基于SpringBoot的乡村支教管理系统【spring boot实战项目、期末大作业】【源码+论文+答辩】 - 指南

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、微信小脚本、Python、Golang、安卓Android等，编写项目包括大资料、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：感谢大家的关注与协助！

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

基于SpringBoot的乡村支教管理系统介绍

基于SpringBoot的乡村支教管理系统是一套面向乡村教育支援活动的综合性管理平台，采用当前主流的Java技能栈进行开发，后端基于SpringBoot框架（集成Spring+SpringMVC+Mybatis），前端采用Vue+ElementUI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架构设计，确保环境的稳定性和可扩展性。该系统围绕乡村支教活动的全生命周期管理需求，构建了完整的功能体系：志愿者信息管理模块负责支教人员的基本信息维护和档案管理；乡村学校模块管理受援学校的基础信息和需求状况；知识库模块为志愿者提供支教相关的知识储备和经验分享；支教项目模块实现任务的创建、发布和全程跟踪管理，配合项目报名功能实现志愿者与项目的精准匹配；任务管理体系通过任务信息、任务分配和任务提交三个子模块，实现支教工作的标准化流程管理；教学资源管理通过资源分类、教学资源和资源分配模块，确保优质教育资源的有效配置和合理分发；活动管理体系涵盖活动类型定义、活动信息发布和活动报名功能，丰富支教活动的形式和内容；评价信息模块建立多维度的评估反馈机制；奖励信息模块激励优秀志愿者和项目；社交论坛配合论坛分类能力营造良好的交流氛围；系统还集成了智能AI辅助功能，提升管理效率和决策质量，同时通过举报记录、公告信息等能力维护平台秩序，为乡村支教事业提供全方位的信息化管理解决方案。

基于SpringBoot的乡村支教管理系统演示视频

基于SpringBoot的乡村支教管理系统【spring boot实战项目、期末大作业】【源码+论文+答辩】

基于SpringBoot的乡村支教管理系统演示图片

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基于SpringBoot的乡村支教管理系统代码展示

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 SupportProjectMatchService
{
@Autowired
private SparkSession spark = SparkSession.builder().appName("SupportProjectAnalysis").master("local[*]").getOrCreate();
@Autowired
private ProjectMapper projectMapper;
@Autowired
private VolunteerMapper volunteerMapper;
public ProjectMatchResult matchVolunteerToProject(Long volunteerId) {
Volunteer volunteer = volunteerMapper.selectById(volunteerId);
Dataset<
Row> projectData = spark.read().jdbc("jdbc:mysql://localhost:3306/support_system", "support_project", connectionProperties);
Dataset<
Row> volunteerSkills = spark.read().jdbc("jdbc:mysql://localhost:3306/support_system", "volunteer_skills", connectionProperties);
Dataset<
Row> matchedProjects = projectData.join(volunteerSkills, projectData.col("required_skills").contains(volunteerSkills.col("skill_name")))
.filter(projectData.col("status").equalTo("recruiting"))
.filter(projectData.col("location_type").equalTo(volunteer.getPreferredLocation()))
.select(projectData.col("project_id"), projectData.col("project_name"), projectData.col("match_score"))
.orderBy(projectData.col("match_score").desc());
List<
Row> topMatches = matchedProjects.limit(5).collectAsList();
ProjectMatchResult result = new ProjectMatchResult();
result.setVolunteerId(volunteerId);
result.setMatchedProjects(topMatches.stream().map(row ->
{
ProjectMatch match = new ProjectMatch();
match.setProjectId(row.getLong("project_id"));
match.setProjectName(row.getString("project_name"));
match.setMatchScore(row.getDouble("match_score"));
return match;
}).collect(Collectors.toList()));
for (ProjectMatch match : result.getMatchedProjects()) {
ProjectApplication application = new ProjectApplication();
application.setVolunteerId(volunteerId);
application.setProjectId(match.getProjectId());
application.setApplicationTime(LocalDateTime.now());
application.setStatus("auto_matched");
application.setMatchScore(match.getMatchScore());
projectApplicationMapper.insert(application);
}
return result;
}
}
@Service
public class ResourceAllocationService
{
@Autowired
private SparkSession spark = SparkSession.builder().appName("ResourceAllocation").master("local[*]").getOrCreate();
@Autowired
private ResourceMapper resourceMapper;
@Autowired
private SchoolMapper schoolMapper;
public ResourceAllocationResult allocateResources() {
Dataset<
Row> schoolNeeds = spark.read().jdbc("jdbc:mysql://localhost:3306/support_system", "rural_school", connectionProperties)
.select("school_id", "school_name", "student_count", "resource_priority", "location_difficulty");
Dataset<
Row> availableResources = spark.read().jdbc("jdbc:mysql://localhost:3306/support_system", "teaching_resource", connectionProperties)
.filter(col("status").equalTo("available"))
.select("resource_id", "resource_name", "resource_type", "quantity", "allocation_weight");
Dataset<
Row> allocationMatrix = schoolNeeds.crossJoin(availableResources)
.withColumn("allocation_score",
col("resource_priority").multiply(col("allocation_weight"))
.divide(col("location_difficulty"))
.multiply(lit(100)))
.filter(col("allocation_score").gt(60));
WindowSpec windowSpec = Window.partitionBy("resource_id").orderBy(col("allocation_score").desc());
Dataset<
Row> rankedAllocations = allocationMatrix.withColumn("rank", row_number().over(windowSpec))
.filter(col("rank").leq(3));
List<
Row> finalAllocations = rankedAllocations.collectAsList();
ResourceAllocationResult result = new ResourceAllocationResult();
List<
ResourceAllocation> allocations = new ArrayList<
>();
for (Row allocation : finalAllocations) {
ResourceAllocation resourceAllocation = new ResourceAllocation();
resourceAllocation.setResourceId(allocation.getLong("resource_id"));
resourceAllocation.setSchoolId(allocation.getLong("school_id"));
resourceAllocation.setAllocationScore(allocation.getDouble("allocation_score"));
resourceAllocation.setAllocationTime(LocalDateTime.now());
resourceAllocation.setStatus("allocated");
int allocatedQuantity = Math.min(allocation.getInt("quantity"),
(int)(allocation.getInt("student_count") * 0.3));
resourceAllocation.setQuantity(allocatedQuantity);
resourceMapper.updateResourceQuantity(resourceAllocation.getResourceId(), allocatedQuantity);
resourceAllocationMapper.insert(resourceAllocation);
allocations.add(resourceAllocation);
}
result.setAllocations(allocations);
result.setTotalAllocated(allocations.size());
return result;
}
}
@Service
public class VolunteerEvaluationService
{
@Autowired
private SparkSession spark = SparkSession.builder().appName("VolunteerEvaluation").master("local[*]").getOrCreate();
@Autowired
private EvaluationMapper evaluationMapper;
@Autowired
private TaskMapper taskMapper;
public VolunteerEvaluationResult evaluateVolunteer(Long volunteerId) {
Dataset<
Row> taskPerformance = spark.read().jdbc("jdbc:mysql://localhost:3306/support_system", "task_submission", connectionProperties)
.filter(col("volunteer_id").equalTo(volunteerId))
.select("task_id", "completion_rate", "quality_score", "submit_time", "deadline");
Dataset<
Row> evaluationData = spark.read().jdbc("jdbc:mysql://localhost:3306/support_system", "evaluation_info", connectionProperties)
.filter(col("volunteer_id").equalTo(volunteerId))
.select("evaluation_score", "evaluation_type", "evaluator_type", "create_time");
Dataset<
Row> performanceMetrics = taskPerformance
.withColumn("punctuality_score",
when(col("submit_time").lt(col("deadline")), lit(100))
.when(col("submit_time").equalTo(col("deadline")), lit(80))
.otherwise(lit(50)))
.groupBy().agg(
avg("completion_rate").alias("avg_completion_rate"),
avg("quality_score").alias("avg_quality_score"),
avg("punctuality_score").alias("avg_punctuality_score"),
count("task_id").alias("total_tasks"));
Dataset<
Row> evaluationMetrics = evaluationData
.groupBy("evaluation_type").agg(
avg("evaluation_score").alias("avg_score"),
count("evaluation_score").alias("evaluation_count"));
Row performanceRow = performanceMetrics.first();
List<
Row> evaluationRows = evaluationMetrics.collectAsList();
double comprehensiveScore = performanceRow.getDouble("avg_completion_rate") * 0.3 +
performanceRow.getDouble("avg_quality_score") * 0.4 +
performanceRow.getDouble("avg_punctuality_score") * 0.3;
double studentEvaluationScore = evaluationRows.stream()
.filter(row ->
"student".equals(row.getString("evaluation_type")))
.mapToDouble(row -> row.getDouble("avg_score"))
.findFirst().orElse(0.0);
double teacherEvaluationScore = evaluationRows.stream()
.filter(row ->
"teacher".equals(row.getString("evaluation_type")))
.mapToDouble(row -> row.getDouble("avg_score"))
.findFirst().orElse(0.0);
double finalScore = comprehensiveScore * 0.5 + studentEvaluationScore * 0.3 + teacherEvaluationScore * 0.2;
String performanceLevel = finalScore >= 90 ? "优秀" :
finalScore >= 80 ? "良好" :
finalScore >= 70 ? "合格" : "待提升";
VolunteerEvaluationResult result = new VolunteerEvaluationResult();
result.setVolunteerId(volunteerId);
result.setComprehensiveScore(finalScore);
result.setPerformanceLevel(performanceLevel);
result.setTaskCompletionRate(performanceRow.getDouble("avg_completion_rate"));
result.setQualityScore(performanceRow.getDouble("avg_quality_score"));
result.setPunctualityScore(performanceRow.getDouble("avg_punctuality_score"));
result.setTotalTasks(performanceRow.getLong("total_tasks"));
VolunteerEvaluation evaluation = new VolunteerEvaluation();
evaluation.setVolunteerId(volunteerId);
evaluation.setFinalScore(finalScore);
evaluation.setPerformanceLevel(performanceLevel);
evaluation.setEvaluationTime(LocalDateTime.now());
evaluation.setEvaluationStatus("completed");
evaluationMapper.insert(evaluation);
return result;
}
}

基于SpringBoot的乡村支教管理系统文档展示