Discussion paper on senior high school mathematics teaching in the era of big data

Discussion paper on senior high school mathematics teaching in the era of big data

The arrival of the era of big data has brought great convenience to people's production and life, and also brought great influence to the innovative development of education and teaching. Therefore, in the era of big data, it is necessary to analyze the related concepts of big data, and then study the innovation and application of high school mathematics teaching methods in the era of big data, so as to improve the effectiveness of high school mathematics teaching.

Keywords: the era of big data; High school mathematics; teaching method

The development of information technology promotes the arrival of the era of big data, which not only increases the ways of knowledge acquisition, but also changes the traditional teaching methods of subjects, which has an important impact on promoting the reform of mathematics teaching in senior high schools. Therefore, in the era of big data, senior high school mathematics teachers should take advantage of the technical advantages of big data to reform the existing teaching mode and highlight the times of mathematics teaching, so that students can not only acquire corresponding knowledge in mathematics learning, but also establish correct values and promote the formation of senior high school students' comprehensive mathematics literacy, thus promoting the healthy development of senior high school mathematics. This article will be discussed in detail below.

1 big data related concepts

First, the concept of big data. Data is the source of knowledge and a way to record information. With the development of society and the progress of science, the amount of data is increasing, and the scope of recording, measuring and analyzing data is also expanding, which indicates that human beings have gained more and more knowledge and information. Big data can be understood from both macro and micro perspectives. Most scholars define the concept of big data from a macro perspective, that is, using new processing modes to improve the execution, insight and optimization ability of massive information. Big data has the characteristics of large amount of data, variety, truthfulness and effectiveness.

Second, the concept of big data analysis. Big data analysis is simply the scientific analysis of large-scale data, and the most fundamental purpose of analyzing these huge data resources is to discover and summarize the laws and patterns existing in these data, and then use the dynamic characteristics of data to predict the future development trend of things.

2 The application of high school mathematics teaching methods in the era of big data

2. 1 Use big data to change teachers' teaching roles.

First of all, the application of big data technology provides opportunities for the innovation of teachers' teaching mode. With the advent of the era of big data, the disadvantages of traditional teaching methods have gradually emerged, which not only reflects the incompatibility with modern society, but also affects the improvement of students' learning enthusiasm. Therefore, in the era of big data, teachers should use big data technology to carry out diversified teaching methods, such as cooperative inquiry and personalized teaching, to enrich the form and content of classroom teaching, so that students can no longer stick to learning content, and teachers can also carry out targeted teaching activities according to different stages of students. The change of teachers' teaching role and teaching mode emphasizes students' dominant position in the classroom, which plays an important role in invigorating the classroom atmosphere and improving the effectiveness of classroom teaching. For example, in the "Compilation" class, teachers can adopt the teaching method of cooperative inquiry. Firstly, students are divided into different groups according to their differences, and then different questions are designed to organize students to explore, such as: ① What is used to represent the set? Can a set be represented by an element? What is the relationship between a set and an element? (2) What are the characteristics of a set? Combine specific topics to judge. After that, exchange research results between groups. Then the teacher designs exercises that highlight the key points of this class and gives students the opportunity to exercise. Through this teaching method, organizing different students to brainstorm and help each other not only helps to promote the divergence of students' thinking, but also changes the teaching role of teachers and improves the efficiency of classroom learning.

Second, apply big data technology to deeply understand students' learning situation. In the traditional classroom teaching form, teachers pay too much attention to the improvement of students' academic performance and ignore the understanding of students, which leads to poor teaching pertinence and affects the teaching effect. Usually, teachers will analyze students' understanding through exams and in-class tests, but the results of this analysis are not accurate. In the era of big data, teachers can use big data technology to explore the real situation of students, and then fully understand students according to their personality differences. At the same time, teachers can use network technology to accurately judge students' interests and weaknesses, make their teaching activities meet students' learning needs, and highlight the pertinence of mathematics teaching.

2.2 Use big data to play the main role of students

First, apply big data to enhance students' interest in learning. Under the previous teaching methods, students are the recipients of knowledge, and some teachers even blindly pass on knowledge to students in order to improve teaching efficiency. However, this kind of spoon-feeding teaching method can not only stimulate students' interest in learning, but also cause students' resistance and boredom to learning, thus affecting the improvement of mathematics teaching efficiency. Therefore, in the era of big data, we should give full play to the advantages of big data, use big data technology to stimulate students' interest in learning, enrich the content of mathematics classroom, make students have the desire to actively seek knowledge and actively participate in teaching activities organized by teachers. The specific application of big data technology can be carried out in the following aspects. First of all, teachers can use the computer platform to design preview content, and then students can complete the exercises assigned by teachers themselves through the computer platform. Then teachers can use big data for data analysis, so that teachers can find the weak points and difficulties of students' learning before teaching. For example, teachers can use big data to analyze students' problems in "function" knowledge, and then understand students' mistakes and weaknesses, and then design corresponding course teaching plans accordingly. In this way, students can learn in the classroom according to the teacher's targeted teaching design, thus improving the effectiveness of classroom teaching.

Second, apply big data to improve students' learning autonomy. The key of subject teaching is to improve students' learning enthusiasm, so teachers should pay attention to the improvement of students' autonomy in senior high school mathematics teaching. In high school mathematics teaching, after-class knowledge consolidation and exercises are important parts to improve students' academic performance. However, in the past, students usually corrected and answered exercises by copying wrong questions by hand. This method has not achieved remarkable results. First, waste more study time. Second, the form is boring, students' learning autonomy is not high, and the effect of checking and filling gaps after finishing is not good. Therefore, big data technology can be applied to provide a platform for students' autonomous learning after class. With the support of big data technology, teachers can input students' previous test papers or questions in the process of answering questions into the computer system, and then students can download answers through the network, so that students can check for missing answers. Compared with the traditional form of error correction, this method has the characteristics of real-time, which is helpful for students to better grasp the content of error correction.

Third, the application of big data to carry out hierarchical teaching forms. At present, the classroom teaching of mathematics in senior high schools in China mostly adopts the unified class teaching form, which is single and fixed and lacks innovation, which is not only not conducive to stimulating students' enthusiasm for learning, but also affects students' personality, thus affecting the excavation of students' potential. "Teaching students in accordance with their aptitude" is a teaching concept put forward by Confucius. Therefore, in the big data environment, teachers should use big data technology, adopt hierarchical teaching methods, and combine the differences of each student to carry out different types of teaching activities. Every student is an independent individual, and there are differences in thinking, ability and physical and mental development. Therefore, carrying out hierarchical teaching activities according to the different characteristics of different students can not only meet students' hierarchical learning needs, but also effectively stimulate students' interest in learning. At the same time, teachers try different teaching methods and apply innovative teaching models in mathematics teaching, which can also enliven the classroom atmosphere and mobilize students' participation in class, thus achieving the purpose of improving students' learning effect.

2.3 Use big data to broaden students' access to knowledge.

In the era of big data, the amount of data and knowledge information is constantly expanding, and there are more and more contents that students can contact and learn. Therefore, teachers should use network information technology to collect and sort out more learning materials and information on the network, and then analyze and process these information in combination with specific teaching objectives and learning content, so as to improve teachers' teaching effect. In the big data environment, students can also use network technology to acquire mathematics resources independently, constantly enrich their learning content and simplify abstract mathematics knowledge. In addition, in the big data environment, teachers should provide students with authentic and reliable data teaching services, guide students to develop the awareness and ability to develop and apply data, and obtain data according to their own needs, which can also provide pertinence for teachers' teaching interaction and promote the progress between teachers and students. For example, in learning "sequence" class, teachers can guide students to preview before class by using the network, have a simple understanding of the knowledge of sequence class, and understand the basic knowledge points and concepts. After that, in the classroom, teachers can use multimedia technology to carry out specific teaching activities and display their teaching knowledge intuitively and vividly in front of students. After the course, the teacher organizes the students to answer their own questions, and then sorts out the wrong questions. This series of teaching activities can improve students' ability to use and develop big data technology, and play a key role in broadening students' access to knowledge and improving their learning efficiency.

2.4 Use big data to provide an educational platform for parents.

Family plays a very important role in students' education. Family is a student's first school. However, in the past, high school mathematics teaching did not attach importance to family education. Parents did not widely participate in school education, and the school did not provide parents with more opportunities for learning and education. Except for every parent-teacher meeting, teachers rarely see their parents at other times, so they rarely participate in students' learning. However, in the era of big data, the application of network technology provides a broad platform for communication between parents and school education. Parents can bind their accounts through fixed software, and then keep abreast of their children's class and after-school situation, so as to better understand their recent performance. At the same time, parents can also use these softwares to communicate with teachers, learn about students' study and life, and fully communicate and interact with teachers. So that parents can better cooperate with the school's educational activities, improve students' mathematics learning effect and promote students' healthy growth.

3 Conclusion

To sum up, in the era of big data, the amount of data is increasing, and the application of network technology is becoming more and more extensive. In this environment, developing high school mathematics teaching activities is not only conducive to innovating teachers' teaching ideas and teaching methods, but also conducive to stimulating students' interest in learning and improving students' enthusiasm for learning mathematics, thus achieving the purpose of promoting the teaching effect of big data. Mathematics in senior high school is a comprehensive subject, which can cultivate students' logical thinking and reasoning ability. Mathematics is also a subject closely related to people's daily life. Therefore, in the era of big data, teachers should make good use of big data information, give full play to the advantages of information technology in teaching, constantly improve their teaching role, highlight students' dominant position, broaden students' access to knowledge, and strengthen communication between parents and schools. To enable students to develop good habits and scientific learning methods that are willing to learn in the big data environment, promote the effective improvement of mathematics teaching in senior high schools, and promote the healthy growth of students' body and mind.

refer to

[1] Meng. High school mathematics teaching under the background of big data [J]. Audio-visual education in primary and secondary schools (second half) 20 18( 1):22.

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