Comparing 2 Years of Empowering Families to Solve Real-World Problems with AI

被引:0
|
作者
Chklovski, Tara [1 ]
Jung, Richard [1 ]
Anderson, Rebecca [1 ]
Young, Kathryn [1 ]
机构
[1] Technovation, Los Angeles, CA 90007 USA
来源
KUNSTLICHE INTELLIGENZ | 2021年 / 35卷 / 02期
关键词
Under-resourced families; Mentoring; AI-ethics curriculum;
D O I
10.1007/s13218-021-00738-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Over the course of 2 years a global technology education nonprofit engaged similar to 20,000 under-resourced 3rd-8th grade students, parents and educators from 13 countries in a multi-week AI competition. Families worked together with the help of educators to identify meaningful problems in their communities and developed AI-prototypes to address them. Key findings included: (1) Identifying a high level of interest in underserved communities to develop and apply AI-literacy skills; (2) Determining curricular and program implementation elements that enable families to apply AI knowledge and skills to real problems; (3) Identifying effective methods of engaging industry mentors to support participants; (4) Measuring and identifying changes in self-efficacy and ability to apply AI-based tools to real-world problems; (5) Determining effective curricula around value-sensitive design and ethical innovation.
引用
收藏
页码:207 / 219
页数:13
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