rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: effects of EEG analysis on computer-assisted instruction
  name:
    name part: Jones, Marvin Rex.
    role:
      role term: creator
  name:
    name part: Barnes, Jack A.
    role:
      role term: degree supervisor.
  name:
    name part: Colunga, Daniel
    role:
      role term: degree committee member.
  name:
    name part: McDermott, Make
    role:
      role term: degree committee member.
  name:
    name part: Rhyne, Tom
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: txu
    date issued: 1977
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 128 leaves : illustrations, graphs (some color) ; 28 cm
  abstract: The primary research objective presented in this dissertation is a demonstration of the feasibility of incorporating electroencephalographic monitoring and feedback into a conventional computer-assisted instruction environment. The underlying hypothesis is that the knowledge and appreciation of primitive physiological characteristics observed during certain forms of mental processing can form the basis for programming efforts designed to significantly enhance the effectiveness of automated educational procedures. As an initial effort in this direction, a straightforward anagram solving exercise was organized to detect and encourage a mental posture characterized by brief but concerted concentrations. The difficulty level of each anagram was under strict program control. The subject's electroencephalogram was continually monitored and analyzed, and an indication of his mental posture calculated as a series of parameters. The relative proximity of the subject's mental state parameters to a program-projected parameter set determined the difficulty level of subsequent anagrams. In addition, an indication of mental progress based on this proximity statistic was fed back to the subject as a quiet tone in his headphone set. The subject was encouraged to solve the anagram as quickly as possible while at the same time attempting to keep the feedback tone as low as possible..
  note: by Marvin Rex Jones.
  note: "Major subject: Computing Science."
  note: Vita.
  note: Texas A & M University
  note: Includes bibliographical references (leaves 110-125).
  subject:
    topic: Attention
    topic: Testing
  subject:
    topic: Biofeedback training
  subject:
    topic: Computer-assisted instruction
  subject:
    topic: Electroencephalography
  subject:
    topic: Computing Science
  subject:
    topic: Attention
    topic: Testing
  subject:
    topic: Biofeedback training
  subject:
    topic: Computer-assisted instruction
  subject:
    topic: Electroencephalography
  classification: LB1028.5 .J56
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-628855
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-628855
  record info:
    record content source: TXA
    record creation date: 780919
    record change date: 20220104090423.0
    record identifier: in00000626028
    language of cataloging:
      language term: eng