How to design a system that supports the knowledge point system in online question answering

How to design a system that supports the knowledge point system in online answering questions

With the rapid development of the Internet, there are more and more online education platforms and exam coaching websites It has been warmly welcomed by the majority of students and candidates. On these platforms, answering questions is an important part of studying and taking exams. In order to better help users answer questions, the online question answering system needs a clear and complete knowledge point system so that users can accurately and conveniently select and answer relevant questions. This article will introduce how to design a system that supports the knowledge point system in online question answering and provide specific code examples.

1. Determine the hierarchical structure of the knowledge point system
   The knowledge point system should have a good hierarchical structure and be able to clearly express the relationship between different knowledge points. It can be represented in a tree structure, with each node representing a knowledge point, the parent node representing the superior knowledge point, and the child node representing the subordinate knowledge point. For example, the mathematical knowledge point system can be divided into major categories such as mathematical foundations, algebra, and geometry, and each major category contains multiple specific knowledge points.

In code implementation, database tables can be used to store knowledge point system data. The table contains the following fields: knowledge point ID, knowledge point name, and parent knowledge point ID. Through the parent knowledge point ID, the association between each knowledge point can be established.

2. Design the answering interface and question data structure
   In the online answering system, the answering interface is responsible for receiving the user's selection, judging whether the selection is correct, and returning the corresponding results. In order to support the knowledge point system, the question answering interface needs to receive a parameter, and the parameter value is the knowledge point ID to which the user selects the question. Based on the knowledge point ID, the question answering interface can find the corresponding question based on the question data stored in the database and determine whether the user's choice is correct.

The question data structure should contain the following fields: question ID, question content, options, correct answer, and knowledge point ID. Among them, the knowledge point ID is used to associate the question with the knowledge point system.

3. Building knowledge point navigation and topic selection interface
   In order to facilitate users to select relevant topics, a knowledge point navigation interface can be built in the system to display all knowledge points and their hierarchical relationships. Users can click on the corresponding knowledge point to display all the questions under the knowledge point on the page, and the user can select the corresponding question to answer the question.

In code implementation, you can use a tree-structured list to display the knowledge point navigation interface. By traversing the data in the knowledge point table, a navigation interface displayed in a tree structure can be constructed. When users click on a knowledge point, they can query the question table based on the knowledge point ID and display the query results on the page.

4. Provide intelligent recommendation function
   In order to improve the user experience, an intelligent recommendation function can be provided for the online question answering system. Based on the user's historical answer records and currently selected knowledge points, the system can analyze the user's learning situation and recommend relevant questions to the user. In this way, users can not only consolidate the knowledge they have learned, but also expand their knowledge.

In code implementation, relevant questions can be recommended to users by counting users’ answer records and analyzing the correlation between knowledge points. Recommendation algorithms can use methods such as collaborative filtering and content-based recommendations.

Summary:
To design a system that supports the knowledge point system in online question answering, you need to determine the hierarchical structure of the knowledge point system, design the question answering interface and question data structure, and build the knowledge point navigation and question selection interface. Provide intelligent recommendation function. Through reasonable design and implementation, users' learning experience and effects can be improved.

Code examples are omitted.

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