Research On The Evaluation Model Of Teaching Quality In Colleges And Universities Based On Convolutional Neural Networks With Application

Due to the influence of epidemic factors and policy guidance,online teaching,as one of the teaching modes that had not been popularized before,has been normalized,and relevant researches are also growing.Artificial intelligence technology is extending to other fields and also bringing changes to the field of education.Currently,the concept of Artificial Intelligence in Education is still in its infancy.High quality teaching evaluation has a positive impact on improving teaching quality.The existing online teaching quality evaluation methods still have a large space to expand.Based on multiple evaluation theory and artificial intelligence education theory,this study combines random forest method and convolutional neural network in artificial intelligence technology with teaching quality evaluation activities.Reflected in the following aspects are the main work contents:(1)The construction of an online teaching quality evaluation index system.Employing both literature research and questionnaire survey techniques,evaluation indexes of online teaching quality are screened,evaluation data of online courses is obtained by issuing questionnaires,the importance of evaluation indexes is evaluated through random forest method,and a system of evaluation indexes of online teaching quality is established,incorporating a variety of evaluation subjects.(2)The structure of a convolutional neural network,based on a final index set,is constructed to evaluate the quality of online teaching in colleges and universities.The sample is then divided into training and test sets,with the convolutional neural network trained and adjusted accordingly.This research object is the online teaching of colleges and universities.supervised learning,and a relational model with evaluation indexes of different evaluation subjects as input and final evaluation results as output is established.The experimental results are verified.(3)An evaluation model of online teaching quality,based on convolutional neural networks,is being applied and analyzed in colleges and universities.The model proposed in this paper was tested through anteroposterior and comparison experiments,with the aim of aiding teachers to enhance the quality of online teaching and its level.The experimental results demonstrate that the model is highly accurate and has a high application value,as well as being able to effectively assess the quality of online teaching in colleges and universities,while reducing evaluation costs.Evaluating the quality of online teaching can be done effectively by it,which is beneficial in enhancing the quality of such instruction.The research shows that the online teaching quality evaluation model of colleges and universities proposed in this paper has high accuracy and can effectively evaluate the online teaching quality.The evaluation index-evaluation model-teaching feedback closed-loop online teaching quality evaluation method proposed in this paper can have a continuous positive impact on improving the online teaching quality and enhancing the online teaching ability of teachers.