TY - GEN
T1 - A Quasi-Experimental Study of the Introduction of Machine Learning Concepts to a High School Age Audience as Part of a Mentored Scientific Research Program
AU - Moore, Katherine S.
AU - Ali, Safinah
AU - Lee, Irene
AU - Weckel, Mark
AU - Gupta, Preeti
AU - Rabinowitz, Gabrielle
AU - Chaffee, Rachel
N1 - Publisher Copyright:
© ISLS.
PY - 2024
Y1 - 2024
N2 - As Machine Learning (ML), a branch of Artificial Intelligence (AI), proliferates across society, youth need to learn basic fundamentals of this new technology. Furthermore, the field of AI reflects the persistent lack of diversity seen in broader STEM fields, which may impact historically underrepresented groups pursuing these fields. In response, we created an ML-embedded, out-of-school-time program for high school age students focused on scientific inquiry, constructed through a justice-lens. This paper reports findings from a repeated measures study of 35 youth (82% from underrepresented groups in STEM) introduced to ML concepts through a 4-week Institute followed by an academic-year-long research internship with a mentor-scientist. Student learning outcomes were measured using a new ML concept inventory. Findings suggest ML knowledge increased after the Institute and persisted 9 months afterwards for those participating in mentored research.
AB - As Machine Learning (ML), a branch of Artificial Intelligence (AI), proliferates across society, youth need to learn basic fundamentals of this new technology. Furthermore, the field of AI reflects the persistent lack of diversity seen in broader STEM fields, which may impact historically underrepresented groups pursuing these fields. In response, we created an ML-embedded, out-of-school-time program for high school age students focused on scientific inquiry, constructed through a justice-lens. This paper reports findings from a repeated measures study of 35 youth (82% from underrepresented groups in STEM) introduced to ML concepts through a 4-week Institute followed by an academic-year-long research internship with a mentor-scientist. Student learning outcomes were measured using a new ML concept inventory. Findings suggest ML knowledge increased after the Institute and persisted 9 months afterwards for those participating in mentored research.
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UR - http://www.scopus.com/inward/citedby.url?scp=105005827200&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:105005827200
T3 - Computer-Supported Collaborative Learning Conference, CSCL
SP - 2321
EP - 2322
BT - ISLS Annual Meeting 2024
A2 - Lindgren, Robb
A2 - Asino, Tutaleni
A2 - Kyza, Eleni A.
A2 - Looi, Chee-Kit
A2 - Keifert, D. Teo
A2 - Suarez, Enrique
PB - International Society of the Learning Sciences (ISLS)
T2 - 18th International Conference of the Learning Sciences, ICLS 2024
Y2 - 10 June 2024 through 14 June 2024
ER -