This empirical full paper reports the results of statistical analyses from a large mixed-methods evaluation study examining the learning outcomes of diverse students participating in a multi-institutional summer engineering enrichment program. The summer camp program was jointly implemented by a Predominantly White Institution (PWI) and a Historically Black College and University (HBCU). The study utilizes post–summer camp survey data collected from 140 middle and high school students during the 2023 and 2024 program cycles. The survey included self-reported learning outcome measures theoretically grounded in Bloom’s Taxonomy, Cognitive, Affective, and Psychomotor [1] [2], to assess students’ perceived gain in knowledge, motivation, and hands-on skill development resulting from the summer camp activities, as well as other instruments for students’ camp experiences and STEM career interests. By employing a Latent Profile Analysis (LPA) combined with multinomial logistic regression, we identified distinct subgroups of camp participants based on students’ self-reported learning outcomes and heterogeneity in their camp experiences. Our analytic outcomes elucidate how varying levels of engagement, motivation, and experiential quality shape the learning trajectories of different student subgroups, challenging the common assumption of a homogeneous student population in summer enrichment curriculum development and implementation.
http://orcid.org/0000-0001-8167-1866
University of North Carolina at Charlotte
[biography]
http://orcid.org/0000-0003-2778-5349
University of Tennessee, Space Institute
[biography]
The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026