基于SpringBoot的在线学习交流系统【Java项目、Java毕设、spring boot实战项目、源码+论文+答辩】

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💖💖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

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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

演示视频

基于SpringBoot的在线学习交流系统演示图片

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教师信息.png

课程测试.png

学生信息.png

学习交流.png

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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

文档.png

💖💖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