Research On Plane Vector Teaching Based On Deep Learning

Under the background of developing students’ core literacy,deep learning has become a new trend of curriculum reform,which has attracted extensive attention from scholars in the research field.Deep learning is a new way of learning,which aims to cultivate students’ key abilities in cognitive,interpersonal and personal fields.It is characterized by initiative,understanding,transferability,criticality and creativity.Plane vector is an important content of high school mathematics.It has rich physical background and profound mathematical connotation.It is a bridge between geometry and algebra.The in-depth teaching of plane vector is conducive to the deep exploration of the mathematical essence of vector concepts and theorems,and to the cultivation of students’ high-level thinking and problem-solving ability.This research mainly takes plane vector as the carrier to discuss how to promote students’ deep learning in plane vector teaching.The research methods are literature research,questionnaire survey and interview.The paper consists of the following parts:The first chapter introduces the research background,research content,research significance and research methods.In the second chapter,the research status of deep learning and plane vector at home and abroad is summarized through literature research method.Then,then the concepts of deep learning and mathematical deep learning are defined,and the theoretical basis of Bloom’s goal taxonomy,metacognitive theory and constructivism learning theory is determined.In the third chapter,a questionnaire survey was conducted on the current situation of deep mathematics learning of high school students,and SPSS and Excel analysis were conducted combined with the collected data.Through interviews with front-line teachers,the teaching status of plane vector and the difficulties of students’ learning were understood.In the fourth chapter,according to the deep learning level of high school students,the current situation of plane vector teaching and plane vector teaching combines the mathematics curriculum standard and students.In the fifth chapter,take "the concept of plane vector" and "the basic theorem of plane vector" as examples,and give the plane vector teaching design based on deep learning.Chapter 6: summarize the research and reflect on the shortcomings.The results show that: 1.At present,high school students have a high average of learning orientation dimension,active construction dimension and interpersonal field,and the mean average of understanding integration,transfer application,critical questioning and reflection ability is low,indicating that high school students have certain mathematical deep learning ability,but the depth level is low.2.In plane vector teaching,students learn concepts and theorems at a shallow level,and do not have a deep understanding.3.Develop plane vector teaching strategy based on deep learning: create physical problem situation to stimulate enthusiasm and initiative;deepen knowledge construction understanding by analogy transfer learning;promote the development of high-order thinking based on problem drive;and guide deep thinking and reflection through classroom summary,this teaching strategy has certain feasibility,and can promote students’ deep learning in plane vector teaching.