學術產出-Proceedings

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 Inferring Appropriate Feedback Timing from Answering Styles for Open-Ended Questions
作者 李蔡彥
Liao, Chun-Hsin ; Li, Tsai-Yen ; Chang, Chun-Yen
貢獻者 國立政治大學資訊科學系
日期 2009-11
上傳時間 27-May-2010 16:49:19 (UTC+8)
摘要 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.
關聯 Proceedings of the 17th International Conference on Computers in Education
資料類型 conference
dc.contributor 國立政治大學資訊科學系en_US
dc.creator (作者) 李蔡彥zh_TW
dc.creator (作者) Liao, Chun-Hsin ; Li, Tsai-Yen ; Chang, Chun-Yen-
dc.date (日期) 2009-11en_US
dc.date.accessioned 27-May-2010 16:49:19 (UTC+8)-
dc.date.available 27-May-2010 16:49:19 (UTC+8)-
dc.date.issued (上傳時間) 27-May-2010 16:49:19 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/39725-
dc.description.abstract (摘要) 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.
-
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Proceedings of the 17th International Conference on Computers in Educationen_US
dc.title (題名) Inferring Appropriate Feedback Timing from Answering Styles for Open-Ended Questionsen_US
dc.type (資料類型) conferenceen