南華大學機構典藏系統:Item 987654321/28203
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18278/19583 (93%)
Visitors : 913506      Online Users : 100
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://nhuir.nhu.edu.tw/handle/987654321/28203


    Title: 數位內容導入人工智慧協同教學之初探
    Other Titles: A Preliminary Study of Applying Digital Content to AI-based Collaborative Teaching
    Authors: 林芓妡
    LIN, ZI-XIN
    Contributors: 文化創意事業管理學系
    黃昱凱
    HUANG, YU-KAI
    Keywords: 協同教學;數位內容;AI科技
    AI Technology;Collaborative Teaching;Digital Contents
    Date: 2020
    Issue Date: 2022-04-29 11:36:44 (UTC+8)
    Abstract:   順應教育4.0與5G時代的來臨,人類不僅要學會跨界整合的知識與技能,還要能藉助人工智慧(AI)科技的廣博與效率,共同突破當前的困境,創造幸福美好的生活。本文以雲林縣某國小為例,探討該校數位內容導入人工智慧協同教學時,教師選擇AI科技之決策因素。經相關文獻探討,初步認識數位內容導入臺灣教育的現況,進而比較國內外智慧科技及人機協同教學法之發展與應用,接著建構出影響國小教師選擇AI科技決策因素的三大構面及其各項評估準則共十二項。經由專家問卷的發放與資料分析後,發現教師選擇AI科技決策因素之主要構面重要性依序為「協同任務」、「功能特性」和「造型特徵」,而評估準則中重要度依序前四名為「學習扶助」、「代工維安」、「教學觀察」與「記錄檢核」。本研究之分析結果將有助於提供給數位內容開發及個別推薦服務之參考。
      To take on the challenge of Education 4.0 and 5G technology, people today not only have to get equipped with interdisciplinary knowledge and skills but also know how to take advantage of the efficiency and extensiveness of artificial intelligence (AI) technology. The purpose of this study was to find out the factors which affect teachers' selection of AI technology as apply digital contents to collaborative teaching with AI technology. This study took an elementary school in Yunlin County as an example. First, based on references, it discussed the current situation of the usage of digital contents in education in Taiwan. Second, it compared the development and application of Artificial Intelligent Technology and the collaborative teaching with AI technology at home and abroad. The study built up with 3 dimensions with 12 determinants based on AHP. The results showed that the priorities of the 3 dimensions were "collaborative tasks", "functional features", and "modeling features". The top 4 priorities among the 12 determinants were "computer-aided learning", "security", "teaching observation“, and "data collection". The results of the research are helpful for the development of digital content and individual recommendation service.
    Appears in Collections:[Department of Cultural & Creative Enterprise Management] Disserations and Theses(Cultural & Creative Enterprise Management)

    Files in This Item:

    File Description SizeFormat
    108NHU00785005-001.pdf5332KbAdobe PDF474View/Open
    index.html0KbHTML609View/Open


    All items in NHUIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback