Gender Characteristics and Computational Thinking in Scratch

被引：1
|
作者：
Niousha, Rose [1 ]
Saito, Daisuke [1 ]
Washizaki, Hironori [1 ]
Fukazawa, Yoshiaki [1 ]
机构：
[1] Waseda Univ, Tokyo, Japan
来源：
PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 2, SIGCSE 2023 | 2023年
关键词：
D O I：
10.1145/3545947.3576290
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This study investigates the Computational Thinking skill differences among novice programmers in relation to gender. Block-based visual programming languages such as Scratch particularly benefit K-12 programmers because they learn how to code intuitively. Our study analyzed 124 (62 males, 62 females) Scratch projects on the Scratch website, categorized projects on the basis of each user's gender and project type, and compared their Computational Thinking scores. The results of this study suggest that project types preferred by males require more programming construct reflected in the Computational Thinking score than that of females. Because gender differences appear by project type, project type presumably influences the gender gap in scores.
引用
收藏
页码：1344 / 1344
页数：1
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