💖💖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的学生学习成果管理平台介绍
基于SpringBoot的学生学习成果管理平台是一个功能完善的B/S架构教育管理系统，采用SpringBoot+SpringMVC+Mybatis作为后端框架，结合Vue+ElementUI构建用户友好的前端界面，使用MySQL数据库进行数据存储。该平台主要面向教育机构的学生学习成果统一管理需求，提供了完整的学生信息管理、教师信息维护、竞赛获奖记录、证书信息管理、开发项目展示、课程设计管理等核心功能模块。系统支持资讯信息发布与分类管理，内置交流互动功能促进师生沟通，设有举报记录和论坛分类确保平台秩序，同时具备系统日志记录、公告通知管理、轮播图展示等辅助功能。平台还为用户提供个人中心、密码修改、个人信息维护等个性化服务，通过系统管理模块实现对整个平台的统一配置和监控。该系统既可以使用Java+SpringBoot技术栈开发，也支持Python+Django版本实现，为不同技术背景的开发者提供了灵活的选择，整体架构设计合理，功能模块划分清晰，非常适合作为计算机专业学生的毕业设计项目，能够很好地展现学生对主流Web开发技术的掌握程度和系统设计能力。
基于SpringBoot的学生学习成果管理平台演示视频
基于SpringBoot的学生学习成果管理平台演示图片
基于SpringBoot的学生学习成果管理平台代码展示
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.web.bind.annotation.*;
import java.util.*;
import java.time.LocalDateTime;
@RestController
@RequestMapping("/api")
public class CoreFunctionController {
@Autowired
private SparkSession sparkSession = SparkSession.builder()
.appName("StudentAchievementAnalysis")
.master("local[*]")
.config("spark.sql.adaptive.enabled", "true")
.getOrCreate();
@PostMapping("/student/achievement/analyze")
public Map<String, Object> analyzeStudentAchievement(@RequestBody StudentAnalysisRequest request) {
Map<String, Object> result = new HashMap<>();
Dataset<Row> studentData = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "student_info")
.option("user", "root")
.option("password", "password")
.load();
Dataset<Row> competitionData = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "competition_awards")
.option("user", "root")
.option("password", "password")
.load();
Dataset<Row> certificateData = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "certificate_info")
.option("user", "root")
.option("password", "password")
.load();
studentData.createOrReplaceTempView("students");
competitionData.createOrReplaceTempView("competitions");
certificateData.createOrReplaceTempView("certificates");
Dataset<Row> achievementSummary = sparkSession.sql(
"SELECT s.student_id, s.student_name, s.class_name, " +
"COUNT(DISTINCT c.competition_id) as competition_count, " +
"COUNT(DISTINCT cert.certificate_id) as certificate_count, " +
"COALESCE(AVG(c.award_level), 0) as avg_award_level " +
"FROM students s " +
"LEFT JOIN competitions c ON s.student_id = c.student_id " +
"LEFT JOIN certificates cert ON s.student_id = cert.student_id " +
"WHERE s.student_id = " + request.getStudentId() + " " +
"GROUP BY s.student_id, s.student_name, s.class_name"
);
Row studentRow = achievementSummary.first();
result.put("studentId", studentRow.getLong("student_id"));
result.put("studentName", studentRow.getString("student_name"));
result.put("className", studentRow.getString("class_name"));
result.put("competitionCount", studentRow.getLong("competition_count"));
result.put("certificateCount", studentRow.getLong("certificate_count"));
result.put("avgAwardLevel", studentRow.getDouble("avg_award_level"));
Dataset<Row> rankingData = sparkSession.sql(
"SELECT student_id, " +
"RANK() OVER (ORDER BY (competition_count + certificate_count) DESC) as achievement_rank " +
"FROM (SELECT student_id, " +
"COUNT(DISTINCT competition_id) as competition_count, " +
"COUNT(DISTINCT certificate_id) as certificate_count " +
"FROM (SELECT student_id, competition_id, NULL as certificate_id FROM competitions " +
"UNION ALL SELECT student_id, NULL as competition_id, certificate_id FROM certificates) " +
"GROUP BY student_id)"
);
Dataset<Row> currentRank = rankingData.filter("student_id = " + request.getStudentId());
if (currentRank.count() > 0) {
result.put("achievementRank", currentRank.first().getLong("achievement_rank"));
}
result.put("analysisTime", LocalDateTime.now().toString());
result.put("totalStudentsAnalyzed", studentData.count());
return result;
}
@PostMapping("/project/development/manage")
public Map<String, Object> manageProjectDevelopment(@RequestBody ProjectRequest request) {
Map<String, Object> response = new HashMap<>();
Dataset<Row> projectData = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "development_projects")
.option("user", "root")
.option("password", "password")
.load();
Dataset<Row> studentProjects = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "student_project_relation")
.option("user", "root")
.option("password", "password")
.load();
projectData.createOrReplaceTempView("projects");
studentProjects.createOrReplaceTempView("student_projects");
if (request.getAction().equals("CREATE")) {
String insertSQL = String.format(
"INSERT INTO development_projects (project_name, project_type, technology_stack, " +
"project_description, difficulty_level, estimated_duration, create_time) " +
"VALUES ('%s', '%s', '%s', '%s', %d, %d, '%s')",
request.getProjectName(), request.getProjectType(), request.getTechnologyStack(),
request.getProjectDescription(), request.getDifficultyLevel(),
request.getEstimatedDuration(), LocalDateTime.now().toString()
);
sparkSession.sql(insertSQL);
response.put("message", "项目创建成功");
response.put("projectName", request.getProjectName());
} else if (request.getAction().equals("ASSIGN")) {
Dataset<Row> assignmentCheck = sparkSession.sql(
"SELECT COUNT(*) as assigned_count FROM student_projects " +
"WHERE student_id = " + request.getStudentId() + " AND project_status = 'ACTIVE'"
);
long activeProjects = assignmentCheck.first().getLong("assigned_count");
if (activeProjects >= 3) {
response.put("error", "学生已有3个活跃项目，无法分配新项目");
return response;
}
String assignSQL = String.format(
"INSERT INTO student_project_relation (student_id, project_id, assign_time, project_status) " +
"VALUES (%d, %d, '%s', 'ACTIVE')",
request.getStudentId(), request.getProjectId(), LocalDateTime.now().toString()
);
sparkSession.sql(assignSQL);
response.put("message", "项目分配成功");
} else if (request.getAction().equals("PROGRESS_UPDATE")) {
String updateSQL = String.format(
"UPDATE student_project_relation SET progress_percentage = %d, " +
"last_update_time = '%s', status_description = '%s' " +
"WHERE student_id = %d AND project_id = %d",
request.getProgressPercentage(), LocalDateTime.now().toString(),
request.getStatusDescription(), request.getStudentId(), request.getProjectId()
);
sparkSession.sql(updateSQL);
response.put("message", "项目进度更新成功");
response.put("newProgress", request.getProgressPercentage());
}
Dataset<Row> projectStats = sparkSession.sql(
"SELECT project_type, COUNT(*) as project_count, " +
"AVG(difficulty_level) as avg_difficulty " +
"FROM projects GROUP BY project_type ORDER BY project_count DESC"
);
List<Map<String, Object>> statsData = new ArrayList<>();
projectStats.collectAsList().forEach(row -> {
Map<String, Object> stat = new HashMap<>();
stat.put("projectType", row.getString("project_type"));
stat.put("count", row.getLong("project_count"));
stat.put("avgDifficulty", row.getDouble("avg_difficulty"));
statsData.add(stat);
});
response.put("projectStatistics", statsData);
response.put("totalProjects", projectData.count());
response.put("processTime", LocalDateTime.now().toString());
return response;
}
@PostMapping("/interaction/forum/intelligent")
public Map<String, Object> intelligentForumInteraction(@RequestBody ForumRequest request) {
Map<String, Object> result = new HashMap<>();
Dataset<Row> forumPosts = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "forum_posts")
.option("user", "root")
.option("password", "password")
.load();
Dataset<Row> interactionData = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "interaction_records")
.option("user", "root")
.option("password", "password")
.load();
Dataset<Row> reportData = sparkSession.read()
.format("jdbc")
.option("url", "jdbc:mysql://localhost:3306/achievement_db")
.option("dbtable", "report_records")
.option("user", "root")
.option("password", "password")
.load();
forumPosts.createOrReplaceTempView("forum_posts");
interactionData.createOrReplaceTempView("interactions");
reportData.createOrReplaceTempView("reports");
if (request.getActionType().equals("POST_ANALYSIS")) {
Dataset<Row> postAnalysis = sparkSession.sql(
"SELECT f.post_id, f.post_title, f.post_content, f.category_id, " +
"COUNT(i.interaction_id) as interaction_count, " +
"COUNT(r.report_id) as report_count, " +
"AVG(i.interaction_score) as avg_interaction_score " +
"FROM forum_posts f " +
"LEFT JOIN interactions i ON f.post_id = i.post_id " +
"LEFT JOIN reports r ON f.post_id = r.reported_post_id " +
"WHERE f.post_id = " + request.getPostId() + " " +
"GROUP BY f.post_id, f.post_title, f.post_content, f.category_id"
);
Row postRow = postAnalysis.first();
result.put("postId", postRow.getLong("post_id"));
result.put("postTitle", postRow.getString("post_title"));
result.put("interactionCount", postRow.getLong("interaction_count"));
result.put("reportCount", postRow.getLong("report_count"));
result.put("avgInteractionScore", postRow.getDouble("avg_interaction_score"));
Dataset<Row> riskAssessment = sparkSession.sql(
"SELECT CASE " +
"WHEN report_count > 3 AND avg_interaction_score < 2.0 THEN 'HIGH_RISK' " +
"WHEN report_count > 1 AND avg_interaction_score < 3.0 THEN 'MEDIUM_RISK' " +
"ELSE 'LOW_RISK' END as risk_level " +
"FROM (SELECT COUNT(r.report_id) as report_count, " +
"COALESCE(AVG(i.interaction_score), 3.0) as avg_interaction_score " +
"FROM forum_posts f " +
"LEFT JOIN interactions i ON f.post_id = i.post_id " +
"LEFT JOIN reports r ON f.post_id = r.reported_post_id " +
"WHERE f.post_id = " + request.getPostId() + ")"
);
result.put("riskLevel", riskAssessment.first().getString("risk_level"));
} else if (request.getActionType().equals("INTERACTION_RECOMMENDATION")) {
Dataset<Row> userBehavior = sparkSession.sql(
"SELECT i.user_id, f.category_id, " +
"COUNT(i.interaction_id) as interaction_frequency, " +
"AVG(i.interaction_score) as avg_score " +
"FROM interactions i " +
"JOIN forum_posts f ON i.post_id = f.post_id " +
"WHERE i.user_id = " + request.getUserId() + " " +
"GROUP BY i.user_id, f.category_id " +
"ORDER BY interaction_frequency DESC, avg_score DESC"
);
List<Map<String, Object>> recommendations = new ArrayList<>();
userBehavior.limit(5).collectAsList().forEach(row -> {
Map<String, Object> rec = new HashMap<>();
rec.put("categoryId", row.getLong("category_id"));
rec.put("interactionFreq", row.getLong("interaction_frequency"));
rec.put("avgScore", row.getDouble("avg_score"));
recommendations.add(rec);
});
result.put("categoryRecommendations", recommendations);
Dataset<Row> similarUsers = sparkSession.sql(
"SELECT user_id, COUNT(*) as common_interactions " +
"FROM interactions " +
"WHERE post_id IN (SELECT post_id FROM interactions WHERE user_id = " + request.getUserId() + ") " +
"AND user_id != " + request.getUserId() + " " +
"GROUP BY user_id ORDER BY common_interactions DESC LIMIT 3"
);
result.put("similarUsers", similarUsers.collectAsList());
}
Dataset<Row> globalStats = sparkSession.sql(
"SELECT COUNT(DISTINCT f.post_id) as total_posts, " +
"COUNT(DISTINCT i.user_id) as active_users, " +
"AVG(interaction_count) as avg_interactions_per_post " +
"FROM forum_posts f " +
"LEFT JOIN (SELECT post_id, COUNT(*) as interaction_count FROM interactions GROUP BY post_id) ic ON f.post_id = ic.post_id " +
"LEFT JOIN interactions i ON f.post_id = i.post_id"
);
Row statsRow = globalStats.first();
result.put("totalPosts", statsRow.getLong("total_posts"));
result.put("activeUsers", statsRow.getLong("active_users"));
result.put("avgInteractionsPerPost", statsRow.getDouble("avg_interactions_per_post"));
result.put("analysisTimestamp", LocalDateTime.now().toString());
return result;
}
}
基于SpringBoot的学生学习成果管理平台文档展示
💖💖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
