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Problems and solutions for cultivating innovation talents who have computational thinking quality

Zhang Jiemin, Lu Fangda


Computational thinking involves the essences of computer science, and theoretical thinking and experimental thinking are consisting with scientific thinking architecture, is the cognition of primary quality of innovating talents. At present, “computer instrumentalization” and “computer professionalization” problems exist on computational thinking education. This paper analyzes the cause of the problem, point out ways to solve problems is embodying the essences of calculation thought in computational thinking education, suggests that based on the computer knowledge system, extract the feature point of computational thinking, construct computational thinking tree. As a result, convert it from instrument oriented education, knowledge oriented education, to computational thinking education, convert it from skill-based, ability-based to innovationbased education. Moreover, through concrete examples show the process of conversion.


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  • CASS
  • Google Scholar
  • Ouvrir la porte J
  • Infrastructure nationale du savoir de Chine (CNKI)
  • CiterFactor
  • Cosmos SI
  • Répertoire d’indexation des revues de recherche (DRJI)
  • Laboratoires secrets des moteurs de recherche
  • Facteur d’impact des articles scientifiques (SAJI))
  • ICMJE

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