Research On Intelligent Instruction System Of Procedural Knowledge Based On Event Graph

For the development of future education,what kind of talents should be cultivated? How to cultivate? Start with core literacy and start with the most basic subject knowledge.Disciplinary knowledge is composed of statement and procedural knowledge.It is not only the core knowledge of education and teaching,but also the key to implementing smart education and teaching.With the revision and implementation of the new curriculum reform,the improvement of the ability to cultivate core literacy cultivation has become a topic of important concern.Most students cannot form independent or personalized thinking in the process of learning.They cannot deeply recognize that they are lacking in the lack of knowledge structure system,learning methods,and thinking ability.The learning method has rectified,and there is no way to plan related learning progress reasonably.When students no longer pay attention to the kernel and no longer conduct deep learning,they only pay attention to the surface layer.The learner’s cognitive ability and way of thinking will gradually become fast food and shallower,which is not conducive to the improvement of students’ skills and the cultivation of core literacy.Therefore,the research work of the thesis is as follows:1.Under the integration of multiple theories,this thesis proposes a set of scientific discipline knowledge organization methodology.According to this methodology,a new type of discipline knowledge cognitive model is built.Taking the discipline knowledge about triangle as an example,the disciplines of the interdisciplinary segments are used as an example to construct knowledge system2.Under the guidance of the core literacy of mathematics,research and analysis of the three stages of programming knowledge learning,and integrate it with deep learning.Based on the disciplinary knowledge cognitive model,the knowledge map of statement knowledge is the basic bracket,the construction of programmatic knowledge is constructed,and presented in the intelligent guide system.3.Integrate computer technology and educational knowledge,build a map of programming knowledge,and analyze the learning path in the teaching module.At the learning phase of different programming knowledge,analyze the process of transforming the learning path of programming knowledge.4.In the formation of high-level thinking capabilities in the student module,this thesis uses the form of problem training to train the thinking of different levels of thinking,divide the type of problem design for the learning process of procedural knowledge,and then conduct the specific content of specific content based on deep learning.So as to achieve personalized thinking training.5.In this study,the learning path can be visualized through the intelligent guide system,so that students’ associated relationship between the entire knowledge system,the structure of the knowledge framework,and the knowledge between knowledge is clear at a glance.According to the level of thinking,there is a lack of purposeful to the existence.Training in the place,and improve the ability to solve problems.This study will integrate system theory,logical theory,and teaching theory,and propose a cognitive model architecture related to the knowledge organization of disciplines,and use this model to organize discipline knowledge.In order to achieve efficient knowledge organization and meaningful learning,use the proposed discipline knowledge cognitive model to organize the organization and construction of programmatic knowledge;cultivate students’ high-level thinking in deep learning,and follow the learning process of programming knowledge according to high-level thinking.The level division is divided,and the map is used to present the learning path,allowing students to achieve the formation of core literacy through problem training.