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How to design a system that supports real-time monitoring and report analysis in online question answering

WBOYOriginal: 2023-09-26 19:36:261175browse

How to design a system that supports real-time monitoring and report analysis in online answering questions

In modern education, online answering questions has become a common teaching method. In order to improve teaching effectiveness and students' learning results, it is particularly important to design a system that supports real-time monitoring and report analysis in online question answering. This article will elaborate on system architecture design, data monitoring and analysis, and code examples.

1. System Architecture Design

The real-time monitoring and report analysis system in online question answering mainly includes three modules: front-end module, back-end module and database module.

Front-end module: The front-end module is responsible for interaction and display with users, including the student's answer interface and the teacher's monitoring interface. The student's answering interface needs to have the functions of displaying questions, answering and submitting answers; the teacher's monitoring interface needs to display students' answering in real time, and support real-time refresh and report analysis functions.
Backend module: The backend module is responsible for processing requests sent by the front-end module, as well as the storage and analysis of answer data. The back-end module needs to provide an interface for the front-end module to call to handle real-time query of students' answer questions and calculation of report analysis.
Database module: The database module is used to store student answer data and teacher monitoring data. It is recommended to use a relational database such as MySQL or PostgreSQL.

2. Data monitoring and analysis

Data monitoring: In order to realize real-time monitoring of students’ answering questions, WebSocket technology can be used to establish a student answering interface and a teacher monitoring interface. real-time communication between. Each time a student submits an answer, the back-end module broadcasts the answer status to the teacher monitoring interface so that the student's answer data can be displayed in a timely manner.
Report analysis: To implement the report analysis function, you first need to define a series of indicators to evaluate students' answering questions. For example, indicators such as accuracy rate, answering speed, problem-solving ideas, etc. Then, through statistics and analysis of answer data, these indicators are calculated and corresponding reports are generated according to needs.

3. Code Example

The following is a code example based on the Python Flask framework, which is used to implement the student answering interface and the teacher’s monitoring interface:

Student answering interface (frontend.html):

<html>
<head>
    <title>在线答题系统</title>
</head>
<body>
    <h1>在线答题界面</h1>
    <form action="/submit" method="post">
        <p>题目：1+1=?</p>
        <input type="text" name="answer">
        <button type="submit">提交答案</button>
    </form>
</body>
</html>

Teacher monitoring interface (monitor.html):

<html>
<head>
    <title>在线答题系统</title>
    <script>
        var socket = new WebSocket("ws://localhost:5000/ws");

        socket.onmessage = function(event) {
            var data = JSON.parse(event.data);
            // 在界面上展示学生的答题数据
        };
    </script>
</head>
<body>
    <h1>教师监控界面</h1>
</body>
</html>

Backend processing code ( app.py):

from flask import Flask, render_template, request
from flask_socketio import SocketIO, emit

app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret'
socketio = SocketIO(app)

@app.route('/')
def index():
    return render_template('frontend.html')

@app.route('/submit', methods=['POST'])
def submit():
    answer = request.form.get('answer')
    # 处理学生提交的答案，保存到数据库，并广播给监控界面
    emit('answer', {'answer': answer}, broadcast=True)
    return 'OK'

@socketio.on('connect')
def connect():
    print('Client connected')

if __name__ == '__main__':
    socketio.run(app)

It should be noted that the above code is only a simple example, and it needs to be adjusted and improved according to specific needs in actual applications.

Summary:

Designing a system that supports real-time monitoring and report analysis in online question answering requires system architecture design, data monitoring and analysis, and writing corresponding code. Through reasonable architecture design and data processing, real-time monitoring of students' answers can be realized and corresponding report analysis data can be generated, thereby improving teaching effectiveness and students' academic performance.

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