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Java prepares the test score distribution statistical module of the online examination system
In modern education, more and more schools and institutions have begun to use online examination systems to conduct examinations and evaluation. Online testing systems provide convenience and efficiency, but they also require features to help teachers and students better understand and evaluate student performance. One of the important functions is the distribution statistics module of test scores.
The test score distribution statistics module can help teachers and students better understand the distribution of students' scores in the entire class or overall exam. By analyzing the grade distribution, teachers can more objectively evaluate students' learning status, understand the effectiveness of the course in a timely manner, and make adjustments to teaching content and methods. Students can understand their relative position with other students by analyzing the score distribution, discover their own shortcomings, and improve them.
The following will introduce how to use Java to write a simple test score distribution statistics module.
First, we need to define a class for grade distribution statistics, which can be named GradeDistribution. This class needs to contain the following member variables and methods:
public class GradeDistribution { private int[] grades; // 存储学生的成绩 private int count; // 记录学生人数 public GradeDistribution(int[] grades) { this.grades = grades; this.count = grades.length; } public int getHighestGrade() { // 获取最高成绩 int highest = grades[0]; for (int i = 1; i < count; i++) { if (grades[i] > highest) { highest = grades[i]; } } return highest; } public int getLowestGrade() { // 获取最低成绩 int lowest = grades[0]; for (int i = 1; i < count; i++) { if (grades[i] < lowest) { lowest = grades[i]; } } return lowest; } public double getAverageGrade() { // 获取平均成绩 int sum = 0; for (int i = 0; i < count; i++) { sum += grades[i]; } return (double) sum / count; } public int getNumOfPass() { // 获取及格人数 int pass = 0; for (int i = 0; i < count; i++) { if (grades[i] >= 60) { pass++; } } return pass; } public int getNumOfFail() { // 获取不及格人数 return count - getNumOfPass(); } public int getNumOfTopGrade() { // 获取满分人数 int top = 0; for (int i = 0; i < count; i++) { if (grades[i] == 100) { top++; } } return top; } }
The above code defines a GradeDistribution class, passes in the student's grade array through the constructor, and provides some methods to obtain some statistics of grade distribution , such as the highest score, the lowest score, the average score, the number of passing students, the number of failing students and the number of perfect scores, etc.
Next, we can write a simple test class to verify the use of this GradeDistribution class:
public class Main { public static void main(String[] args) { int[] grades = {78, 90, 83, 65, 92, 87, 68, 73, 79, 85}; GradeDistribution distribution = new GradeDistribution(grades); System.out.println("最高成绩:" + distribution.getHighestGrade()); System.out.println("最低成绩:" + distribution.getLowestGrade()); System.out.println("平均成绩:" + distribution.getAverageGrade()); System.out.println("及格人数:" + distribution.getNumOfPass()); System.out.println("不及格人数:" + distribution.getNumOfFail()); System.out.println("满分人数:" + distribution.getNumOfTopGrade()); } }
In this test class, we define an integer array to represent the student's grades , and then create a GradeDistribution object, call the corresponding method through this object to obtain the statistical data of grade distribution, and print out the results.
Through the above code, we can obtain students' score distribution statistics and conduct more in-depth analysis and evaluation.
In summary, by writing the test score distribution statistics module of the online examination system in Java, we can easily obtain students’ test score distribution data, further helping teachers and students better understand students’ learning situations, and provide Provide useful reference for teaching and learning. Of course, this is just a simple example, and the actual test score distribution statistics module can also be more complexly designed and developed based on specific needs and scenarios.
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