Exploring Computational Thinking Perspectives in Black Communities with Physiological Computing

被引:0
|
作者
Lewis, Myles [1 ]
Holloman, Amanda [2 ]
Cuevas, Bryan Y. Hernandez [3 ]
Crawford, Chris [1 ]
机构
[1] Univ Alabama, Dept Comp Sci, Tuscaloosa, AL 35487 USA
[2] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL USA
[3] Univ Puerto Rico, Dept Comp Sci, Arecibo, PR USA
关键词
computer science education; physiological computing; data science; k-12; PERFORMANCE; ATTENTION;
D O I
10.1109/BICE60192.2024.00013
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Physiological computing (PC) technology is becoming increasingly popular as wearable hardware improves. However, little is known regarding potential connections between hands-on experience with physiological computing technology and computation thinking perspectives. This is particularly true for black communities. Applications for physiological computing include systems such as wearable technology (e.g., Apple Watch) capable of mapping students' physiological activity to various outputs. The work discussed in this paper presents our initial steps toward filling these gaps. In particular, we share our observations of computational thinking perspectives that emerged while black high school students constructed simple programs driven by near real-time brain wave information. Our findings suggest interactive physiological data may lead to unique computational perspectives during learning activities.
引用
收藏
页码:27 / 32
页数:6
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