DocumentCode :
713525
Title :
Computational Thinking Curriculum for K-12 Education -- A Delphi Survey
Author :
Hui-Chi Chuang ; Chiu-Fan Hu ; Cheng-Chih Wu ; Yu-Tzu Lin
Author_Institution :
Grad. Inst. of Inf. & Comput. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan
fYear :
2015
fDate :
9-12 April 2015
Firstpage :
213
Lastpage :
214
Abstract :
The purpose of this study is to design a computational thinking curriculum standard for K-12 education. The Delphi technique was employed to collect different views and derive consensus from a panel of thirteen experts, including computer scientists, computer science educators, K-12 computer teachers, and industry experts. The first draft of Delphi survey questionnaire, consisting of nine themes (problem solving, problem decomposition, algorithms, data representation, data analysis, modeling and simulation, abstraction, automation, and others) and 60 competence indicators, was developed based on our investigation of the nature of computational thinking. After three rounds of survey and a final round-table discussion, the expert panel derived 49 essential competence indicators (13 for grades K to 6, nine for grades 7 to 9 and 27 of grades 10 to 12) and eight optional competence indicators (one for grades 7 to 9 and seven for grades 10 to 12). According to the results, the core ability and training of computational thinking are different in grades. In grades K to 6, students develop logical thinking and problem solving skills in personal and family life. In grades 7 to 9, students must understand the basic concepts of programming and write basic programs. Finally, in grades 10 to 12, they will use high-level skills to apply the concepts of abstraction, modeling, and structured problem decomposition to solve problems in different fields. The results serve as useful references for developing Taiwan´s new K-12 computing curriculum.
Keywords :
computer science education; educational institutions; forecasting theory; CT; Delphi technique; K-12 computer teachers; K-12 education; Taiwan K-12 computing curriculum; abstraction concept; algorithm concepts; automation concepts; competence indicators; computational thinking curriculum; computer science educators; computer scientists; data analysis; data representation; high-level skills; industry experts; logical thinking; modeling-and-simulation concepts; problem decomposition; problem solving skills; program writing; programming concepts; structured problem decomposition; Analytical models; Computational modeling; Computer science; Computers; Data models; Education; Standards; Computational Thinking; Computing Curriculum; Delphi Survey; K-12 education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Learning and Teaching in Computing and Engineering (LaTiCE), 2015 International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/LaTiCE.2015.44
Filename :
7126261
Link To Document :
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