| As an emerging teaching model,in addition to ensuring the sharing of high-quality educational resources,MOOC should also provide a complete learning experience service for its users.This requires special design and efficient organization of the learning activities involved in the MOOC course.In order to give users a high quality online learning experience.At the same time,through research,it is found that with the in-depth development of MOOC teaching practice,problems such as neglecting the design of learning activities,insufficient student participation,and lack of targeted guidance have begun to emerge.These problems lead students to the level of shallow learning,lack of active exploration,critical understanding,ability to transfer knowledge and solve practical problems,that is,they can not reach the level of deep learning.The deep learning ability has gradually become an important basis for evaluating the learning effect.The Horizon Report: 2016 Higher Education Edition has turned to deep learning as a key trend to accelerate the adoption of higher education technology.Based on the actual problems existing in the development of MOOC,this study conducts an empirical study on the design pattern of MOOC learning activities in the field of deep learning under the guidance of activity theory,mixed learning theory and online learning community theory,in order to improve the design of MOOC learning activities.Efficiency,promote the combination of MOOC teaching theory and practice,and promote the deep learning of learners.The specific research contents are as follows:(1)Using the systematic qualitative data analysis method formed in the rooted theory,the existing forms of MOOC learning activities are analyzed,and theclassification framework of MOOC learning activities exists.(2)Based on relevant theories and the support of existing research results at home and abroad,explore the design method of MOOC learning activities,and then construct the design pattern of MOOC learning activities in the depth learning field.(3)Under the guidance of the MOOC learning activity design pattern under the deep learning horizon constructed in the previous period,based on the MOOC course of the University Information Technology Foundation,an empirical study on the design of MOOC learning activities under the deep learning horizon was carried out.The author designed and launched the “Understanding Creation Activities”,“Interaction Sharing Activities”and “ Evaluation Reflection Activities ” in order to verify the feasibility and effectiveness of the MOOC learning activity design model in the depth learning perspective.Through the analysis of the effect of the implementation of the activity,it is found that the degree of deep learning of the learners participating in the three types of activities is a progressive trend,that is,the learner has experienced the entire knowledge construction process from shallow learning to deep learning.This shows that the MOOC learning activity design pattern in the depth learning perspective is effective. |
