A Study On The Evaluation Of High School Physics Deep Learning

Deep learning is gradually becoming hotspot in domestic and overseas education researches.Research on deep learning evaluation is born at right moment,while domestic researches on deep physics learning are not mature.The major objective of deep learning is to cultivate the deep learning mode and thinking structure of students.Therefore,this paper mainly relies on scale to evaluate whether the students adopt deep learning mode in the physics learning process;this research bases on SOLO taxonomy to design test questions,depends on the thinking structure layer of students to evaluate whether they have reached to deep learning level,wherein,the main researches are as follows:Study 1: Develop a tool to evaluate the deep learning of physics for high school students.According to the characteristics and criteria of deep learning in physics,the concept basis of "interaction and Newton's law of motion" and "magnetic field" in high school were teased out.Based on the thinking structure level evaluation of SOLO taxonomy,test questions for high school physics deep learning(hereinafter referred to as test questions)was compiled,composing the knowledge of the interaction and the Newton's law of motion.Study 2: Test the validity of test questions.According to the high school students' deep learning evaluation scale,which is internationally recognized,got the high school students' physics deep learning evaluation scale(hereinafter referred to as the scale).It is proved to be reliable by testing.Consultation by experts makes the scale have good content validity.The results show that there is a significant correlation between the scale and test questions.It shows that the method of this study is feasible to evaluate students' deep learning of physics.Study 3: investigate the current situation of high school students' physical deep learning.Using the scale and test questions,I came to the following conclusions: 1 In the terms of learning process,most students are inclined to adopt deep learning methods.Specific to motivation and strategy,most students use deep strategies,but students with deep learning motivation are fewer than surface learning motivation.Overall,With the deepening of learning,the average scores of high school students in the deep learning level have improved,but there is no significant difference.2 In terms of thinking structure,largest proportion of grade 10 and grade 11 students are at the relational correspond to low-level of deep learning;The number of multi structural high-level of surface learning,students is second,extended abstract correspond to high-level of deep learning and unistructural level correspond to low-level of surface learning are the fewest.And as the grade increases,the proportion of students at each level of deep learning is roughly the same.This research provides new perspective and method for deep physics learning evaluation of middle school students,and the teachers can adopt this method to evaluate each student and conduct targeted cultivation thus to promote each student to reach to deep learning level.