Quality Evaluation And Influencing Factors Of Real-time Interactive Online Teaching From The Perspective Of Deep Learning

In the past two years,the epidemic has been repeated,which makes online teaching a new "normal" teaching method in such an extraordinary period.Accordingly,the teaching effect of this teaching method has become an extremely noteworthy problem.This study systematically investigates and evaluates the teaching quality of real-time interactive online teaching from the perspective of deep learning,and analyzes the factors affecting the teaching quality of this teaching method.Through the analysis of relevant theoretical research results,we find that in the horizontal time dimension,deep learning can be defined from two aspects: process and result.On the vertical level,according to the depth of students’ learning,we can distinguish five levels,which are understanding,transfer,analysis,evaluation and creation.Based on the above theoretical research,we have compiled a real-time interactive online teaching quality evaluation tool.The learners who had such experience were randomly evaluated.The evaluation results show that:（1）in the dimension of deep learning process,teachers can lead students to carry out in-depth teaching activities,but the level of in-depth teaching is not high,more complex,and less evaluation and creative activities requiring in-depth communication are carried out;（2）In the dimension of deep learning results,the overall effect of learners’ online learning is not ideal.Students’ learning can reach a certain level,but its depth level is limited,and the overall level of deep learning is not high.And the higher the level of deep learning,the more difficult it is for students to achieve;（3）The comparative analysis of process experience and effectiveness shows that the level of in-depth learning under the leadership of teachers is significantly higher than the level of tasks that students can complete independently.In the teaching process,students can have better in-depth learning under the leadership of teachers,but when they complete tasks independently,their task level is not satisfactory,and there is a certain gap with the former.Therefore,in general,the quality of online teaching from the perspective of deep learning is not ideal.Further research shows that this situation is related to the following factors.The first is the personal factors of students,including students’ online learning self-discipline（not strong）,attention concentration（not high）,interactive participation in the teaching process（low）and students’ familiarity with the teaching platform（relatively weak）.Teachers’ factors include: Teachers’ familiarity with online teaching tools（not strong）,the choice of teaching methods（unreasonable）,and teachers’ classroom teaching management（loose）.In addition,in terms of environment: the online conditions of teachers and students（unsatisfactory）,the functions of online teaching platform（unable to fully meet the teaching needs）,and the physics learning environment in which students are located（often disturbed）.In this case,the interaction between teachers and students is bound to be limited by the online teaching environment.It is difficult to fully carry out more in-depth teaching and learning,and to form a strong classroom learning atmosphere.It is understandable that the teaching quality is not ideal.Further analysis shows that behind many problems existing in students and teachers,there is the shadow of environmental factors,and the influencing factors of environment are more rooted.