Research on Teaching Practices of Service Design Courses Oriented by Deep Learning
To adapt to the goal of cultivating postgraduate talents in the field of service design in a cross-disciplinary background,this study explores the teaching practice of service design courses guided by deep learning.Firstly,the existing research status of service design courses is investigated,and the necessity of reforming service design courses is analyzed.Secondly,the goals and implications of deep learning intervention in service design course teaching are elaborated.Thirdly,focusing on promoting students'deep learning,the analysis of teaching elements is carried out through expanding students'thinking,exploring teaching scenarios,and innovating course design.Finally,based on the process of teaching practice,a complete set of teaching strategies is summarized and reflected upon.The results indicate that this teaching practice can effectively stimulate students'intrinsic drive for learning innovation,guide attention to the forefront of service design research and practical applications,and achieve the teaching goal of knowledge upward transfer through deep learning.It provides new ideas and references for the research and practice of service design course teaching.
Deep LearningService DesignInterdisciplinaryTeaching Practice
NETL
NSTL
万方数据
