體驗區
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| 篇名 |
跨領域研究社群的實施與創新：以教學策略之AI推薦系統研究社群為例
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| 並列篇名 |
Implementation and Innovation of the Interdisciplinary Research Community: A Research Community of AI Recommender System for Teaching Strategies
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| 作者 |
黃儒傑(Ju-Chieh Huang)
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| 中文摘要 |
跨領域教學與研究是當前重要發展趨勢，而組成跨領域研究社群進行深度的專業對話，有助於擴大研究視野與創新。因此，本文先探討跨領域研究社群的優點、實施策略，再進一步分享研究者與跨領域教師組成之跨領域社群的運作歷程與經驗，包括進行AI當前應用概述及發想AI在教學應用的共同主題、討論「教學策略之AI推薦系統」之目的與方法、討論「教學策略之AI推薦系統」之教學策略與學習效果指標、進行「教學策略之AI推薦系統」之資料分析等。據此，建議未來進行跨領域研究社群時，可從建立關係與專業對話中發想共同研究主題、討論跨領域研究目的與方法、規劃蒐集研究樣本資料的工具或指標、資料分析及提出研究成果等歷程，進行深度專業對話及教學與研究的創新。
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| 英文摘要 |
The interdisciplinary teaching and research is an important development trend at present. Constituting an interdisciplinary research community to conduct in-depth professional dialogue will help researchers expand their research horizons and innovation. This paper explored the strengths and implementation strategies of interdisciplinary research communities, and shared the implementation processes and experience of the research community of AI recommender system for teaching strategies, including: discussing the common themes of AI in teaching applications, discussing the purpose and method of “AI recommendation system for teaching strategies”; discussing the indicators of teaching strategies and learning effects, and data analysis, etc. Therefore, this paper suggests the interdisciplinary communities can conduct in-depth professional dialogues to innovative teaching and research from the community implementation processes of developing good partnerships to discuss common research topics, discussing the purpose and methods, discussing instruments or indicators, analyzing data, and presenting research results.
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| 頁次 |
004-017
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| 關鍵詞 |
人工智慧
、推薦系統
、教師社群
、教學策略
、跨領域研究
、artificial intelligence
、recommender system
、teacher communities
、teaching strategies
、interdisciplinary research
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| 卷期 |
300
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| 日期 |
201904
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| 刊名 |
教育研究月刊
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| 出版單位 |
高等教育文化事業有限公司
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| DOI |
10.3966/168063602019040300001
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