Computational thinking and academic achievement: A meta-analysis among students

被引:45
作者
Lei, Hao [1 ]
Chiu, Ming Ming [2 ]
Li, Feng [3 ]
Wang, Xi [3 ]
Geng, Ya-jing [3 ]
机构
[1] East China Normal Univ, Fac Educ, Inst Curriculum & Instruct, Shanghai, Peoples R China
[2] Educ Univ Hong Kong, Dept Special Educ & Counselling, Hong Kong, Peoples R China
[3] East China Normal Univ, Fac Educ, Dept Educ Informat Technol, Shanghai, Peoples R China
关键词
Computational thinking; Academic achievement; Meta-analysis; Students; INTELLIGENCE; CREATIVITY;
D O I
10.1016/j.childyouth.2020.105439
中图分类号
D669 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
1204 ;
摘要
This meta-analysis examines whether greater computational thinking is linked to greater academic achievement among students from 1st graders in primary school to 4th year seniors at university. Results from 34 studies showed that computational thinking and academic achievement were positively correlated (0.288). Moderator analysis showed that this correlation was (a) stronger among students in Eastern cultures than Western cultures; (b) strongest among primary school students, less strong among secondary school students, and weakest among undergraduates; (c) stronger among females than males; and (d) strongest when assessing assignment scores; less strong with GPA, course grade, or tests; and weakest with quizzes. Neither subject content (e.g., math, science) nor sampling strategy (e.g., randomized, convenience) moderated the link between computational thinking and academic achievement. In sum, the positive link between computational thinking and academic achievement is moderated by culture, grade, achievement indicators, and gender.
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页数:8
相关论文
共 51 条
[1]  
Alyahya D., 2019, Issues and Trends in Educational Technology, V7, DOI [10.2458/azuitetv7i1alyahya, DOI 10.2458/AZU_ITET_V7I1_ALYAHYA]
[2]  
Ambrosio A P., 2014, Exploring core cognitive skills of Computational Thinking
[3]  
[Anonymous], 2001, PRACTICAL META ANAL
[4]   Gender differences in formal, non-formal and informal adult learning [J].
Boeren, Ellen .
STUDIES IN CONTINUING EDUCATION, 2011, 33 (03) :333-346
[5]  
Borenstein M., 2005, COMPREHENSIVE META A
[6]   Gender and attitudes toward technology use: A meta-analysis [J].
Cai, Zhihui ;
Fan, Xitao ;
Du, Jianxia .
COMPUTERS & EDUCATION, 2017, 105 :1-13
[7]  
Ceylan VK., 2017, J HUMAN SCI, V14, P308, DOI DOI 10.14687/JHS.V14I1.4141
[8]  
Chongo S., 2020, SCI ED INT, V31, P159, DOI [https://doi.org/10.33828/sei.v31.i2.4, DOI 10.33828/SEI.V31.I2.4]
[9]   Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance [J].
Tenzin Doleck ;
Paul Bazelais ;
David John Lemay ;
Anoop Saxena ;
Ram B. Basnet .
Journal of Computers in Education, 2017, 4 (4) :355-369
[10]   Analysis of the relation between computational thinking skills and various variables with the structural equation model [J].
Durak, Hatice Yildiz ;
Saritepeci, Mustafa .
COMPUTERS & EDUCATION, 2018, 116 :191-202