S. P. O. T.
S. P. O. T.
A hybrid role-playing game for elementary/middle school students to engage in Critical Computing
A hybrid role-playing game for elementary/middle school students to engage in Critical Computing

In S.P.O.T, learners interact with machine learning within real-life sociopolitical contexts and examine how ML predictions impact their daily lives and communities. Through the immersion of stories that mirror children’s lived experiences, S.P.O.T. provides elementary school aged children with opportunities to learn how machine learning applications function and develop children’s abilities to critically examine, question, and reimagine the consequences of ML decisions in the real world.
In S.P.O.T, learners interact with machine learning within real-life sociopolitical contexts and examine how ML predictions impact their daily lives and communities. Through the immersion of stories that mirror children’s lived experiences, S.P.O.T. provides elementary school aged children with opportunities to learn how machine learning applications function and develop children’s abilities to critically examine, question, and reimagine the consequences of ML decisions in the real world.

This work is funded in part by the National Science Foundation (ECR-2024965, DRL-2031175, DRL-2238712), Spencer Foundation (#202600048), Peabody College at Vanderbilt University. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.

This work is funded in part by the National Science Foundation (ECR-2024965, DRL-2031175, DRL-2238712), Spencer Foundation (#202600048), Peabody College at Vanderbilt University. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.

