Action Research On Artificial Intelligence Teaching Based On Task Progression In High School

As artificial intelligence has become the focus of international competition,the gradual popularization of artificial intelligence education which is in primary and secondary schools in China has become an important direction of education reform.The artificial Intelligence Curriculum Development Standards for Primary and Secondary Schools(Trial),which newly issued in 2021,emphasizes the complex multidimensional interaction of students’ consciousness,concept,ability and thinking in the process of solving real complex problems.It puts forward higher requirements for complex skills learning.However,the teaching based on task progression is oriented to complex real problems and emphasizes the association of learning tasks in class.It regards learning tasks as a complex whole,which is conducive to the comprehensive application of knowledge,attitude and skills and the improvement of students’ complex skills.Therefore,the research of high school artificial intelligence teaching based on task progression has certain value and significance to solve the current practical problems and meet the requirements of the curriculum standard.Firstly,this study started from the literature review and analysis.Then sorted out the research status of artificial intelligence teaching and task progression in primary and secondary schools at home and abroad,focusing on the research issues.Secondly,the action research program was designed.Students in grade one were selected as the research objects.The data collection tools such as learning task list,high school students’ computational thinking test,interview outline,classroom observation table,and teaching effect questionnaire were designed.The compulsory textbook data and Computation was selected.Taking "Approaching Artificial Intelligence","Exploring Artificial Intelligence Algorithm" and "Designing Simple Expert System" as examples,the task progression was designed and three rounds of action research were carried out.After three rounds of action research,it is found that task-based teaching can help high school students to master artificial intelligence knowledge,improve computational thinking,obtain good learning experience and improve classroom participation.In the teaching of high school artificial intelligence based on task progression,it needs to be optimized from two aspects: design and implementation.In the aspect of task progression design,learning task should be the core,pay attention to the difficulty of learning task and present the task progression with the help of learning task list.In the course of task-based teaching,teachers should create sharing and communication links to promote students’ deep thinking.In the implementation process of task-based teaching,students’ independent inquiry task is the main task;When students explore the task,the teacher guides students from help to release through hints,questions and clues.When students have peer communication,teachers should ensure normal operation through supervision;In the whole class sharing stage,teachers should provide clear feedback to consolidate students’ understanding;Finally,teachers constantly optimize task progression and teaching process based on task progression based on teaching reflection.