Research On The Construction And Application Of High School Geography Classroom Teaching Evaluation Index System Based On Deep Learning

Nowadays,under the promotion of the deepening of the basic education curriculum revolution,as the Ministry of Education revises the general high school curriculum plan(2017 version)and the promulgation and implementation of the general high school curriculum standards of various disciplines(2017 version),the teaching field has increasingly focused on Cultivation of core literacy,while at the same time paying more attention to deep learning.Under this background,the research is based on Bloom's cognitive theory and SOLO classification theory,using literature research method,comprehensive analysis method,SOLO classification evaluation method,classroom observation method and empirical research method to understand the concepts,characteristics and depth of deep learning From the perspective of learning,the construction principles,construction process,evaluation dimensions,evaluation indicators,applicable conditions,class application and comparison of the index system were analyzed and studied,and the following conclusions were drawn:(1)Based on the analysis of the existing literature,combined with the research content,the concept of deep learning is defined as senior students based on the geography schoolroom educaion environment,under the effective guidance of teachers,on the basis of self-understanding,through refinement,interpretation,induction,contact,Evaluation,analysis,practice,etc.complete learning tasks,and finally realize a kind of high-input,high-cognition,high-output learning that changes from low-order thinking to high-order thinking.The characteristics of deep learning are high input,high cognition and high output.(2)Use the literature research method,comprehensive analysis method,follow the four principles of basicity,scientificity,course standard,and practicability,and construct process ideas based on three stages of divergence,convergence,and feedback,from qualitative and quantitative,from the perspective of the system,the dimensions of the evaluation index system and the subordinate indexes are specifically divided and designed,and a preliminary system for senior school geography schoolroom education based on deep learning has been initially constructed.This aspect is explained.(3)According to the established index system,the classroom observation scale is designed and applied with the help of Likert's 4-point scale scoring method and SOLO classification evaluation method.In order to ensure the reliability and validity of the system,the comparison and application of the observation list of Galton and others are especially used.The study found that the conclusions reached by the two are consistent.So,the connection about the three features of deep learning is obtained,that is,high input is the premise of deep learning,high cognition is a necessary condition for deep learning,and high output is the ultimate manifestation of deep learning.From the perspective of the connection about deep learning and core literacy,it is proposed that the evaluation index system based on deep learning can better reflect the students' geographic core literacy status,especially the output dimension.Finally,the established system is revised according to the application.The revised system including 3 dimensions,8 first-level indicators,19 second-level indicators.The research aims to build an system for high school geography schoolroom education from the perspective of deep learning,to evaluate and analyze the deep learning situation of students in teaching,with a view to better nurturing students' core geographic literacy,and provide theoretical support and reality for relevant research reference.