• DocumentCode
    447294
  • Title

    Biofunctional learning and performance

  • Author

    Iran-Nejad, Asghar ; Homaifar, Abdollah

  • Author_Institution
    Educational Psychol., Alabama Univ., Tuscaloosa, AL, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    10-12 Oct. 2005
  • Firstpage
    411
  • Abstract
    The first generation of learning scientists were behavioral psychologists, who pioneered the field in the first half of the 20th Century. Today, behavioral learning theory continues to enjoy a strong following even though its mainstream position was taken up by the second generation of learning researchers, namely cognitive psychologists. During the cognitive era, interest in the scientific study of learning spread to engineering and computer science with an almost exclusive focus on knowledge acquisition as the symbolic internalization of soft representations. Learning beyond soft knowledge, qualitative learning, and learning as multiple-source organizing were left up to the third generation of learning scientists - namely, biofunctionalists - who crossed the threshold of the 21st Century in dim popularity, mainly because of their counterintuitive definition of learning as whole theme reorganization of the learner´s own intuitive knowledge base. This paper examines the three pioneering shifts in the science of learning with a focus on the nature of their landmark transitions.
  • Keywords
    behavioural sciences; knowledge acquisition; behavioral learning theory; behavioral psychologist; biofunctional learning; cognitive psychologist; dynamic self-regulation; knowledge acquisition; learning spread; multiple-source organizing systems; nonlinear learning; qualitative learning; soft representations; symbolic internalization; Computer science; Control systems; Genetic algorithms; Genetic engineering; Knowledge acquisition; Knowledge engineering; Knowledge representation; Organizing; Physics computing; Psychology; Biofunctional science; Dynamic Self-Regulation; Multiple-Source Organizing Systems; Non-linear Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9298-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2005.1571181
  • Filename
    1571181