria Decision Making (MCDM) problem and on the other hand, we are faced with human factors, the Fuzzy DEMATEL method is suggested for solving it. Also, because DEMATEL analysis does not lead to a weighting of the criteria, it is combined with the ANP and a hybrid fuzzy DEMATEL-ANP (FDANP) methodology is used. The results of investigating 7 Dimensions and 21 Criteria show that the quality of teaching this course increases, if the updated teaching methods and contents to be used, the evaluation policy to be tailored to the course, the course professor and his/her assistants be available to correct students mistakes and there is also an interactive system based on student comments.
کلیدواژه ها:
نویسندگان
H. Haghshenas Gorgani
Engineering Graphics Center, Sharif University of Technology, Tehran, Iran.
A. R. Jahantigh Pak
Engineering Graphics Center, Sharif University of Technology, Tehran, Iran.