Development and Use of an Activity Model Based on Structured Knowledge: A Music Teaching Support System
Development and Use of an Activity Model Based on Structured Knowledge: A Music Teaching Support System
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基于结构化知识的活动模型的开发和使用：音乐教学支持系统
DOI：
10.1109/icdmw.2017.82
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Takuichi Nishimura
中科院分区：
文献类型：
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作者：
Nami Iino;Satoshi Nishimura;Ken Fukuda;Kentaro Watanabe;Kristiina Jokinen;Takuichi Nishimura
为了收集和解释社区中有意义的知识，我们提出了一种基于结构化知识的活动模型。与制定模式有关的问题如下：(A)获取活动的困难；(B)获取知识的困难；(C)根据新采用的技术优化活动的困难。因此，我们正在开发利用现场活动和知识作为基于知识的活动模式的技术，以增强社区智能(观察、判断、合作)。作为其应用领域的一个例子，我们选择了古典吉他。古典吉他诞生于19世纪末，对古典吉他演绎的系统化至今尚未完成。因此，老师的吉他演奏指导有时差异很大，这让学生感到困惑。因此，我们的目标是开发一个教学支持系统，该系统收集吉他演奏的知识，同时记录学生的进步过程。在本研究中，我们举办了由专业吉他手举办的研讨会，并构建了一个知识模型，将最新的吉他再现习得过程系统化。该模式将允许组织各种活动，并有助于改善和重建音乐教学服务。
To collect and explicate meaningful knowledge of a community, we propose an Activity Model based on structured knowledge. The following issues arise related to the model development: (a) difficulties in capturing activities; (b) difficulty of acquiring knowledge; and (c) difficulty in optimizing the activities to newly adopted technologies. Therefore, we are developing technologies that use on-site activities and knowledge as a knowledge-based Activity Model to enhance community intelligence (observation, judgment, cooperation). As an example of its application domain, we chose classical guitar. Classical guitar was established in the late 19th century, and systematization of classical guitar rendition has not yet been completed. Therefore, instructions for playing the guitar sometimes differ greatly among teachers, which confuses students. We thus aim at developing an instruction support system which collects the knowledge of guitar rendition while recording the student improvement process. For this study, we conducted workshops by professional guitarists and structured a knowledge model that systematizes the latest acquisition process of guitar rendition. The model will allow structuring of various activities and help improve and reconstruct music teaching services.
基于领域的“知识表达”方法的提出
DOI：
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发表时间：
2017
期刊：
人工知能学会論文誌
影响因子：
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作者：
Hisae Yoshida;Masahiro Sekiguchi;Keisuke Masukawa;Sho Yamazaki;Emire Inomata;Kazumasa Akita;Takeshi Ishikawa;Taiichi Sakamoto;Kenji Yamagishi;S. Takemoto;山岸賢司;小川祐樹，高史明，鳥海不二夫;西村悟史， 大谷博， 畠山直人， 長谷部希恵子， 福田賢一郎， 來村徳信， 溝口理一郎， 西村拓一
通讯作者：
西村悟史， 大谷博， 畠山直人， 長谷部希恵子， 福田賢一郎， 來村徳信， 溝口理一郎， 西村拓一