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identification of factors affecting quality of teaching engineering drawing using a hybrid mcdm model
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نویسنده
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haghshenas gorgani h. ,jahantigh pak a.
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منبع
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journal of ai and data mining - 2020 - دوره : 8 - شماره : 2 - صفحه:247 -267
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چکیده
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Identification of the factors affecting the 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 problem, and, on the other hand, we are faced with human factors, the fuzzy dematel method is suggested for solving it. in addition, since the dematel analysis does not lead to a weighting of the criteria, it is combined with 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 are used, the evaluation policy is tailored to the course, the professor and his/her assistants are available to correct the students' mistakes, and there is also an interactive system based on the student comments.
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کلیدواژه
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teaching ,engineering drawing ,dematel ,anp ,fuzzy logic
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آدرس
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sharif university of technology, engineering graphics center, iran, sharif university of technology, engineering graphics center, iran
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پست الکترونیکی
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jahantigh@sharif.edu
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Authors
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