How to design a system that supports learning records and learning process visualization in online question answering

How to design a system that supports learning records and learning process visualization in online answering questions

With the development of the Internet and the continuous advancement of intelligent technology, more and more Many educational resources and learning opportunities are available online. The online question-answering system has become one of the important tools for learning and testing, but the question-answering function alone is far from meeting the needs of learners. A system that supports learning records and learning process visualization will greatly enhance learners’ awareness and understanding of their own learning status, which will in turn help improve learning strategies in a more targeted manner.

This article will introduce how to design a system that supports learning records and learning process visualization in online question answering, and provide specific code examples.

1. System design ideas

1. Database design: Design a suitable database structure to store learners’ information and answer records. At least it needs to include the learner’s personal information, answer records, question information and other relevant data.
2. User login: Provide registration and login functions for learners to ensure that the system can identify learners and record their personal information and learning activities.
3. Question bank management: Establish a question bank containing various questions. The questions should include questions, options, answers and other information, and provide the system administrator with the function of adding, deleting, modifying and checking questions.
4. Answering function: Provides learners with the function of answering questions online. Learners can choose the corresponding questions to answer and submit the answers to the system for automatic scoring.
5. Visualization of learning records and learning processes: Design a page or function to display learners’ learning records and learning processes. For example, you can display information such as the learner's answering situation, the accuracy of answering questions, and the time taken to answer each question.

2. System code example

The following is a simple example code for reference only:

# 导入必要的库和模块：
import sqlite3

# 连接数据库：
conn = sqlite3.connect('learning.db')

# 创建学习者表格：
conn.execute('''CREATE TABLE IF NOT EXISTS learner
                (id INTEGER PRIMARY KEY AUTOINCREMENT,
                 username TEXT NOT NULL,
                 password TEXT NOT NULL,
                 email TEXT NOT NULL);''')

# 创建答题记录表格：
conn.execute('''CREATE TABLE IF NOT EXISTS answer
                (id INTEGER PRIMARY KEY AUTOINCREMENT,
                 learner_id INTEGER NOT NULL,
                 question_id INTEGER NOT NULL,
                 answer TEXT NOT NULL,
                 duration INTEGER NOT NULL,
                 FOREIGN KEY (learner_id) REFERENCES learner(id),
                 FOREIGN KEY (question_id) REFERENCES question(id));''')

# 创建问题表格：
conn.execute('''CREATE TABLE IF NOT EXISTS question
                (id INTEGER PRIMARY KEY AUTOINCREMENT,
                 content TEXT NOT NULL,
                 option_1 TEXT NOT NULL,
                 option_2 TEXT NOT NULL,
                 option_3 TEXT NOT NULL,
                 option_4 TEXT NOT NULL,
                 answer TEXT NOT NULL);''')

# 插入学习者数据：
conn.execute("INSERT INTO learner (username, password, email) VALUES ('learner1', 'password1', 'learner1@example.com')")
conn.commit()

# 插入问题数据：
conn.execute("INSERT INTO question (content, option_1, option_2, option_3, option_4, answer) VALUES ('问题1', '选项1', '选项2', '选项3', '选项4', '答案1')")
conn.commit()

# 插入答题记录数据：
conn.execute("INSERT INTO answer (learner_id, question_id, answer, duration) VALUES (1, 1, '答案1', 30)")
conn.commit()

# 查询学习者的答题记录：
cursor = conn.execute("SELECT * FROM answer WHERE learner_id = 1")

# 输出学习者的答题记录：
for row in cursor:
    print("学习者ID：", row[1])
    print("题目ID：", row[2])
    print("答案：", row[3])
    print("答题耗时（秒）：", row[4])
    
# 关闭数据库连接：
conn.close()

The above example code demonstrates how to use the sqlite3 library to create a database Tables, inserting data and querying data.

Finally, by using web frameworks (such as Flask, Django, etc.), the above design and code can be further improved to implement a system that supports learning records and learning process visualization in online answer questions.

Summary:

To design a system that supports learning records and learning process visualization in online answer questions, you need to consider database design and system function implementation. Through reasonable database structure and code writing, learners' information and answer records can be stored, and learning records and learning processes can be visually displayed through pages or functions. Through such a system, learners can better understand their own learning status, adjust learning strategies, and improve learning effects.

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