💖💖作者:计算机毕业设计小途 💙💙个人简介:曾长期从事计算机专业培训教学,本人也热爱上课教学,语言擅长Java、微信小程序、Python、Golang、安卓Android等,开发项目包括大数据、深度学习、网站、小程序、安卓、算法。平常会做一些项目定制化开发、代码讲解、答辩教学、文档编写、也懂一些降重方面的技巧。平常喜欢分享一些自己开发中遇到的问题的解决办法,也喜欢交流技术,大家有技术代码这一块的问题可以问我! 💛💛想说的话:感谢大家的关注与支持! 💜💜 网站实战项目 安卓/小程序实战项目 大数据实战项目 深度学习实战项目
@TOC
基于SpringBoot的在线学习交流系统介绍
基于SpringBoot的在线学习交流系统是一个功能完善的教育管理平台,采用当前主流的Java技术栈进行开发,后端基于Spring Boot框架整合Spring、SpringMVC和MyBatis实现业务逻辑处理,前端采用Vue.js配合ElementUI组件库构建现代化用户界面,数据存储使用MySQL数据库,整体采用B/S架构模式确保系统的稳定性和可维护性。该系统涵盖了完整的在线教育生态链,包括系统主页展示、教师信息管理、学生信息维护、课程分类整理、学习资源共享、学习数据分析、学生成绩统计、举报记录处理等核心功能模块,同时集成了试题库管理、论坛分类讨论、试题智能管理、敏感词过滤、学习交流互动、反馈建议收集等增值服务,更重要的是系统还提供了完善的课程测试管理、系统后台管理以及考试管理等功能,形成了从课程发布、学习跟踪、在线测试到成绩评定的完整学习闭环,不仅能够满足教师的教学管理需求,也为学生提供了便捷的学习交流平台,通过论坛功能促进师生互动和学生之间的学术讨论,通过智能化的学习分析功能帮助教师了解学生学习进度,为个性化教学提供数据支撑,整个系统界面友好、操作简便、功能齐全,是计算机专业学生毕业设计的优质选择。
基于SpringBoot的在线学习交流系统演示视频
基于SpringBoot的在线学习交流系统演示图片
基于SpringBoot的在线学习交流系统代码展示
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
@Service
public class CoreSystemService {
@Autowired
private StudentMapper studentMapper;
@Autowired
private ExamMapper examMapper;
@Autowired
private ForumMapper forumMapper;
private SparkSession spark = SparkSession.builder().appName("OnlineLearningSystem").master("local[*]").getOrCreate();
public Map<String, Object> analyzeStudentLearningData(Long studentId) {
Map<String, Object> result = new HashMap<>();
List<StudentScore> scores = studentMapper.getStudentScores(studentId);
List<LearningRecord> records = studentMapper.getLearningRecords(studentId);
Dataset<Row> scoreDataset = spark.createDataFrame(scores, StudentScore.class);
Dataset<Row> recordDataset = spark.createDataFrame(records, LearningRecord.class);
Dataset<Row> avgScoreData = scoreDataset.groupBy("courseId").avg("score");
Dataset<Row> learningTimeData = recordDataset.groupBy("courseId").sum("studyTime");
List<Row> avgScores = avgScoreData.collectAsList();
List<Row> totalTimes = learningTimeData.collectAsList();
double overallAverage = scoreDataset.agg(org.apache.spark.sql.functions.avg("score")).first().getDouble(0);
long totalStudyTime = recordDataset.agg(org.apache.spark.sql.functions.sum("studyTime")).first().getLong(0);
List<String> weakSubjects = new ArrayList<>();
for (Row row : avgScores) {
if (row.getDouble(1) < overallAverage * 0.8) {
String courseName = studentMapper.getCourseName(row.getLong(0));
weakSubjects.add(courseName);
}
}
result.put("overallAverage", overallAverage);
result.put("totalStudyTime", totalStudyTime);
result.put("weakSubjects", weakSubjects);
result.put("courseScores", avgScores);
result.put("studyTimeDistribution", totalTimes);
return result;
}
public Map<String, Object> processOnlineExam(Long examId, Long studentId, List<AnswerSubmission> answers) {
Map<String, Object> result = new HashMap<>();
Exam exam = examMapper.getExamById(examId);
List<Question> questions = examMapper.getExamQuestions(examId);
if (exam == null || questions.isEmpty()) {
result.put("success", false);
result.put("message", "考试不存在或试题为空");
return result;
}
long currentTime = System.currentTimeMillis();
if (currentTime > exam.getEndTime().getTime()) {
result.put("success", false);
result.put("message", "考试已结束");
return result;
}
int totalScore = 0;
int correctCount = 0;
List<QuestionResult> questionResults = new ArrayList<>();
for (AnswerSubmission answer : answers) {
Question question = questions.stream().filter(q -> q.getId().equals(answer.getQuestionId())).findFirst().orElse(null);
if (question != null) {
boolean isCorrect = question.getCorrectAnswer().equals(answer.getSelectedAnswer());
if (isCorrect) {
totalScore += question.getPoints();
correctCount++;
}
QuestionResult qr = new QuestionResult();
qr.setQuestionId(question.getId());
qr.setStudentAnswer(answer.getSelectedAnswer());
qr.setCorrectAnswer(question.getCorrectAnswer());
qr.setIsCorrect(isCorrect);
qr.setPoints(isCorrect ? question.getPoints() : 0);
questionResults.add(qr);
}
}
ExamResult examResult = new ExamResult();
examResult.setExamId(examId);
examResult.setStudentId(studentId);
examResult.setScore(totalScore);
examResult.setCorrectCount(correctCount);
examResult.setTotalCount(questions.size());
examResult.setSubmitTime(new Date(currentTime));
examMapper.saveExamResult(examResult);
examMapper.saveQuestionResults(questionResults);
result.put("success", true);
result.put("totalScore", totalScore);
result.put("correctCount", correctCount);
result.put("totalQuestions", questions.size());
result.put("accuracy", (double) correctCount / questions.size());
result.put("questionResults", questionResults);
return result;
}
public Map<String, Object> processForumInteraction(ForumPost post, Long userId) {
Map<String, Object> result = new HashMap<>();
List<String> sensitiveWords = forumMapper.getAllSensitiveWords();
String content = post.getContent();
String title = post.getTitle();
boolean containsSensitive = false;
List<String> detectedWords = new ArrayList<>();
for (String word : sensitiveWords) {
if (content.contains(word) || title.contains(word)) {
containsSensitive = true;
detectedWords.add(word);
content = content.replace(word, "***");
title = title.replace(word, "***");
}
}
if (containsSensitive) {
ReportRecord report = new ReportRecord();
report.setUserId(userId);
report.setContent("检测到敏感词:" + String.join(", ", detectedWords));
report.setReportTime(new Date());
report.setStatus("待处理");
forumMapper.saveReportRecord(report);
}
post.setContent(content);
post.setTitle(title);
post.setUserId(userId);
post.setCreateTime(new Date());
post.setStatus(containsSensitive ? "审核中" : "正常");
forumMapper.saveForumPost(post);
if (!containsSensitive) {
User user = studentMapper.getUserById(userId);
user.setForumPoints(user.getForumPoints() + 5);
studentMapper.updateUser(user);
}
List<ForumPost> recentPosts = forumMapper.getRecentPostsByCategory(post.getCategoryId(), 10);
result.put("success", true);
result.put("postId", post.getId());
result.put("containsSensitive", containsSensitive);
result.put("filteredContent", containsSensitive);
result.put("recentPosts", recentPosts);
result.put("userPoints", studentMapper.getUserById(userId).getForumPoints());
return result;
}
}
基于SpringBoot的在线学习交流系统文档展示
💖💖作者:计算机毕业设计小途 💙💙个人简介:曾长期从事计算机专业培训教学,本人也热爱上课教学,语言擅长Java、微信小程序、Python、Golang、安卓Android等,开发项目包括大数据、深度学习、网站、小程序、安卓、算法。平常会做一些项目定制化开发、代码讲解、答辩教学、文档编写、也懂一些降重方面的技巧。平常喜欢分享一些自己开发中遇到的问题的解决办法,也喜欢交流技术,大家有技术代码这一块的问题可以问我! 💛💛想说的话:感谢大家的关注与支持! 💜💜 网站实战项目 安卓/小程序实战项目 大数据实战项目 深度学习实战项目