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Using the Free-Response Scoring Tool To Automatically Score the Formulating-Hypotheses Item. GRE Board Professional Report No. 90-02bP. Kaplan, Randy M., Bennett, Randy Elliot [microform]
Using the Free-Response Scoring Tool To Automatically Score the Formulating-Hypotheses Ite...
Using the Free-Response Scoring Tool To Automatically Score the Formulating-Hypotheses Item. GRE Board Professional Report No. 90-02bP. Kaplan, Randy M., Bennett, Randy Elliot [microform]

상세정보

자료유형  
 마이크로피시
언어부호  
본문언어 - English
보고서번호  
ETS-RR-94-08
청구기호  
370.78 E68
    서명/저자  
    Using the Free-Response Scoring Tool To Automatically Score the Formulating-Hypotheses Item. GRE Board Professional Report No. 90-02bP. : Kaplan, Randy M., Bennett, Randy Elliot - [microform]
    발행사항  
    U.S.; New Jersey : Educational Testing Service, Princeton, N.J. , Jun 94
      형태사항  
      41; 1
      총서명  
      ERIC Reports
      주기사항  
      41p.
      초록/해제  
      요약This study explores the potential for using a computer-based scoring procedure for the formulating-hypotheses (F-H) item. This item type presents a situation and asks the examinee to generate explanations for it. Each explanation is judged right or wrong, and the number of creditable explanations is summed to produce an item score. Scores were generated for 30 examinees responses to each of 8 items by a semantic pattern-matching program and independently by 5 human raters. On its initial scoring run, the program agreed highly with the raters mean item scores for some questions and improved its concurrence substantially as modifications to the automatic scoring process were made. By the final run, correlations between the program and the raters on item scores ranged from .89 to .97, and mean human-machine discrepancies ran from .6 to 1.1 on a 16-point scale. At the individual hypothesis level, the proportion agreement, given the large disproportion of correct responses in the sample, was little better than chance. F-H items might be more effectively scored by a semiautomatic system that combines machine processing with a small number of human judges, and a preliminary configuration for such a process is presented. Appendix A discusses scoring iterations and modifications to the tool, and Appendix B presents changes to the scoring tools interface. (Contains 5 figures, 9 tables, and 14 references.) (AuthorSLD)
      복제주기  
      Microfiche. . Springfield, VA : ERIC Document Reproduction Service. . microfiches ; 11×15 cm.
      기금정보  
      Graduate Record Examinations Board, Princeton, N.J.
      일반주제명  
      키워드  
      기타저자  
      기타저자  

      MARC

       008980930s1994        us            b          000  0  eng  d
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      ■001PCUL00371060
      ■002ED385558
      ■00520020803010340
      ■007heuumu---buua
      ■008980930s1994        us            b          000  0  eng  d
      ■040    ▼apcul
      ■0410  ▼aEnglish
      ■088    ▼aETS-RR-94-08
      ■090    ▼a370.78▼bE68
      ■24500▼aUsing  the  Free-Response  Scoring  Tool  To  Automatically  Score  the  Formulating-Hypotheses  Item.  GRE  Board  Professional  Report  No.  90-02bP.▼cKaplan,  Randy  M.,    Bennett,  Randy  Elliot▼h[microform]
      ■260    ▼aU.S.;  New  Jersey▼bEducational  Testing  Service,  Princeton,  N.J.▼cJun  94
      ■300    ▼a41;  1
      ■440  0▼aERIC  Reports
      ■500    ▼a41p.
      ■520    ▼aThis  study  explores  the  potential  for  using  a  computer-based  scoring  procedure  for  the  formulating-hypotheses  (F-H)  item.  This  item  type  presents  a  situation  and  asks  the  examinee  to  generate  explanations  for  it.  Each  explanation  is  judged  right  or  wrong,  and  the  number  of  creditable  explanations  is  summed  to  produce  an  item  score.  Scores  were  generated  for  30  examinees  responses  to  each  of  8  items  by  a  semantic  pattern-matching  program  and  independently  by  5  human  raters.  On  its  initial  scoring  run,  the  program  agreed  highly  with  the  raters  mean  item  scores  for  some  questions  and  improved  its  concurrence  substantially  as  modifications  to  the  automatic  scoring  process  were  made.  By  the  final  run,  correlations  between  the  program  and  the  raters  on  item  scores  ranged  from  .89  to  .97,  and  mean  human-machine  discrepancies  ran  from  .6  to  1.1  on  a  16-point  scale.  At  the  individual  hypothesis  level,  the  proportion  agreement,  given  the  large  disproportion  of  correct  responses  in  the  sample,  was  little  better  than  chance.  F-H  items  might  be  more  effectively  scored  by  a  semiautomatic  system  that  combines  machine  processing  with  a  small  number  of  human  judges,  and  a  preliminary  configuration  for  such  a  process  is  presented.  Appendix  A  discusses  scoring  iterations  and  modifications  to  the  tool,  and  Appendix  B  presents  changes  to  the  scoring  tools  interface.  (Contains  5  figures,  9  tables,  and  14  references.)  (AuthorSLD)
      ■533    ▼aMicrofiche.▼bSpringfield,  VA▼cERIC  Document  Reproduction  Service.▼emicrofiches  ;  11×15  cm.
      ■536    ▼aGraduate  Record  Examinations  Board,  Princeton,  N.J.
      ■650  4▼xEducation
      ■653    ▼aAutomation▼aComputer  Assisted  Testing▼aCorrelation▼aHigher  Education▼aHypothesis  Testing▼aResponses▼aScores▼aScoring▼aSemantics▼aTest  Items▼aFree  Response  Test  Items▼aHypothesis  Formulation▼aPattern  Matching
      ■7001  ▼aKaplan,  Randy  M.
      ■7001  ▼aBennett,  Randy  Elliot
      ■999    ▼a142

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