Research On Students' Learning Participation And Influencing Factors Of Artificial Intelligence Module In High School Information Technology Curriculum

Learning participation is an important observation indicator of student academic performance.The low school students will cause a variety of learning problems,such as inferior psychology,tired mood,deafness,and reluctance behaviors that are not ideal for academic achievements.To the students' mental health.At present,students actively participate in learning have become the focus of basic education reform,and learning participation has an important position in teaching.On the other hand,there is "artificial intelligence" in the world,and many areas have achieved the transformation of intelligent directions.my country attaches great importance to the cultivation of talents in artificial intelligence,and has successively popularized artificial intelligence in primary and secondary schools.The research mainly focused on the construction of teaching models,the development of teaching materials,the design of teaching resources,and studies in the field of learning participation in high school artificial intelligence learning is minimal.Therefore,this paper focuses on the influencing factors of the learning participation,aims to explore the influencing factors of high school artificial intelligence module learning participation,to promote high school students to make countermeasures in the study participation of the artificial intelligence module,thus improve high school artificial intelligence The teaching quality of the classroom.First,by combing the relevant literature at home and abroad,the structure of the teaching status and learning participation degree of high school artificial intelligence modules is analyzed.Based on this,the theoretical model of high school artificial intelligence module learning participation,and references the mature table,Preparation of High School Artificial Intelligence Modules Learning Participation Current Situation and Influencing Factors.Second,the questionnaire is subtracted to make a modification and adjustment of the questionnaire according to the test results to establish a formal questionnaire.Then,a large-scale formal survey is carried out,and the sample data is analyzed using SPSS software,and the assault model is related to the hypothesis model through the AMOS software.Finally,from the actual exact,the study participation of high school artificial intelligence modules is analyzed,and the corresponding countermeasures are proposed from the three levels of students,teachers and schools.In order to provide a teaching practice reference value with a teacher.The research analysis concluded that the overall learning participation level of high school in high school artificial intelligence modules is at a general level,and behavioral participation,cognitive participation and emotional participation are needed to improve,especially behavioral participation;(2)The participation of high school students in the artificial intelligence module did not show significant differences in gender and achievements;(3)High school students in the artificial intelligence module study,the level of behavior participation in the study participation is significantly different in grade,Gao Yi's behavior participation level will be significantly lower than the level of behavior participation;(4)By constructing the factors of learning participation in high school artificial intelligence modules,it is determined that the influencing factors mainly have interest,intelligent,self-efficacy,teacher support 5 aspects of the resource platform;(5)Significant forward and direct impact on the study of learning participation based on structure equation models,intelligent literacy,self-efficacy and resource platform.Direct influence effects are self-efficacy(0.263),resource platform(0.239),intelligent literacy(0.187),learning interest(0.179).Sort by the total effect value is: Intelligent literacy(0.253),resource platform(0.372),self-efficacy(0.263),teacher support(0.204),learning interest(0.179).The impact of intelligent literacy on learning participation is the largest,and learning interest has the least impact on learning participation.(6)According to the results of the analysis,combined with the current status of the current artificial intelligence participation,the countermeasures and recommendations of the learning participation of high school artificial intelligence modules were proposed from the students,teachers and schools,respectively.