政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75061
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113311/144292 (79%)
Visitors : 50941641      Online Users : 951
RC Version 6.0 © 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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75061


    Title: Assessing creative problem-solving with automated text grading
    Authors: Li, Tsai-yen
    李蔡彥
    Chang, Chun-yen
    Wang, Hao-chuan
    Contributors: 資科系
    Keywords: Computer-aided assessment;Automated grading;Creative problem-solving;Science learning assessment;Machine learning application
    Date: 2008
    Issue Date: 2015-05-08 16:08:43 (UTC+8)
    Abstract: The work aims to improve the assessment of creative problem-solving in science education by employing language tech- nologies and computational-statistical machine learning methods to grade students` natural language responses automat- ically. To evaluate constructs like creative problem-solving with validity, open-ended questions that elicit students` constructed responses are beneficial. But the high cost required in manually grading constructed responses could become an obstacle in applying open-ended questions. In this study, automated grading schemes have been developed and evalu- ated in the context of secondary Earth science education. Empirical evaluations revealed that the automated grading schemes may reliably identify domain concepts embedded in students` natural language responses with satisfactory inter-coder agreement against human coding in two sub-tasks of the test (Cohen`s Kappa = .65-.72). And when a single holistic score was computed for each student, machine-generated scores achieved high inter-rater reliability against human grading (Pearson`s r = .92). The reliable performance in automatic concept identification and numeric grading demon- strates the potential of using automated grading to support the use of open-ended questions in science assessments and enable new technologies for science learning.
    Relation: Computers & Education , vol. 51, no. 4, pp. 1450-1466
    Data Type: article
    DOI link: http://dx.doi.org/10.1016/j.compedu.2008.01.006
    DOI: 10.1016/j.compedu.2008.01.006
    Appears in Collections:[Department of Computer Science ] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    1-s2.0-S0360131508000341-main.pdf389KbAdobe PDF21165View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback