• DocumentCode
    1740287
  • Title

    Measuring the intellectual development of students using intelligent assessment software

  • Author

    Olds, Barbara M. ; Miller, Ronald L. ; Pavelich, Michael J.

  • Author_Institution
    Liberal Arts & Int. Studies Dept., Colorado Sch. of Mines, Golden, CO, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Abstract
    Most methods currently available to measure intellectual development in college students are either unreliable or prohibitively expensive and time consuming. To circumvent these difficulties, we have developed Cogito, a software package which used a neural network to find patterns in “noisy” paper-and-pencil data and relate them to the Perry or Reflective Judgment models of intellectual development. If we are successful, Cogito will provide an inexpensive and reliable alternative to current interview or paper-and-pencil tests. Our work to date shows a high correlation between interview and Cogito results
  • Keywords
    educational administrative data processing; neural nets; teaching; Cogito; Reflective Judgment models; college students; intellectual development; intelligent assessment software; neural network; noisy paper-and-pencil data; paper-and-pencil tests; software package; students; Current measurement; Educational institutions; Instruments; Knowledge engineering; Neural networks; Position measurement; Reliability engineering; Software measurement; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference, 2000. FIE 2000. 30th Annual
  • Conference_Location
    Kansas City, MO
  • ISSN
    0190-5848
  • Print_ISBN
    0-7803-6424-4
  • Type

    conf

  • DOI
    10.1109/FIE.2000.896559
  • Filename
    896559