Research On Online Course Design Strategies From The Perspective Of Deep Learning

With the development of information technology and the continuous deepening of education and teaching reform,online open courses have become one of the important development directions of higher education reform.The state has issued a series of documents to help curriculum construction.Among them,the "Double Ten Thousand Plan" has vigorously promoted the development of online courses.Online courses are one of the first-class undergraduate courses in five types of colleges and universities established by the Ministry of Education.In this research,online open courses,online courses,and online courses refer to the same concept.This article uses the term "online courses",and the policy documents involved use "online courses".With the rapid development of online courses,a series of problems have also arisen from the reality of massive amounts of information,diverse technologies,and complex approaches.Online courses are easy to become "a hotbed of shallow learning",and the quality of online courses needs to be improved.And deep learning provides path exploration for promoting the grounding and rooting of teaching reform and accelerating the cultivation of talents with high-level abilities.Based on the perspective of deep learning,this research focuses on online course design.What are the connotations and characteristics of deep learning? What are the elements and principles of online course design? What are the current status and needs of learners for online learning?What are the key strategies for online course design from the perspective of deep learning? Research on several issues to draw conclusions,in order to provide references for deep learning related research,and at the same time provide methods and ideas for the theoretical research and practical application of online course design.In terms of research methods,this research uses the literature research method to analyze online course design and deep learning related literature,sort out the research status of deep learning and online course design,and put forward research questions.And further summarize and condense the conceptual connotation and characteristics of deep learning,the characteristics of online courses and the basic principles of design.On this basis,it demonstrates the appropriateness of deep learning to guide the design of online courses.In addition,a case study of some of the first-class online courses in some countries was carried out,and the common advantages of first-class online course design were summarized.At the same time,the current situation of online learning and course service needs of MOOC students were analyzed through questionnaire survey.In summary,the online course design strategy under the perspective of deep learning is proposed,and the strategy is applied to the MOOC course of "Information Teaching Methods and Technology",and the effectiveness of the strategy is verified through three rounds of action research and the strategy is further improved.The main conclusions of the study are:First,the design of online courses guided by deep learning is appropriate.Second,there are four principles for online course design from the perspective of deep learning,which are: learner-centered,focus on high-level ability training,problem-solving-oriented,and deep interaction.Third,the online course design strategies from the perspective of deep learning include: 1.Target design strategy: Curriculum objectives focus on learning output and focus on high-level ability training;2.Content design strategy:(1)Content selection and organization: advancement and practicality Coexistence to promote understanding and transfer application;(2)The resource forms are rich and diverse,and deep participation is promoted;(3)Learning video embedded test is helpful for critical understanding;(4)Provide teaching examples to help information integration and transfer application;3.Activity design strategy:(1)Combine realistic themes to set up discussions to promote problem solving;(2)Teachers reply to posts and answer questions in a timely manner,monitor reminders,and promote students to actively construct;4.Teaching evaluation strategies:(1)Set up gradient assessments and extend the assessment time appropriately;(2)Mutual evaluation increases teacher ratings and provide examples of excellent homework;5.Learning support service strategies:(1)Release guidance materials and provide guidance support services;(2)Multi-channels Publish course information to remind learning progress;(3)Quick answer and comment in time,feedback on learning situation;(4)Develop learning group activities and create reward mechanism.Fourth,conduct three rounds of action research on the proposed design strategy.Practice has proved that the online course design strategy from the perspective of deep learning proposed by the research is effective.The online course design strategy from the perspective of deep learning proposed in this study can provide theoretical references for online course design and development,and at the same time provide methods and ideas for the practice of improving the quality of online teaching.The lack of research is as follows: First,due to conditions,the strategy proposed by the research is mainly for MOOC courses and is only applied to one MOOC course of education and teaching.The sample size of the research is limited,and the universality of the conclusions needs to be further explored;second,because the author The research experience is limited,and the research cycle is short,and the data mining is not deep enough,which needs to be improved and perfected.