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Wisdom quotient as a basic index of human cognitive categories and wisdom attributes

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Various understanding of human wisdom is discussed, from common-sense approaches through cognitive considerations to scientific analysis. The main cognitive levels are considered such as: filtering the available information about the appearing situation, comprehensive assessment of the situation, awareness of the consequences about the existing situation and reaction to the existing situation. The basic set of essential a4ributes like knowledge, skills, and inspirations are also analyzed. Based on these considerations some relations between cognitive levels and wisdom atributes are presented. It leads to a definition of the wisdom quotient which is a representative measure of human wisdom behaviors. Some representative cases of such behavior are specified and discussed as human attitudes. It is also shown how computer science approaches can support calculation of some wisdom indexes and, in consequence, allow understanding human wisdom.
Rocznik
Strony
48--74
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
  • Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80–233 Gdansk, Poland
  • Western Michigan University, 1903 W Michigan Ave, Kalamazoo, MI 49008, USA
Bibliografia
  • 1. Clayton V 1982 Wisdom and Intelligence. The Nature and Function of Knowledge in the Later Years Journal of Aging and Human Development 15pp. 315-323.
  • 2. Baltes P and Mayer KU 1999 The Berlin aging study: Aging from 70 to 100; a research project of the Berlin-Brandenburg Academy of Sciences New York Cambridge University Press
  • 3. Ardelt M 2004 Wisdom as expert knowledge system: A critical review of a contemporary operationalization of an ancient concept Human Development 47 (5) pp. 257-285.
  • 4. Sternberg R 1999 Wisdom: Its nature, origins, and development Cambridge University Press
  • 5. Hall S The older-and-wiser hypothesis 2007 The New York Times Magazine
  • 6 pp. 58-66.6. Maxwell N 2012 The Menance of Science without civilization: From Knowledge to Wisdom DIALOGUE AND UNIVERSALIMS XXII 3 (41)
  • 7. Kahneman D 2011 Thinking, Fast and SlowFarrar, Straus and Giroux
  • 8. Targowski A 2011 Cognitive Informatics and Wisdom Development IGI Global
  • 9. Sainsbury R 2003 ParadoxesCambridge University Press
  • 10. Beall B J, Glanzberg M and Ripley D 2017 The liar paradox
  • 11. Smilansky S 2007 10 Moral Paradoxes by Saul Smilansky Blackwell Publishing
  • 12. Targowski A 2013 Harnessing the power of wisdom Nova Science Publishers
  • 13. Krawczyk H and Targowski A 2019 Wisdom in the Context of Globalization and Civilization Scholars Publishing
  • 14. Stewart T 2007 The wealth of knowledge: Intellectual capital and the twenty-first century organization Doubleday
  • 15. Bruni L, Comin F and Pugno M 2008 Capabilities and happiness Oxford University Press
  • 16. Putti J 2013 Searching for inspiration Trafford Publishing
  • 17. Bloom B, Engelhart M, Furst E, Hill W and Krathwohl D. 1956 Taxonomy of Educational Objectives Handbook I: The Cognitive Domain David McKay Co. Inc.
  • 18. Widrow B and Aragon J 2013 Cognitive memory Neural Networks 41 pp. 3-14
  • 19. Kitchener K 1983 Cognition, metacognition and epistemic cognition. A tree-level model of cognitive processing Human Development 26 (4) pp. 222-232
  • 20. Minsky M 1986 The society of mind Touchstone Books
  • 21. Feng X, Zheng Q and Chen P 2016 Research on the evaluation model of online cognitive level from the perspective of learning analytics J Dist. Educ 34pp. 39–45
  • 22. Ullah Z, Lajis A, Jamjoom M, Altalhi A and Saleem F 2019 A rule-based method for cognitive competency assessment in computer programming using bloom’s taxonomy IEEE Access 7 pp. 64663–64675.
  • 23. Chen D. Zhan Y and Yang B 2019 Analysis of applications of deep learning in educational big data mining E-educ.Res. 40 pp. 68 –76.
  • 24. Cheng Y, Cai Y, Chen H, Cai Z, Wu G and Huang J 2021 A Cognitive Level Evaluation Method Based on a Deep Neural Network for Online Learning: From a Bloom’s Taxonomy of Cognition Objectives Perspective Frontiers in Psychology R. Cambridge University Press
  • 25. Mackintosh N 2011 IQ and human intelligence Oxford University Press
  • 26. Sternberg R J 2000 Handbook of intelligence Cambridge University Press
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bff68a7d-772b-419c-b73a-6c5aa64fa8bb
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