Data science education is still new to young learners within schools. Based on the increasing call from local districts and states, we developed a sports and data science unit for a 5th grade computer science course. The inclusion of sports resonates with goals to broaden participation in computing fields by highlighting how this knowledge can be applied to the real world beyond classrooms. We implemented SportSense for Data Literacy, which is an 8 week sports and data curriculum for 5th grade students to learn and practice data processes for collecting and interpreting their personal physical movement. This paper covers SportSense’s motivation and goals, and we described how this curriculum met these metrics in our implementation across 32 schools in the spring of 2025.

Thu 19 Feb

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13:40 - 15:00
Rethinking Data Learning: From Databases to DodgeballsPapers at Meeting Room 103-104
Chair(s): Christopher Moretti Princeton University, USA
13:40
20m
Talk
Clause-Driven Automated Grading of SQL’s DDL and DML StatementsGlobal
Papers
Benard Wanjiru Radboud University Nijmegen, Patrick van Bommel Radboud University Nijmegen, Djoerd Hiemstra Radboud University Nijmegen
14:00
20m
Talk
Integrating Hands-On Data Collection Experience in an Introductory Programming Class for Non-CS MajorsK12
Papers
Shuyin Jiao North Carolina State University, Warren Jasper North Carolina State University
14:20
20m
Talk
Reflecting on Thematic Analysis in Computer Science Education Research: A Field Guide for Researchers and ReviewersPCI Best Paper
Papers
Aadarsh Padiyath University of Michigan, Tamara Nelson-Fromm
14:40
20m
Talk
SportSense for Data Literacy: Applying Sports and Movement for Authentic and Personal Data Interactions in Elementary SchoolsK12
Papers
Ashley Quiterio Northwestern University, Megan Butler Northwestern University, Arianna Montas Northwestern University, Sara Bouftas Northwestern University, Marcelo Worsley Northwestern University