With the in-depth reform of education,taking students as the center,letting students master the basic knowledge of the theory,but also training students’practical skills,is an important goal of the current artificial...With the in-depth reform of education,taking students as the center,letting students master the basic knowledge of the theory,but also training students’practical skills,is an important goal of the current artificial intelligence curriculum teaching reform.As a new learning method,deep learning is applied to the teaching of artificial intelligence courses,which can not only give play to students’subjective initiative,but also improve the efficiency of students’classroom learning.In order to explore the specific application of deep learning in the teaching of artificial intelligence courses,this article analyzes the key points of the application of deep learning in artificial intelligence courses.In addition,further explores the application strategies of deep learning in artificial intelligence courses.As it aims to provide some useful references to improve the actual efficiency of artificial intelligence course teaching.展开更多
Given the swift evolution of the artificial intelligence(AI)industry and technology,there arises an urgent necessity to innovate the pedagogical approach of AI courses within universities,ensuring alignment with the c...Given the swift evolution of the artificial intelligence(AI)industry and technology,there arises an urgent necessity to innovate the pedagogical approach of AI courses within universities,ensuring alignment with the contemporary demands for talent development.This study seeks to develop a hybrid teaching model that integrates both online and offline resources in AI courses,by leveraging the CDIO(Conceive,Design,Implement,Operate)framework for engineering education.This model aims to reform traditional teaching methods,thereby augmenting students'engineering practice skills and fostering innovative thinking.Additionally,this research explores potential challenges and proffers strategic solutions,providing insightful perspectives on the blended online and offline teaching reform of AI courses within higher education institutions.展开更多
文摘With the in-depth reform of education,taking students as the center,letting students master the basic knowledge of the theory,but also training students’practical skills,is an important goal of the current artificial intelligence curriculum teaching reform.As a new learning method,deep learning is applied to the teaching of artificial intelligence courses,which can not only give play to students’subjective initiative,but also improve the efficiency of students’classroom learning.In order to explore the specific application of deep learning in the teaching of artificial intelligence courses,this article analyzes the key points of the application of deep learning in artificial intelligence courses.In addition,further explores the application strategies of deep learning in artificial intelligence courses.As it aims to provide some useful references to improve the actual efficiency of artificial intelligence course teaching.
基金This research was funded in part by Special Project for the Reform of Education and Teaching in Central Colleges:No.E2024037in part by the Fundamental Research Funds for the Central Universities:No.PHD2023-028.
文摘Given the swift evolution of the artificial intelligence(AI)industry and technology,there arises an urgent necessity to innovate the pedagogical approach of AI courses within universities,ensuring alignment with the contemporary demands for talent development.This study seeks to develop a hybrid teaching model that integrates both online and offline resources in AI courses,by leveraging the CDIO(Conceive,Design,Implement,Operate)framework for engineering education.This model aims to reform traditional teaching methods,thereby augmenting students'engineering practice skills and fostering innovative thinking.Additionally,this research explores potential challenges and proffers strategic solutions,providing insightful perspectives on the blended online and offline teaching reform of AI courses within higher education institutions.
