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Research On The Design And Practice Of Smart Classroom Teaching Mode In Primary Schools Under The Background Of Artificial Intelligence

Posted on:2022-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:J XuFull Text:PDF
GTID:2517306326471924Subject:Primary education
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With the rapid development of economy,science and technology,artificial intelligence technology has been widely used in many fields of society,which has brought great changes to the development of economy,society,education,medical and other aspects.In the era of education informatization,the use of intelligent technology to build smart classroom has become a hot topic of education reform research.In order to comply with the iterative update of information technology and the development and reform trend of educational information 2.0,a new smart classroom teaching model has emerged with the needs of the new era.Smart classroom is a dynamic classroom based on information technology,which creates favorable learning conditions for teachers' personalized teaching and students' differentiated learning.Based on the existing research on smart classrooms,this research summarizes and analyzes smart classroom teaching design at home and abroad and the current situation of classroom teaching research under the background of artificial intelligence,explores and discovers the characteristics of smart classroom teaching,and designs innovative smart classroom teaching models.Deeply explore the value and significance of smart classroom teaching,analyze and test the effectiveness of the smart classroom teaching model,aiming to explore students' classroom satisfaction,student's learning attitudes and does the student's learning effect have any impact under this model.The research is mainly carried out from the following aspects:First,use the literature research method to sort out and collect relevant literature and theories,conduct an in-depth analysis of the research status of classroom teaching and smart classrooms under the background of artificial intelligence at home and abroad,and summarize the meaning and characteristics of smart classrooms under the background of artificial intelligence,and compare them with the characteristics of traditional classroom teaching.Secondly,through reading the literature,the concept of smart classroom teaching mode is defined and selected.Based on the personalized teaching mode and inquiry teaching mode proposed by the smart classroom teaching curriculum team of Xie You u of South China Normal University,organizing and summarizing the pre-class,in-class,and after-class integrated teaching models which is suitable for the smart classroom of W Primary School in J City.Using this mode as the experimental independent variable,randomly select two classes that carry out smart classroom teaching as experimental classes for teaching practice research,through classroom observation and teaching case analysis,objectively compare the total average scores of the students in the first and second test classes and the total average scores of the experimental class and the control class after the implementation of the smart classroom teaching model.Finally,through questionnaires and teacher-student interviews,learn from the students' learning in the smart classroom.Effects,learning attitudes and smart classroom satisfaction are subjective analysis of students' comprehensive learning situation,and the application effects of smart classroom teaching models are tested with practice.The results of this research show that the constructed teaching model has a positive role in promoting smart classroom teaching in elementary schools under the background of artificial intelligence.Teachers and students are more satisfied with the smart classroom teaching model,students' learning attitudes are getting higher.Students' academic performance is gradually improved in the smart classroom,and the practical advantages of smart classroom teaching are obvious.
Keywords/Search Tags:Artificial intelligence, intelligent classroom, teaching mode, practice research
PDF Full Text Request
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