Omnibearing student learning condition tracking platform from homework to examination

Abstract

The invention provides an omnibearing student learning condition tracking platform from homework to examination, and the platform comprises a learning condition data collection module which is used for collecting the learning condition data of a target student, and storing the learning condition data in a database; the learning condition data analysis module is used for carrying out learning condition analysis on the current learning condition of the target student based on the learning condition data of the target student; and the learning condition data application module is used for making a learning plan for the target student according to the learning condition analysis result. According to the method, all learning condition data of the students are collected, so that learning condition portraying, knowledge point tracking, wrong question retraining and personalized self-learning of the students are realized, and finally, a direction is pointed out for autonomous learning of the students.

Description

technical field [0001] The invention relates to the field of intelligent technology, in particular to an all-round student learning situation tracking platform from homework to examination. Background technique [0002] With the gradual advancement of precision teaching, the collection, tracking and analysis of student learning data has become the consensus of everyone. The previous data platform tracking was relatively simple, and the various links were separated from each other, failing to collect student data systematically and on a large scale: such as The grading product only collects the data of students' exams, and because of the different organizers of various exams, the data is scattered in different systems; for example, the homework product simply completes the collection of students' homework data, and fails to refine the student's homework data. The purpose of accurate teaching cannot be achieved by decomposing; based on the current situation, the goal of the cu...

AI Technical Summary

Problems solved by technology

[0002] With the gradual advancement of precision teaching, the collection, tracking, and analysis of student learning data have become a consensus. The previous data platform tracking is relatively simple, and each link is separated from each other, failing to collect student data systematically and on a large scale: Marking products only collect student test data, and because of different test organizers, the data are scattered in different systems; for example, the homework product simply completes the collection of student homework data, and fails to refine the student homework data Decomposition cannot achieve the purpose of precise teaching; based on the current situation, the goal of the current project is determined as follows: from homework to exams, all-round tracking of students' academic situation, collecting students from daily assignments, evening tests, unit quality inspections, mid-term and final exams, monthly exams , mock exams, and self-practice all learning data, to achieve student learning portraits, knowledge tracking, re-practicing wrong questions, personalized self-study, and finally point out the direction for students' independent learning, targeted connections, and targeted improvements

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