Research And Application Of Personalized Teaching Assist System Based On Process Management

The digitization of knowledge resources and the three-dimensional deepening of planar resources into the construction of a knowledge map,and the upgrading of educational technology based on the granularity of knowledge,so as to promote the promotion of educational technology from "staying in the teaching environment" to "embedded learning system" has become the current "Education Information 1.0" The urgent need to enter the "Educational Information Word 2.0".However,the single data integration model of traditional online teaching platforms cannot meet the current teaching needs.The multiple linkage of information between teaching resources-teaching feedback-study information is one of the ways to effectively realize the integration of information technology into the classroom to realize the needs.The traditional online teaching platform establishes a background information integration system to build an aerial classroom,and uses digital teaching resources to use different network terminals to solve the problem of inefficiency caused by the cumbersome resource sharing in the traditional classroom.The shortcomings of this information integration system are:Although it solves the problems of inefficient classroom teaching and classroom resource sharing in different places.However,in the environment of using the online teaching platform,in the functional modules supported by the existing platform,teachers cannot obtain teaching feedback information in time.Compared with the traditional classroom teaching mode,the interaction of teaching is also reduced.The network teaching platform one-sidedly solves the pain points of teaching resource sharing,and does not fully utilize the technical advantages of the teaching information integration platform.On the contrary,due to the separation from the face-to-face teaching environment,the teaching process is rigid and affects the quality of teaching.In order to better improve the integration of educational information technology and the classroom,the traditional classroom teaching mode must first be systematically analyzed and restructured.In the teaching cycle of a subject,class hours are used as the unit of measurement.The teaching data and academic data generated during the teaching process contain the mapping set of the teacher’s teaching effect and the student’s learning effect.Among them,the mapping of teacher’s teaching effect includes the overall effect mapping of a single course and the mapping of knowledge points of a certain course.According to the degree of refinement,the mapping results of student learning effects are also diverse,and the data mapping of a single student is specific.In order to be able to extract these data mapping results,the teaching mode and process must be disassembled.By establishing a teaching model based on process management,and constructing evaluation indicators based on formative evaluation theory,a corresponding database model is established.On this basis,the application layer introduces a course knowledge evaluation engine and a learning situation monitoring mechanism to process teaching data,and the recommendation module calculates the result data twice to achieve personalized recommendation and learning situation monitoring feedback.The core issue of implementing individualized evaluation schemes of knowledge points for different learning environments is the choice of evaluation methods in the classroom and evaluation methods after class.To deal with these two situations,different evaluation strategies were proposed respectively.For the evaluation program that occurs in the classroom,the evaluation program of "Ladder Difficulty Breakthrough" is adopted.For the after-school evaluation program,the method of personalized exercise recommendation is adopted,and the recommendation strategy is generated by calculating the degree of mastery of knowledge points.The former not only satisfies the teacher’s need to understand the students’ knowledge points in the course,but also provides data support for the exercises recommended by the personalized evaluation program after class.The degree of relevance between the knowledge points of the knowledge resource database is the main problem in the general construction of knowledge relations.Solve the stickiness of knowledge points in the data storage layer by extracting the degree of relevance of course knowledge points and the parent-child relationship.It provides a basis for exercise recommendation when using the knowledge point relationship network as the recommendation clue.In order to increase the feedback mechanism of the teaching information platform,based on the teaching information tags extracted by the formative evaluation,a learning monitoring model is proposed,and the score of the corresponding course is calculated and evaluated based on the data of student learning traces.So as to realize the teaching information integration platform with the multiple linkage of information between teaching resources-teaching feedback-learning information.