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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/39725


    Title: Inferring Appropriate Feedback Timing from Answering Styles for Open-Ended Questions
    Authors: 李蔡彥
    Liao, Chun-Hsin;Li, Tsai-Yen;Chang, Chun-Yen
    Contributors: 國立政治大學資訊科學系
    Date: 2009-11
    Issue Date: 2010-05-27 16:49:19 (UTC+8)
    Abstract: Among the possible forms of test, open-ended question has a non-replaceable role in assessing
    high-level thinking in science education. However, teachers usually hesitate to give
    this type of tests because of the grading efforts involved unless the grading can be processed
    automatically by the computer. Recently, there has been much research on automatic text
    processing in the area of language learning and writing [1] and science education [2]. The
    system in [2] was further customized into an intelligent tutoring system, called VIBRANT,
    that can provide feedback to the students according to the answers that have been inputted
    so far [3]. In this system, the students were asked to answer an open-ended question in the
    form of ideation and explanation. When an idea or explanation is entered, appropriate
    comments or feedbacks are provided automatically according to the established user model.
    However, this system requires a model of domain expert to compute the score for the students.
    In addition, only the overall collection of answers counts without regard to the course
    of how they were inputted.
    Relation: Proceedings of the 17th International Conference on Computers in Education
    Data Type: conference
    Appears in Collections:[Department of Computer Science ] Proceedings

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