| With the wide application of artificial intelligence technology,the demand for talents in the field of artificial intelligence increases rapidly in enterprises,and artificial intelligence trainer has become one of the hot jobs.However,there is a huge talent gap in the field,especially for trainers with skills such as deep-learning.This has caused problems for the development of enterprises,but it has also provided employment opportunities for secondary vocational students.In 2017,The State Council issued the Development Plan for the New Generation of Artificial Intelligence,proposing the formation of a number of global leading AI scientific and technological innovation and talent training bases.By the end of 2022,251 schools had offered AI majors,and some primary and middle schools began to develop AIrelated courses.Some secondary vocational schools in Guangdong have also begun exploring AI courses.However,the setting of curriculum and the development of curriculum resources have become the key problems urgently needed to be solved.Deep learning,an important branch of machine learning,is the core technology of current artificial intelligence technology.At present,deep learning has not been incorporated into the training system as an independent course in many schools,especially the deep learning courses for secondary vocational students are lacking.This may lead to the problem of mismatch between the cultivated talents and the actual jobs.Therefore,this study aims to develop the Deep Learning course for secondary vocational students,which mainly includes the research and analysis of the current situation of the course,vocational demand analysis,curriculum resource development,etc.The main work is as follows:1.Analyzed the status quo of deep learning courses and competency-based curriculum research at home and abroad.With the keywords of "artificial intelligence","deep learning" and "competencybased education",CNKI and other databases were used to search and sort out the current situation and course content of artificial intelligence professional curriculum at home and abroad.At the same time,this paper use the way of questionnaire survey from the students’ learning level of knowledge,artificial intelligence literacy,learning needs and other aspects of the study situation analysis.2.The job demand analysis of deep learning oriented job group is carried out.Based on the results of the job survey,through interviews with front-line employees of AI enterprises,the vocational abilities required by AI algorithm test engineers for employment of secondary vocational students are analyzed,and link professional competence with the course content of Deep Learning.According to the content of vocational ability connection,the courses are divided into five parts: artificial intelligence,deep learning,cognitive data,application of deep learning,and the world of deep learning.3.The course resources of "Deep Learning" course based on competence are constructed.According to the content organization of Deep Learning,curriculum resources were developed,including multimedia courseware and micro-lesson videos of key parts.In addition,taking "Image Recognition: Fruit Detection",Section 3 of Task 1 in the application of cognitive deep learning,as an example,the case design of "Deep Learning" course is presented with the help of AI Studio.4.A method to evaluate the effect of deep learning curriculum implementation is proposed.According to the vocational ability model obtained from the analysis,combined with the national vocational ability standard of artificial intelligence trainers,this paper designed the corresponding course evaluation and course assessment methods.To sum up,this paper systematically develops the content and course resources of "Deep Learning" and connects it with the employment position of artificial intelligence algorithm tester which help secondary vocational students deeply understand the basic principles and process of deep learning,enhance their interest in deep learning technology,and help them propose corresponding deep learning technology solutions based on actual scenarios to enhance their employment competitiveness. |
