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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/9005


    Title: Applying Semantic Agents to Message Communication in e-Learning Environment
    Authors: Ying-Hong Wang;Chih-Hao Lin;Shih-Wei Lin
    Keywords: Agent;Semantic Technology;Distance Learning;Link Grammar;Ontology
    Date: 2006-12
    Issue Date: 2010-04-21 10:55:49 (UTC+8)
    Abstract: e-learning has become an important issue in the practice and research recently. A tool or system
    of distance learning should provide automatic functionalities to decrease the overload of instructors
    and students compared with the traditional learning style. In this paper, we present an English chat
    room system in which students can discuss course contents by interacting with teachers and students.
    First, the novel mechanism provides Learning_Angel Agent and Semantic Agent that act as supervisors
    that constantly handle queries online. Next, the mechanism provides a QA subsystem that acts as an
    assistant. The Learning_Angel Agent can detect syntax errors made by online users. The Semantic
    Agent can check the semantic meaning of each sentence. Sometimes, learners make semantic level
    mistakes. This implies that they do not understand the course topic or some particular issue. The
    semantic agent can, thus, give some suggestions for corrections to the users and analyze the data in the
    learner corpus. Moreover, when users query the system or other online users, this system will attempt
    to find answers from the knowledge ontology or learner corpus that is stored in the records of previous
    users’ comments. Furthermore, if enough QA pairs can be accumulated, the FAQ can act as a powerful
    learning tool for learners.
    Relation: Tamkang Journal of Science and Engineering 9(4) : 373-386
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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