Research On The Development Of “Deep Learning” Course In Secondary Vocational School Based On Educational Objective Classification Theory

At present,scientific and technological innovation has entered an unprecedentedly intensive and active period,which has attracted great attention from countries all over the world.Artificial intelligence is an important driving force of the technological revolution.Our country has issued the "New Generation Artificial Intelligence Development Plan",which affirmed the strategic position of artificial intelligence technology and promoted the development of artificial intelligence technology.Education is the basis for the development of science and technology and the training of talents.Secondary vocational education is an important position for the country to train technical talents.Artificial intelligence education has become the development trend of modern secondary vocational education.At present,there are many problems in artificial intelligence education in secondary vocational schools,including the course content is not updated in time,the curriculum design lacks interest and innovation,and the teaching process attaches more importance to theory than to practice,etc.Many scholars have put forward suggestions on teaching methods,curriculum design and curriculum resources of artificial intelligence.However,the existing research lacks teaching implementation methods and approaches,especially the research reports on the development of deep learning courses for secondary vocational students.In response to the above problems,this article has explored and practiced in the following four aspects:(1)The current situation of artificial intelligence courses at home and abroad is analyzed.Taking "artificial intelligence + education" as the key word,using CNKI and other databases to search,sort out the methods and content of artificial intelligence teaching at home and abroad;at the same time,it is aimed at secondary vocational students,from the area of students,school platform resources,artificial intelligence curriculum status a questionnaire survey was designed in terms of classroom learning methods and ability improvement needs,and carried on the study situation analysis.The teaching theory,teaching methods and learning methods of this article were given.(2)Constructed online/offline course resources.Based on the We Chat official account,an online teaching resource platform for deep learning was created,including intelligent software,intelligent hardware,course evaluation and work display modules.Among them,the intelligent software involves MCU programming,Easy DL and APP programming materials.And the intelligent hardware covers PCB fabrication and product design materials.The course evaluation includes pre-class survey,in-class evaluation and after-class questionnaire evaluation.In addition,the offline artificial intelligence deep learning suite Set4Kid-AIL is developed,including deep learning API decision module and intelligent hardware perception execution module,to provide practical support for intelligent garbage sorting projects.(3)Implemented the integration of theory and practice course teaching.Taking the intelligent waste classification project as the course task,the division of tasks between teachers and students before,during and after class was formulated.And the whole process of teaching data preparation,model creation,parameter training,API generation and verification,and API application deep learning algorithm was carried out.(4)Evaluated the implementation effect of deep learning courses.The course quality was evaluated based on the feedback of students from three time dimensions:pre-class,in-class and after-class.A combination of process evaluation and result evaluation is used in the class to evaluate students’ learning,monitor the students’ learning process and learning results.Issue a course satisfaction survey questionnaire after class,design the overall evaluation of the course,the appropriateness of teaching content,and the appropriateness of teaching resources,The five dimensions of the appropriateness of teaching methods and the improvement of ability are statistically analyzed the effects of the design and implementation of this course.The research results show that secondary vocational students recognize the course content,curriculum resources,and teaching methods.The deep learning curriculum design is suitable for the knowledge structure and development needs of secondary vocational students.Secondary vocational students can master the basic tool platform use and have a deep understanding of labor The basic concept of intelligence enhances students’ ability to apply artificial intelligence technology,and can put forward personalized ideas in combination with life scenarios,so that learning interest and enthusiasm are effectively improved.