Research On Blended Teaching Strategy Based On Knowledge Classification

Blended learning combines face-to-face and online learning.Blended teaching is a teaching model in a blended learning environment,which makes up for the shortcomings of simple face-to-face teaching or online teaching.Therefore,the emergence of blended learning has aroused great attention in the field of educational theory and practice.Blended learning not only helps teachers to teach knowledge,facilitate learners to learn knowledge,but also makes teaching and learning more convenient and efficient,and helps people save time.However,how can face-to-face teaching and online teaching achieve the best combination?This is a question worth thinking.There is a big difference between blended teaching and traditional face-to-face teaching,and teachers need to consider certain knowledge points suitable for face-to-face teaching or online teaching.Through case study,this paper takes the high school chemistry curriculum as an example,analyzes the teaching characteristics of the knowledge through the classification of the course knowledge,and combines relevant data analysis to study how to better implement the blended teaching.In this paper,we'll start with the current status of blended learning,the concept of the knowledge classification and blended learning,and introduces several ways of knowledge classification and multiple application models of blended learning.Secondly,on the base of the study of related knowledge classification theory,this paper proposes a classification method for all knowledge in the compulsory second senior Chemistry textbook for Jiangsu,and classifies all knowledge in the textbook into five categories:declarative knowledge and conceptual type knowledge,regular knowledge,basic skill knowledge,problem-solving knowledge.Then,on the base of relevant theories,we analyze the teaching characteristics of the above five classifications of knowledge,the psychological processes of students acquiring knowledge,the teachers' teaching methods,and make selections of the teaching models that suitable for each classification knowledge.In the analysis of various classification knowledge,the most effective way to help learners to achieve the knowledge goal in the cognitive field,skill field and affective field is analyzed according to cognitive psychology.Finally,this paper analyzes specific teaching cases and performance data.In the analysis of the academic performance data,the accuracy of the selection results is verified.This paper proposes a blended teaching strategy based on knowledge classification,and studies whether there will be different teaching effects in different teaching models based on different knowledge classification.The blended teaching strategy proposed in this paper is not only applicable to the courses in this experiment,but also has certain universality and guidance for other courses.For different courses in colleges and universities,teachers can combine their teaching characteristics and implement the blended teaching strategy.