Learning Diagnosis and Review Guidance System

Abstract

This invention discloses a learning diagnosis and review guidance system, comprising a server, a database module, and a front-end interface module. After receiving online quiz responses, the server generates a diagnostic report through a diagnostic analysis module, including the correct answer rate across knowledge dimensions and AI-generated myth suggestions. To accurately deduce learning myths, a review and optimization module displays the answer percentages for each question option and the corresponding student list on a teacher's interface. Furthermore, for students, an adaptive feedback generation module automatically outputs positive encouragement images and text to provide emotional support based on their performance; simultaneously, a review navigation module compares data with the database and automatically displays the corresponding physical textbook chapter information for incorrect questions on a student's interface. Thus, this invention effectively integrates online data diagnosis with offline physical teaching materials, achieving a personalized teaching loop with emotional support, accurate myth deduction, and integrated virtual-physical navigation.

Claims

1. A learning diagnosis and review guidance system, comprising: a database module for storing answer data corresponding to an online test, and storing association data between multiple questions in the online test and at least one chapter of a physical textbook, wherein the answer data includes answer records of multiple options for the multiple questions and a corresponding list of students; a server communicatively connected to the database module, the server comprising: a diagnostic analysis module for reading the answer data and generating a diagnostic analysis report including a knowledge dimension correct answer rate; A review and optimization module is used to receive a review instruction for a specific question in the online test, calculate and output the proportion distribution of answers for one of the multiple options in the specific question based on the answer data, and display the corresponding student list for each of the multiple options; a review navigation module is used to receive an error review instruction for a specific incorrect question in the multiple questions, and extract and output the chapter information of one of the chapters in the physical teaching material corresponding to the specific incorrect question based on the associated data; and a front-end interface module is communicatively connected to the server, including a teacher interface and a student interface, wherein the teacher interface is used to display the diagnostic analysis report and the student list corresponding to the multiple options, and the student interface is used to display the chapter information.

2. The learning diagnosis and review guidance system as described in claim 1, wherein the server further includes an adaptive feedback generation module for automatically matching and outputting a positive encouragement graphic message to the student's interface based on one of the student's answer scores in the answer data.

3. The learning diagnosis and review guidance system as described in claim 1, wherein the server further includes a remedial test reorganization module for extracting at least three low-correct-rate questions with an average correct answer rate below a preset threshold from the answer data, automatically encapsulating the at least one low-correct-rate question and distributing it as a remedial practice test.

4. The learning diagnosis and review guidance system as described in claim 3, wherein the remedial test reorganization module and the diagnostic analysis module are configured with a single execution restriction mechanism, which restricts the generation of the remedial exercise paper or the diagnostic analysis report to be executed only once for a test task.

5. The learning diagnosis and review guidance system as described in claim 1, wherein the diagnostic analysis report includes a test score distribution chart, and the diagnostic analysis module counts and visualizes the number of students falling into each of the multiple preset score ranges on the teacher's interface based on multiple preset score ranges.

6. The learning diagnosis and review guidance system as described in claim 1, wherein the diagnostic analysis report further includes a learning performance ranking list, the diagnostic analysis module automatically filters out a list of students requiring attention from the answer data based on a first score threshold, and automatically filters out a list of outstanding students from the answer data based on a second score threshold, and displays the list of students requiring attention and the list of outstanding students side by side on the teacher's interface.

7. The learning diagnosis and review guidance system as described in claim 1, wherein the diagnostic analysis report further includes a weakest knowledge dimension and cause analysis, the diagnostic analysis module being used to output, in textual form, a corresponding misconception cause and a teaching strategy suggestion for the specific knowledge point with the lowest correct answer rate.

8. The learning diagnosis and review guidance system as described in claim 1, wherein when the review and optimization module presents the specific question on the teacher's interface, it simultaneously displays a correct answer and a textual explanation, and displays the proportion of answers to the multiple options and the corresponding list of students side by side near the textual explanation.

9. The learning diagnosis and review guidance system as described in claim 1, wherein when the student interface presents the specific incorrect question, it sets up an answer display element; when the student interface receives a signal that triggers the answer display element, it activates the review navigation module to display a knowledge point and chapter information in a screen area corresponding to the specific incorrect question.

10. The learning diagnosis and review guidance system as described in claim 1, wherein the front-end interface module provides an account-free access mechanism, allowing a student terminal to directly access the online test and create the answer data by scanning a graphical barcode or entering a unique test code.

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