Research And Implementation Of Teaching Resource Integration Method Based On Convolutional Neural Network

With the development of information technology,the form of the teaching materials has been continuously changing,from a single paper teaching material to a "textbook + CD-ROM",and now to the popular "teaching + digital resources" new media materials,composite materials.The continuous development of teaching materials is accompanied by constant changes in the way of learning.The process of changing the teaching materials from a single paper textbook to a new media textbook with "teaching materials + digital resources" is also a process in which the degree of informatization of learning methods is continuously improving.The continuous increase in the degree of informatization has led to more and more textbook resources being integrated into the original paper teaching materials through information technology.Compound textbooks have received more and more attention.The two-dimensional code technology is the most common information technology tool for connecting teaching resources in new media textbooks,and it is also the most widely used technology in the digital learning method.However,in April 2017,the Ministry of Education clearly stated that the teaching materials for primary and secondary schools No links,URLs,QR codes,etc.,which provide additional teaching aids,may appear.In this situation,there is a need for a new way to integrate teaching resources.The author studies the integration of teaching resources based on convolutional neural network technology in the field of artificial intelligence.The method of integrating teaching resources using convolutional neural network technology is to use the convolutional neural network technology to develop the Arduino device recognition program.Learners use the Arduino device recognition program to acquire device-related learning resources during the learning process,and then carry out learning.This article first elaborates the research background,research status,research problems,research methods,and expected research results and innovations of the project.Then it elaborates the relevant theoretical basis of the convolutional neural network used in the paper.Then it designs a convolutional neural network.The teaching resource integration method includes the design of the Arduino device recognition program based on convolutional neural network and the construction of the Arduino device learning resource library.Then the convolutional neural network model is designed based on the convolutional neural network-based teaching resource integration method design.Functional testing,but also in the actual teaching activities to test,and through user interviews to understand the user evaluation;Finally,according to the test results and interview results to optimize the program,and then optimize the program for another test.The study found that learners can use the Arduino device recognition program based on the convolutional neural network to learn more smoothly in the learning process,and the learning efficiency is higher.Meanwhile,the recognition program meets the needs of learners,and learners can accept and be satisfied with this.Learning methods;recognition programs to directly access teaching resources through devices,innovative ways of interaction between learners and learning resources in Arduino learning,learners who have questions about the devices used in their learning activities,through scanning devices Asking questions,the recognition program makes feedback based on the identified device and realizes a dialogue between the student and the course content.