I. Stimulate students' interest in learning so that students are willing to actively and positively participate in data analysis activities.
Data analysis must face a pile of data, not to mention children, or adults, may feel boring. Therefore, it is necessary to find ways to stimulate students' motivation to learn. For example, choose the right material. In the choice of material, we can consider the content closely related to the students' daily life, in order to stimulate students' interest. For example, it is introduced with the cartoons that students like to watch. The teacher asked the students usually like to watch what kind of cartoons, the students may turnip greens each have their own favorites, the teacher let the students initial statistics of the favorite several, and then do a statistical chart or statistical table. Or investigate the class height, weight, etc., these materials are closely related to the students' learning life, it is easy to cause their **** Ming.
Second, encourage students to think, so that students in the process of revising their own ideas to master data analysis methods.
Data analysis is a complex thinking process. Teachers should inspire students to think for themselves. Through data analysis, students extract relevant information from it and choose different methods according to different backgrounds, so as to cultivate the flexibility of students' thinking. For example, we can also show a "a shopping mall throughout the year shirt and down jacket sales statistics" statistical charts were listed on the sales of clothes and months, but did not indicate the specific kind of clothes, and then let the students complete the homework, according to the sales of two kinds of clothes with the change of seasonal changes in sales, and that kind of clothes in what season sales are the most! The students will then be asked to complete the assignment, according to the sales situation to say how the sales of the two kinds of clothes change with the change of seasons, that kind of clothes in what season the most popular sales, many students will take the risk of answering the question, do not relate to the reality of life, which is likely to be lost. At this time, students need to actively use their brains, linked to the actual conclusion that the sales of shirts in summer is the peak season, winter is the off-season; and down jacket is just the opposite! Thus, it is easy to judge the kind of clothes in trouble!
Three, strengthen the classification and comparison ability training.
Classification and comparison is to determine the relationship between the similarities and differences between things in the thinking process and method, is conducive to promoting the formation of students to analyze the concept of data. Teachers in teaching to guide students to form a certain standard of knowledge or characteristics, systematic sorting, classification, comparison, integration, can make the students' cognitive composition of the sequence, the formation of a certain structure, into a systematic whole, so as to obtain the structural knowledge, cultivated the students data analysis concept. For example, in the teaching of "percent", the teacher guides students to the meaning, nature, operation and application of percent were categorized and compared, so that students realize that percent is a special fraction. In this way, the knowledge of percentages into the knowledge system of fractions, so that the students of the original knowledge structure of the relevant knowledge from the "generalized" to "centralized", learning naturally much easier.
Four, emphasize the training of analysis and synthesis ability.
Analysis and synthesis are the two sides of the concept of student data analysis. It is the basic process of thinking and the basic way for students to acquire knowledge and basic ability. Analysis and synthesis are widely used in elementary school mathematics learning, through analysis can understand the elements of a certain mathematical knowledge and the connection between old and new knowledge. Through the synthesis and have a comprehensive and overall understanding of mathematical knowledge.