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Correlation Analysis And Testing Research On High School "Common Logic Terms"

Posted on:2019-08-29Degree:MasterType:Thesis
Country:ChinaCandidate:A P PengFull Text:PDF
GTID:2417330542494997Subject:Subject teaching
Abstract/Summary:PDF Full Text Request
With the global warming of Artificial Intelligence,various countries have successively introduced relevant policies and strived to be in the forefront of this new field.The lagging education will inevitably be affected by related reforms.Turing,the father of artificial intelligence,is also a mathematician and a logician.It can be seen that logic and AI are inextricably linked.This study attempts to understand whether high school “common logical language” can promote students' logical thinking ability.After analyzing relevant literature and college entrance examination questions,the test volume was developed,tested and analyzed for seniors and sophomores.This study is divided into seven parts: The first chapter mainly introduces the background of the study,the reason and meaning of the topic.The second chapter analyzes the related curriculum standards at home and abroad as well as related literature.The third chapter analyzes the college entrance examination and related teaching materials.The fourth chapter is related to the theoretical basis for research.The fifth chapter mainly introduces the relevant logical reasoning tests for students before and after learning “common logical terms”,and gives some suggestions after analyzing the results.The sixth chapter mainly introduces the shortcomings and prospects of this study.Through this test analysis,we affirmed the "general logic language" role in the promotion of students' logical thinking ability,but at the same time,it also found that students have learning bottlenecks in the study of mathematical concepts and the application of some knowledge in "common logical language".Combining related issues,this study gives some theoretical suggestions.
Keywords/Search Tags:Common Logic Language, Test Research, Mind Map
PDF Full Text Request
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