How to design a system that supports the accumulation of credits and learning paths in online quizzes

How to design a system that supports the accumulation of credits and learning paths in online quizzes?

In modern education, online learning has become a mainstream learning method. In order to improve students' learning motivation and monitor students' learning progress, it is very important to design a system that supports the accumulation of credits and learning paths in online answering questions. This article describes how to design such a system and provides some concrete code examples.

1. Project Overview

The main function of this system is for students to answer questions online, accumulate credits and study according to the learning path. Students can participate in answering questions through the question bank provided in the system, and obtain corresponding credits based on the correctness of their answers. At the same time, the system will provide appropriate learning paths and recommendations based on students’ learning progress and grades.

2. System Architecture

The system adopts client-server architecture and is mainly divided into two parts: front-end and back-end.

2.1 Front-end

The front-end is presented as a web page and developed using HTML, CSS and JavaScript. It mainly includes the login interface, question answering interface, learning path interface, etc.

2.2 Backend

The backend is implemented using the server and developed using Python and Django frameworks. It mainly includes functions such as question bank management, credit accumulation, and learning path management.

3. Function Implementation

3.1 Question Bank Management

Question bank management is one of the key functions of the system. The question bank should contain questions of different difficulties and types, and support the addition, deletion and modification of questions. At the back end, questions can be managed through the database. The following is a simple code example:

from django.db import models

class Question(models.Model):
    question_text = models.CharField(max_length=200)
    pub_date = models.DateTimeField('date published')

class Choice(models.Model):
    question = models.ForeignKey(Question, on_delete=models.CASCADE)
    choice_text = models.CharField(max_length=200)
    is_correct = models.BooleanField(default=False)

3.2 Credit accumulation

Credit accumulation is the process of scoring points based on whether students answer questions correctly or incorrectly. In the system, students' answer results will be compared with the correct answers to the questions, and corresponding credits will be given to students based on the comparison results. The following is a simple code example:

def calculate_credit(question, answer):
    if question.is_correct(answer):
        return 10
    else:
        return 0

3.3 Learning path management

Learning path management is to recommend appropriate learning paths based on students’ learning progress and grades. In the system, recommended learning paths can be determined based on students’ credits and study time. The following is a simple code example:

def recommend_learning_path(credit, study_time):
    if credit > 100 and study_time > 20:
        return "Advanced"
    elif credit > 50 and study_time > 10:
        return "Intermediate"
    else:
        return "Beginner"

4. Summary

Through the above code example, we can see how to design a system that supports credits and learning paths in online answering questions System of accumulation. The system can motivate students to participate in answering questions during the learning process and provide personalized learning path recommendations based on learning progress and performance. At the same time, the system can also monitor and evaluate students' learning outcomes through the credit accumulation function.

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