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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 張瑞益(Ray-I Chang) | |
| dc.contributor.author | Wei-Ting Wang | en |
| dc.contributor.author | 王韋庭 | zh_TW |
| dc.date.accessioned | 2021-06-17T04:43:54Z | - |
| dc.date.available | 2021-08-10 | |
| dc.date.copyright | 2018-08-10 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-03 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70921 | - |
| dc.description.abstract | 為培養學習者能夠整合應用各方所學，擁有實務上解決問題的能力，教案設計者需以實現跨領域教材為目標。過往的學習訓練及師資培育是以分科培育的方式，課程及教案教材設計上，亦是分領域、分科目。今日，跨領域人才培育逐漸受到重視，領域整合課程陸續被納入國家課綱。欲整合多方領域資訊，教案設計者將面對的是跨科領域的知識障礙。儘管跨領域學習並不是一個全然新穎的概念，但過去在推動與實行上並未完全被重視，以至於跨領域教材的缺乏。本研究提出一跨領域學習路徑輔助（ILPA，Interdisciplinary Learning Path Auxiliary）系統，使用目前全球網路上最大且最受大眾歡迎的參考工具－維基百科，作為知識資料基礎。利用其完整的分類結構及豐富的文章內容實體，以知識圖譜的概念建立不同領域主題間的連結，並汲取百科文本內容作詞向量的訓練，利用詞向量模型輔助擴展主題與延伸領域。提供教材製作者與學習者，在跨領域教案設計與學習歷程上的輔助。並設計使用者反饋機制，以互動式機器學習（IML，Interactive Machine Learning）概念，優化系統生成的跨領域知識路徑，提高 ILPA 系統的輔助表現。 | zh_TW |
| dc.description.abstract | In order to solve practical problems, learners are expected to have comprehensive abilities. Curriculum designers are dedicated to develop interdisciplinary curriculum to cultivate learners’ abilities of integration. In the past, school learning and teacher education put an emphasis on individual subject matters, and the curriculum were designed in separate subjects as well. Nowadays, curriculum designers are facing the challenge of the interdisciplinary knowledge that requires integrating multidisciplinary information. Interdisciplinary learning is not a novel concept. However, its practice still necessitates of interdisciplinary teaching materials. In this paper, we design an interdisciplinary learning path auxiliary (ILPA) system that uses information and knowledge of Wikipedia, which is the largest and most popular general reference work on the Internet, as basic data. The relations among topics of different subjects are established with the concept of knowledge graph by the training of word to vector (W2V) model. It is taken by utilizing Wikipedia’s complete classification construction and abundant articles. The application of W2V model assists in extending subjects. The goal of this research is to provide designers and learners with assistance in the constructing process of developing interdisciplinary learning, to break through the domain of knowledge barriers, and design an ecosystem structure by using the concept of interactive machine learning (IML) for improving the performance of ILPA. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T04:43:54Z (GMT). No. of bitstreams: 1 ntu-107-R05525057-1.pdf: 5386051 bytes, checksum: b82e9e1b200e72b022eecf8684fb72db (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 摘要 i
ABSTRACT ii 論文目錄 iii 圖目錄 v 表目錄 vi 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 3 1.3 論文架構 4 第二章 文獻探討 5 2.1 跨領域研究 5 2.2 跨領域教育 6 2.3 教與學模式 7 2.4 論文使用技術 9 第三章 研究方法 12 3.1 主題學習 12 3.2 知識資料基礎 15 3.3 詞向量與知識圖譜 15 第四章 系統設計與流程 18 4.1 資料模型預訓練 19 4.2 產生知識圖譜路徑 20 4.3 使用者反饋優化 25 第五章 實驗分析與討論 27 5.1 知識節點與路徑 27 5.2 詞向量模型輔助 34 5.3 跨領域教案比較 37 第六章 結論與未來展望 42 參考文獻 45 附錄一 49 附錄二 52 | |
| dc.language.iso | zh-TW | |
| dc.subject | 跨領域學習 | zh_TW |
| dc.subject | 詞向量 | zh_TW |
| dc.subject | 知識圖譜 | zh_TW |
| dc.subject | 互動式 | zh_TW |
| dc.subject | 機器學習 | zh_TW |
| dc.subject | Machine Learning | en |
| dc.subject | Word Vectors | en |
| dc.subject | Knowledge Graph | en |
| dc.subject | Interdisciplinary Learning | en |
| dc.subject | Interactive | en |
| dc.title | 跨領域學習路徑輔助系統之設計與實作 | zh_TW |
| dc.title | Design and Implementation of an Interdisciplinary Learning Path Auxiliary System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 丁肇隆(Chao-Lung Ting),王家輝(Chia-Hui Wang),林正偉(Zheng-Wei Lin),范莎惠(Sha-Hui Fan) | |
| dc.subject.keyword | 跨領域學習,詞向量,知識圖譜,互動式,機器學習, | zh_TW |
| dc.subject.keyword | Interdisciplinary Learning,Word Vectors,Knowledge Graph,Interactive,Machine Learning, | en |
| dc.relation.page | 58 | |
| dc.identifier.doi | 10.6342/NTU201802415 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-08-03 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
| Appears in Collections: | 工程科學及海洋工程學系 | |
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| File | Size | Format | |
|---|---|---|---|
| ntu-107-1.pdf Restricted Access | 5.26 MB | Adobe PDF |
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