The Study On The Desigh Of Network Course Learning Activities Based On Deep Learning

The highly informationized era of the knowledge economy requires learners to have a deep understanding of the complex knowledge content,process reasonably,construct their own unique knowledge system,apply the theory to practice,solve practical problems effectively.Nowadays,deep learning not only becomes an important learning concept,but also an effective learning method.It has attracted the attention of researchers and learners.At present,deep learning has been set by many countries and regions as the goal of educational change in the new century.Advances in science and technology have improved the online learning environment for learners.The change in the form of teaching has also changed learners' attitudes and methods of learning.This reflects the advantages of online courses,but it still needs to be improved in terms of promoting learners' deep cognitive.Learning activities are an important part of online teaching.This research studies the design of online learning activities based on deep learning and has certain theoretical and practical significance for improving the quality of online courses.This thesis firstly adopts constructivism theory and activity theory as the theoretical support of the research.Based on the concept and characteristics of deep learning,this paper proposes the design strategies of the online curriculum learning activities: constructing high-quality learning resources based on the curriculum content;focusing on applied activities,establishing Systematic learning process;taking the stage evaluation as the key point,adopting multi-dimensional learning evaluation;taking the deep learning as the core,creating an integrated learning environment.The framework of the online course learning activities was constructed,and the activity of the online course learning was systematically designed,which included the types of activities such as understanding,application and evaluation.In accordance with the "study of the situation,shoot the arrow at the target," "reasonable planning,efficient implementation","multi-appraisal,in-depth reflection" three links to carry out the teaching practice of online courses.Using the ROST CM6 content mining software,referring to the session type classification method,and counting learning process questionnaire,analysing the learning effects of teaching process,the learning effect exhibits "conversation content is enriched and there are many kinds of communication" on the learning content;"mixed approach,learning methods are varied" in emotional attitudes,there are "less negative emotions and positive emotional growth." This verifies the learning effect and feasibility of the online course learning activities based on deep learning.The design and implementation of Network Course learning activities is a systematic project.It seeks out its characteristics and laws from the experimental teaching of multi-disciplinary courses,expands the dimensions of learning effect analysis,and strengthens the study of evaluation standards for deep learning so as to promote learners learn deeply in online courses.