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Generative Computer Assisted Instruction: An Application of Artificial Intelligence to CAI.

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Title: Generative Computer Assisted Instruction: An Application of Artificial Intelligence to CAI.
Authors: Koffman, Elliot B., Connecticut Univ., Storrs. Dept. of Electrical Engineering.
Peer Reviewed: N
Page Count: 8
Publication Date: 1972
Sponsoring Agency: National Center for Educational Research and Development (DHEW/OE), Washington, DC.
National Science Foundation, Washington, DC. Office of Computing Activities.
Descriptors: Algorithms, Artificial Intelligence, Computer Assisted Instruction, Computers, Problem Solving, Programed Instructional Materials, State of the Art Reviews, Textbooks
Abstract: Frame-oriented computer-assisted instruction (CAI) systems dominate the field, but these mechanized programed texts utilize the computational power of the computer to a minimal degree and are difficult to modify. Newer, generative CAI systems which are supplied with a knowledge of subject matter can generate their own problems and solutions, can provide extensive drill and tutoring, and can diagnose learner problems and prescribe remedial feedback. These systems reduce the amount of instructor effort required to teach new material and encourage students to assume the initiative in studying new topics. Information-Structure Oriented (ISO) systems have capabilities for natural language communication and are useful in the humanities and social sciences. Quantitative systems rely on algorithms and are oriented toward providing students with practice in problem-solving. While the existing generative systems are still experimental it is expected that their use will become more widespread as research continues and as CAI facilities become more available and economical. (PB)
Entry Date: 1973
Accession Number: ED078648
Database: ERIC
FullText Text:
  Availability: 0
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  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED078648
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    Text: Full Text from ERIC
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PreciseRelevancyScore: 0
IllustrationInfo
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  Label: Title
  Group: Ti
  Data: Generative Computer Assisted Instruction: An Application of Artificial Intelligence to CAI.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Koffman%2C+Elliot+B%2E%22">Koffman, Elliot B.</searchLink><br /><searchLink fieldCode="AR" term="%22Connecticut+Univ%2E%2C+Storrs%2E+Dept%2E+of+Electrical+Engineering%2E%22">Connecticut Univ., Storrs. Dept. of Electrical Engineering.</searchLink>
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 8
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1972
– Name: SourceSuprt
  Label: Sponsoring Agency
  Group: SrcSuprt
  Data: National Center for Educational Research and Development (DHEW/OE), Washington, DC.<br />National Science Foundation, Washington, DC. Office of Computing Activities.
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink><br /><searchLink fieldCode="DE" term="%22Programed+Instructional+Materials%22">Programed Instructional Materials</searchLink><br /><searchLink fieldCode="DE" term="%22State+of+the+Art+Reviews%22">State of the Art Reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Textbooks%22">Textbooks</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Frame-oriented computer-assisted instruction (CAI) systems dominate the field, but these mechanized programed texts utilize the computational power of the computer to a minimal degree and are difficult to modify. Newer, generative CAI systems which are supplied with a knowledge of subject matter can generate their own problems and solutions, can provide extensive drill and tutoring, and can diagnose learner problems and prescribe remedial feedback. These systems reduce the amount of instructor effort required to teach new material and encourage students to assume the initiative in studying new topics. Information-Structure Oriented (ISO) systems have capabilities for natural language communication and are useful in the humanities and social sciences. Quantitative systems rely on algorithms and are oriented toward providing students with practice in problem-solving. While the existing generative systems are still experimental it is expected that their use will become more widespread as research continues and as CAI facilities become more available and economical. (PB)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 1973
– Name: AN
  Label: Accession Number
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  Data: ED078648
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED078648
RecordInfo BibRecord:
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      Pagination:
        PageCount: 8
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Computer Assisted Instruction
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Problem Solving
        Type: general
      – SubjectFull: Programed Instructional Materials
        Type: general
      – SubjectFull: State of the Art Reviews
        Type: general
      – SubjectFull: Textbooks
        Type: general
    Titles:
      – TitleFull: Generative Computer Assisted Instruction: An Application of Artificial Intelligence to CAI.
        Type: main
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          Name:
            NameFull: Connecticut Univ., Storrs. Dept. of Electrical Engineering.
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            NameFull: Koffman, Elliot B.
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1972
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