應用大數據分析開發教材與相關時事推薦系統

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姓名

邵盈智(Yingzhi Shao) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

應用大數據分析開發教材與相關時事推薦系統
(Applying Big Data Analytics to Develop an Educational Material and related News Recommendation System)

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摘要(中)

近年來，開放教育資源(Open Educational Resources)逐漸的普及，使用者透過網路可以針對自身得需要輕易的取得和分享教學資源，開放教育資源也開始對教師、學習者選取教學、學習資源產生影響。
然而龐大的資源數量也導致使用者需花費大量時間找尋所需資源，僅依賴搜尋引擎仍不足以滿足使用者的需求，多數的研究也顯示如何幫助使用者找到適合的資源是一個具挑戰的問題。因此本研究提出了一個使用關聯規則建構的推薦系統，透過使用教育專家建立的教育詞彙庫分析教育資源所包含的教育詞彙，利用巨量資料分析框架針對教育資源隱含之教育辭彙建立關聯規則，利用關聯規則建立每一筆教學資源的推薦，當使用者瀏覽教育資源時可以一併得知有關聯性的開放教學資源和與教材相關的時事新聞，利用推薦系統幫助使用者找到適合的開放教育資源以提升開放資源的使用率。

摘要(英)

In recent years, Open Educational Resources (OER) has gradually become widespread. That OER users can easily access, make, and share educational resources according to their own needs through Internet influences on the selection of educational resources. However, a huge amount of resources has led to OER users spend a lot of time sourcing the necessary resources only with a simple search engine and lots of research point out that help users to find “right” OER is a challenge. This paper develops an OER and OER-related news recommendation system through educational corpus, association rules and Big Data analytics technique. When educators or learners browse the OER web pages, they can be aware of the relevance of OER and OER-related news easily. This study compares the recommendation system with two platforms that OER users often choose to look for OER and results show that using recommendation system can help users find resources.

關鍵字(中)

★ 開放教育資源
★ 巨量資料
★ 推薦系統
★ 關聯規則

關鍵字(英)

★ Open Educational Resources
★ OER
★ Big Data
★ Recommendation System
★ Association rules

論文目次

摘要 i
ABSTRACT ii
圖目錄 iv
表格目錄 v
一、緒論 1
1.1 研究背景與動機 1
1.2 研究範圍與限制 3
二、文獻探討 4
2.1 開放教育資源(OER)的現況 4
2.2 推薦系統 6
三、系統設計 8
3.1系統開發環境與工具 8
3.1.1 開發環境-資料收集 9
3.1.2 開發環境-資料儲存 9
3.1.3 開發環境-資訊分析與淬取 10
3.1.4 開發環境-資訊應用 12
3.2資料集 13
3.2.1 資料集來源 13
3.2.2 資料集儲存結構 15
3.3系統架構 16
3.3.1 資料收集 18
3.3.2 資料儲存 20
3.3.3 資訊萃取與分析 20
3.3.4 資訊應用 27
四、結果與討論 31
五、結論與未來研究 35
參考文獻 36

參考文獻

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指導教授

楊鎮華

審核日期

2016-7-22

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