Mathematical edge measurement and edge learning system and method in adaptive learning

Abstract

The invention discloses a mathematical side edge learning system and method in adaptive learning. The method comprises the following steps: S1, making all knowledge points into a knowledge point listthrough a front / rear relation; S2, selecting to-be-tested knowledge points from the knowledge point list; S3, pushing test questions of the to-be-tested knowledge points to students, judging whether the students master the to-be-tested knowledge points or not, if so, skipping to S4, and if not, skipping to S6; S4, according to the knowledge point map, searching whether the to-be-tested knowledge point has a front knowledge point or not, if yes, skipping to S5, and if not, skipping to S7; S5, deleting the knowledge points to be tested and the front knowledge points thereof from the knowledge point list, and skipping to S7; S6, pushing the learning material of the test knowledge point to the students, and skipping to S3; and S7, re-selecting the knowledge points to be tested, and skipping tothe step S3 until the knowledge point list is empty. Repeated testing of the preposed knowledge points can be avoided, and the testing efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of online education, and specifically relates to a learning-by-testing system and method for mathematics in self-adaptive learning. Background technique [0002] In traditional education and teaching, teachers will construct a knowledge system in their minds based on the syllabus of the Education Commission. At the same time, the teacher analyzes the students' mastery of the knowledge points according to the students' answers to the test. The problem with this judgment method is that different teachers have different cognitions of the knowledge system due to their different teaching experience and abilities, resulting in inaccurate judgments on students' mastery of the knowledge system based on the answer sheet. For example, when students answer the same question incorrectly, how to judge whether they have not mastered the knowledge points involved in the question at all or only partially mastered it, teach...

AI Technical Summary

Problems solved by technology

The problem with this judgment method is that different teachers have different cognitions of the knowledge system due to their different teaching experience and abilities, resulting in inaccurate judgments on the students' mastery of the knowledge system based on the answer sheet

Existing teaching methods cannot be traced back according to the relationship between each knowledge point, resulting in the repeated testing of the previous knowledge points in the process of knowledge point testing, which reduces the test efficiency.

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