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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72065

    Title: 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
    Authors: 邵盈智;Shao,Yingzhi
    Contributors: 資訊工程學系
    Keywords: 開放教育資源;巨量資料;推薦系統;關聯規則;Open Educational Resources;OER;Big Data;Recommendation System;Association rules
    Date: 2016-07-22
    Issue Date: 2016-10-13 14:24:19 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 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。
    ;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.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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