英语单词记忆信息系统 | 10个核心功能模块详解:Vue+ElementUI英语单词记忆系统7天开发指南

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💖💖作者:计算机毕业设计江挽 💙💙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

英语单词记忆信息系统介绍

《英语单词记忆信息系统》是一款基于Vue+ElementUI前端技术与SpringBoot后端架构开发的综合性英语学习平台。该系统采用B/S架构模式,运用MySQL数据库进行数据管理,为用户提供多元化的英语学习体验。系统核心功能涵盖单词学习管理、英文美文阅读、英文歌曲欣赏、英语故事学习、英语视频观看以及在线挑战等模块,构建了完整的英语学习生态链。通过个人中心功能,用户可以个性化定制学习计划,追踪学习进度;管理员则可通过用户管理和系统管理模块对平台进行维护。系统界面简洁美观,操作流畅便捷,支持多种学习模式切换,能够满足不同水平英语学习者的需求。挑战题管理模块设计了丰富的练习题型,结合在线挑战功能,营造了互动性强的学习氛围,有效提升了用户的英语学习效果和学习积极性。

英语单词记忆信息系统演示视频

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英语单词记忆信息系统代码展示

> import org.apache.spark.sql.SparkSession; import
> org.springframework.web.bind.annotation.*; import
> org.springframework.beans.factory.annotation.Autowired; import
> java.util.*;
> 
> @RestController @RequestMapping("/api/word") public class
> WordLearningController {
>     @Autowired
>     private WordLearningService wordLearningService;
>     private SparkSession spark = SparkSession.builder().appName("WordAnalysis").master("local").getOrCreate();
>     
>     @PostMapping("/learn")
>     public Map<String, Object> processWordLearning(@RequestBody Map<String, Object> params) {
>         Map<String, Object> result = new HashMap<>();
>         String userId = params.get("userId").toString();
>         String wordId = params.get("wordId").toString();
>         int studyTime = Integer.parseInt(params.get("studyTime").toString());
>         String learnType = params.get("learnType").toString();
>         WordLearning learning = new WordLearning();
>         learning.setUserId(userId);
>         learning.setWordId(wordId);
>         learning.setStudyTime(studyTime);
>         learning.setLearnType(learnType);
>         learning.setLearnDate(new Date());
>         learning.setMasteryLevel(calculateMasteryLevel(userId, wordId));
>         wordLearningService.saveWordLearning(learning);
>         updateUserProgress(userId, wordId, studyTime);
>         List<WordLearning> recentLearning = wordLearningService.getRecentLearning(userId, 10);
>         result.put("masteryLevel", learning.getMasteryLevel());
>         result.put("recentWords", recentLearning);
>         result.put("nextRecommendations", getNextRecommendations(userId));
>         result.put("studyStreak", calculateStudyStreak(userId));
>         result.put("totalProgress", calculateTotalProgress(userId));
>         return result;
>     }
>     
>     private int calculateMasteryLevel(String userId, String wordId) {
>         List<WordLearning> history = wordLearningService.getWordLearningHistory(userId, wordId);
>         int totalStudyTime = 0;
>         int correctAnswers = 0;
>         for (WordLearning record : history) {
>             totalStudyTime += record.getStudyTime();
>             if (record.isCorrect()) correctAnswers++;
>         }
>         double accuracyRate = history.size() > 0 ? (double) correctAnswers / history.size() : 0;
>         int masteryScore = (int) (accuracyRate * 100);
>         if (totalStudyTime > 300 && accuracyRate > 0.8) masteryScore += 20;
>         return Math.min(masteryScore, 100);
>     } }
> 
> @RestController @RequestMapping("/api/challenge") public class
> ChallengeController {
>     @Autowired
>     private ChallengeService challengeService;
>     
>     @PostMapping("/submit")
>     public Map<String, Object> processChallengeSubmission(@RequestBody Map<String, Object> params) {
>         Map<String, Object> result = new HashMap<>();
>         String userId = params.get("userId").toString();
>         String challengeId = params.get("challengeId").toString();
>         List<String> userAnswers = (List<String>) params.get("answers");
>         String challengeType = params.get("challengeType").toString();
>         Challenge challenge = challengeService.getChallengeById(challengeId);
>         List<String> correctAnswers = challenge.getCorrectAnswers();
>         int score = 0;
>         List<Boolean> answerResults = new ArrayList<>();
>         for (int i = 0; i < userAnswers.size(); i++) {
>             boolean isCorrect = correctAnswers.get(i).equalsIgnoreCase(userAnswers.get(i));
>             answerResults.add(isCorrect);
>             if (isCorrect) score += challenge.getPointsPerQuestion();
>         }
>         double accuracyRate = (double) score / (correctAnswers.size() * challenge.getPointsPerQuestion());
>         ChallengeRecord record = new ChallengeRecord();
>         record.setUserId(userId);
>         record.setChallengeId(challengeId);
>         record.setScore(score);
>         record.setAccuracyRate(accuracyRate);
>         record.setChallengeType(challengeType);
>         record.setCompletionTime(new Date());
>         challengeService.saveChallengeRecord(record);
>         updateUserRanking(userId, score);
>         result.put("score", score);
>         result.put("accuracyRate", accuracyRate);
>         result.put("answerResults", answerResults);
>         result.put("ranking", getUserRanking(userId));
>         result.put("nextChallenge", getNextRecommendedChallenge(userId, challengeType));
>         return result;
>     }
>     
>     private void updateUserRanking(String userId, int newScore) {
>         UserRanking ranking = challengeService.getUserRanking(userId);
>         if (ranking == null) {
>             ranking = new UserRanking();
>             ranking.setUserId(userId);
>             ranking.setTotalScore(newScore);
>             ranking.setChallengeCount(1);
>         } else {
>             ranking.setTotalScore(ranking.getTotalScore() + newScore);
>             ranking.setChallengeCount(ranking.getChallengeCount() + 1);
>         }
>         ranking.setAverageScore(ranking.getTotalScore() / ranking.getChallengeCount());
>         ranking.setLastChallengeTime(new Date());
>         challengeService.saveUserRanking(ranking);
>     } }
> 
> @RestController @RequestMapping("/api/content") public class
> ContentManagementController {
>     @Autowired
>     private ContentService contentService;
>     
>     @PostMapping("/process")
>     public Map<String, Object> processContentInteraction(@RequestBody Map<String, Object> params) {
>         Map<String, Object> result = new HashMap<>();
>         String userId = params.get("userId").toString();
>         String contentId = params.get("contentId").toString();
>         String contentType = params.get("contentType").toString();
>         int interactionTime = Integer.parseInt(params.get("interactionTime").toString());
>         String actionType = params.get("actionType").toString();
>         ContentInteraction interaction = new ContentInteraction();
>         interaction.setUserId(userId);
>         interaction.setContentId(contentId);
>         interaction.setContentType(contentType);
>         interaction.setInteractionTime(interactionTime);
>         interaction.setActionType(actionType);
>         interaction.setInteractionDate(new Date());
>         contentService.saveContentInteraction(interaction);
>         updateContentPopularity(contentId, actionType);
>         List<String> relatedContent = getRelatedContent(contentId, contentType);
>         UserPreference preference = updateUserPreference(userId, contentType, interactionTime);
>         result.put("interactionId", interaction.getId());
>         result.put("relatedContent", relatedContent);
>         result.put("userPreference", preference);
>         result.put("recommendedContent", getPersonalizedRecommendations(userId));
>         result.put("contentStats", getContentStatistics(contentId));
>         return result;
>     }
>     
>     private void updateContentPopularity(String contentId, String actionType) {
>         ContentPopularity popularity = contentService.getContentPopularity(contentId);
>         if (popularity == null) {
>             popularity = new ContentPopularity();
>             popularity.setContentId(contentId);
>             popularity.setViewCount(0);
>             popularity.setLikeCount(0);
>             popularity.setShareCount(0);
>         }
>         switch (actionType) {
>             case "view":
>                 popularity.setViewCount(popularity.getViewCount() + 1);
>                 break;
>             case "like":
>                 popularity.setLikeCount(popularity.getLikeCount() + 1);
>                 break;
>             case "share":
>                 popularity.setShareCount(popularity.getShareCount() + 1);
>                 break;
>         }
>         popularity.setPopularityScore(calculatePopularityScore(popularity));
>         popularity.setLastUpdated(new Date());
>         contentService.saveContentPopularity(popularity);
>     } }

英语单词记忆信息系统文档展示

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💖💖作者:计算机毕业设计江挽 💙💙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