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The Embodiment and Application of Hierarchical Teaching Thought in 5D Smart Classroom
We believe that hierarchical teaching is not only a teaching method, but also a teaching idea, which permeates every teaching method and runs through every link of teaching.

? Hierarchical teaching means that teachers scientifically divide students into several groups according to their existing knowledge and ability level and potential tendency, and treat these groups differently, so as to get the best development and improvement in teachers' appropriate stratification strategy and interaction. In stratified teaching, two points have been highly valued. The first is the existing knowledge and ability level of students, and the second is that all students should improve accordingly.

? We believe that students' knowledge and ability level is not static, but a process of constant change and development, and it is a dynamic process, so what our school is currently conducting is the teaching exploration of 5D smart classroom under the guidance of hierarchical teaching thought.

The so-called 5D smart classroom means that there are five keywords starting with D, one is data, that is, data; The second is demand, namely demand, and the third is delivery, namely delivery; The fourth is diving, that is, deep exploration; Fifth, dynamics are dynamic and energetic. In the five-dimensional wisdom classroom, we emphasize that students' learning situation is determined by data, demand is determined by learning situation, and demand is determined by delivery. Under the guidance of teachers, guide students to explore deeply and create a dynamic classroom. ?

? Let's talk about the experiment and exploration of 5d smart classroom under the guidance of hierarchical teaching thought.

? First, we will group the students before class. Generally speaking, we use a group of four or six people. In the distribution of team members, we embody stratification. Generally speaking, among the group members, according to the different ability levels of students, we will let each group have both good students, medium students and slightly weak students. This kind of grouping is conducive to students' selective completion of learning tasks and exercises set for their level in class, and at the same time, it can also realize "teaching soldiers by soldiers" in groups. Students with good level can actively help students with poor level, and finally achieve * * * progress.

? In the classroom, the idea of hierarchical teaching runs through the whole process of classroom teaching. Our 5d wisdom classroom is divided into three parts: before class, during class and after class. Before class, the teacher will record the knowledge points to be talked about the next day as micro-videos, and release them to the students through their learning terminals. At the same time as the micro-video, there are supporting exercises. In the supporting exercises, the teacher will divide the exercises to be done into one star, two stars and three stars according to the degree of difficulty. In the teacher's computer background, you can see the progress and accuracy of students' completion of the topic. According to the analysis of big data, you can accurately locate and understand the problems that students encounter when doing these preview questions, the degree of mastery, which students master well and which students do not. According to the big data analysis, the teacher decides which knowledge points to talk about in class the next day, and which knowledge points can be briefly talked about. At the same time, according to the accurate analysis of big data, teachers can judge the different effects of different students in preview, and give students preview tasks for the second time. According to the feedback of the first big data, teachers can publish difficult topics to students with good level, regular exercise topics to students with average level, and the most basic topics to students with poor preview effect. In this way, all students can preview effectively, thus ensuring the effectiveness of the next day's class. ?

? The second link is class. In the classroom, the teacher will decide the knowledge points to be talked about in his classroom according to the big data feedback from the two exercises on the first day. This is based on the learning situation to determine the needs. In the classroom, we advocate the problem-oriented analysis classroom. In this class, we advocate teacher's guidance, students' inquiry, peer assistance, students' explanation and teachers' induction and summary.

? In the process of inquiry, the idea of hierarchical teaching is once again embodied. Teachers will mark the questions that students need to explore with one star, two stars and three stars, and use stars to represent different difficulties. When these questions are posted to students' learning terminals, students in each group can choose the corresponding difficult questions to practice according to their actual situation. After practice, the team members can check the answers together. At this time, students who can do three-star problems can help two-star and one-star students solve difficult problems, so as to realize the learning mode of "teaching soldiers with soldiers", which is also called peer assistance. We often say that teaching and learning learn from each other, so when Samsung students help two-star or one-star students, the process of their inquiry is also a process of their own improvement. After the group inquiry, the teacher will invite students from each group to take the stage to act as small teachers. Three-star students talk about three-star problems, two-star students talk about two-star problems, and one-star students talk about one-star problems, so that students at different levels can win applause in class and get a successful experience, which greatly promotes students' active learning. ?

? Students discuss and speak in groups. After the teacher's guidance, the teacher will release the third set of exercises to the students in time through the teacher's machine, which is equivalent to a quiz. Of course, in the third question, we will also set the question to one star, two stars or three stars according to the difficulty. After the students upload, the background data analysis can give the teacher an accurate analysis, and the teacher can compare this data analysis with the data analysis in the preview to judge the teaching effect of this lesson. If the accuracy of the topic is higher than that of the preview, it means that the teaching of this class is effective, while if the accuracy of the in-class test is lower than that of the preview, it means that there may be some problems in my class and students need further counseling in the cram school. At the same time, students can be analyzed vertically. For example, if the accuracy of a one-star student is obviously improved when doing this quiz, then you can try to give him a two-star question. ?

We believe that students' learning ability and learning state are not static, but a process of constant change and development. A star student may not always be a star. He may also slowly internalize his knowledge through the sense of accomplishment gained in his study, intensive classes of teachers and mutual help of his peers, and he can also reach the level of two stars. We should pay attention to students with a dynamic development view. If he does do exercises, his level has actually improved, and he can be given a more difficult topic than he is now, which is also a very good promotion for the development of students.

? The third link is after class. After class, it still embodies the idea of layered teaching. Generally speaking, when teachers assign homework and continue to push exercises to students after class, they can push different topics to different students according to preview and students' performance in class. At the same time, according to the differences between preview and in-class test, we can judge which students' ability has improved, which students can push questions at a higher level and which students will continue to do basic questions. Under the background of accurate analysis of big data, the implementation of hierarchical teaching, hierarchical counseling and hierarchical push exercises can make students' learning more targeted and timely, and can also greatly promote students' learning desire, learning desire, learning happiness and positive learning attitude, and constantly stimulate them to gain a sense of accomplishment and satisfaction from learning. ?

? It's been almost two years since we asked in the 5d Smart Class. In the process of implementation, we always put the idea of hierarchical teaching throughout the whole process, and it has indeed received very good results. Many students who were rated as one star by their teachers at the beginning, through the help of their peers, the guidance of teachers, and the precise practice under the background of big data, have gradually improved their ability, and he has progressed from one star to two stars. Similarly, some two-star students have progressed to Samsung. Therefore, in the context of smart classroom, hierarchical teaching is more accurate, efficient and humanized.