comparison of services quality assessment models between students from teaching and learning process quality by using artificial neural network

نویسندگان

سید یوسف حجازی

استاد دانشکدة اقتصاد و توسعة کشاورزی، دانشگاه تهران فاطمه رجبیان غریب

دانشجوی کارشناسی ارشد آموزش کشاورزی، دانشگاه تهران محمود امید

استاد دانشکدة مهندسی فناوری کشاورزی، دانشگاه تهران

چکیده

the aim of this study is quantity determining and evaluating of the quality position of teaching and learningprocess. so, the artificial neural networks were used for modeling nonlinear relationships to inspect and evaluate different models of service quality evaluation. the statistical population include 1070 peoples, which were master and phd students of faculty of agriculture of ferdowsiuniversity (mashhad). 280 questionnaires were collected by using morgan table; from which 202 questionnaires were finally analyzed. in order to inspect and evaluate the quality of teaching and learning process, four models were used with artificial neural networks, including non-weighted servprof, non-weighted servqual, weighted servprof and weighted servqual. the results of the artificial neural network method showed that weighted servqual model is more accurate to evaluate the quality of teaching and to predict satisfactory. 7-29-14-1 architecture with 29 and 14 neurons respectively in the first and second hidden layers and one neuron (weighted servqual) in the output layer was chosen as the best model for determining the quality evaluation. this architecture has the best results for r (0.96), mae (0.18), mse (0.06) and mape (4.41%) between the actual and modeled values.

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عنوان ژورنال:
تحقیقات اقتصاد و توسعه کشاورزی ایران

جلد ۴۵، شماره ۴، صفحات ۶۶۳-۶۷۲

کلمات کلیدی
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