The Application Research Of Experimental Inquiry Teaching Strategy In The Teaching Of Principle Knowledge

Artificial intelligence education has become a hot issue that countries attach great importance to the development of artificial intelligence technology.As an important force for the development of the country in the future,primary and middle school students need to understand and learn artificial intelligence technology,and be able to apply technology to solve real-life problems,so as to better adapt to the development needs of the intelligent era.The research carried out teaching exploration on the principle knowledge that is difficult to teach and difficult to learn in artificial intelligence.The principled knowledge of artificial intelligence,from a macro perspective,refers to the knowledge of how a machine simulates or realizes human intelligent behavior;specifically,it is the basic implementation method and process of the current artificial intelligence core technology.Due to its particularity and complexity,this research uses the experimental inquiry teaching strategy on the basis of the 5E inquiry teaching model,and helps students understand the realization principle of artificial intelligence technology by doing experiments.Action research is the main research method of the thesis.Through the teaching practice of artificial intelligence courses for one semester,data such as classroom test data,questionnaire interview data,teaching reflection logs and student works are collected to explore the effectiveness of the teaching strategy.The main ideas for the research are: 1.Determine the research theme and clarify the research content: review and analyze the relevant research at home and abroad,define the relevant concepts;2.Conduct the preliminary teaching analysis and design: design the artificial intelligence course teaching based on the 5E teaching model the overall process and experimental inquiry teaching strategy,analyze students’ academic conditions and teaching goals,design teaching content and action research programs and determine research tools;3.Carry out teaching practice: carry out three rounds of teaching action research according to the teaching content,collect student classroom behavior data,classroom test data,questionnaire interview data,student works and questionnaire interview data,find existing problems and improve teaching strategies;4.Research summary: according to the analysis of teaching practice and experimental data,the final conclusion of this study is drawn reflect on the shortcomings,and look forward to further research.The following conclusions are drawn through research: 1.Experimental inquiry teaching strategies can effectively help students learn the principle knowledge of artificial intelligence in junior high school: help students understand the principle knowledge that is more difficult to understand in the subject of artificial intelligence by doing experiments,the situation is good,and the teaching implementation has achieved good results;2.Experimental inquiry teaching strategies can improve students’ scientific spiritual literacy related to principled knowledge: scientific spiritual literacy had a high relevance with principled knowledge in the framework of artificial intelligence curriculum standards for primary and secondary schools,the results of the questionnaire indicate that students have improved significantly in this literacy;3.Guiding questions in the experiment process can inspire students to think about the principle knowledge they have learned: teachers can gradually cultivate students to think hard through continuous questioning,good habits of inquiry;4.Positive emotional communication with students is conducive to the development of experimental inquiry teaching.