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Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data reported by a nationally representative sample of college students (N= 15,579). Results show that childhood participation in specific typologies of ISLEs (i.e., setting and activity type) is associated with youth's disciplinary interests at the end of high school. Participation in outdoor activities that invite observation is more often reported by female respondents and is negatively associated with interest in computing and mathematics. Participation in indoor activities that invite object manipulation is more often reported by male respondents and is positively associated with interest in computing and engineering. However, frequent participation in multiple ISLEs is positively associated with interest in “science.” These results elucidate stereotypical discourses that reinforce the exclusion of minoritized students and expose critical areas needing reform.

Strong spatial skills are foundational in predicting students' performance in science, technology, engineering, and mathematics education. Decades of research have considered the relationship between thinking spatially and how scientists reason and solve problems. However, few studies have examined the factors that influence improvement in students' spatial thinking during their school science curricula. The present study investigates theThinkSpacecurricula—two middle school astronomy units designed to support students' ability to apply the spatial skill of perspective‐taking (PT) while learning to explain lunar phases (3 days) and the seasons (8 days). U.S. students in 6th and 8th grades (N = 877) across four districts participated in the study, completing assessments before and after theThinkSpacecurricula, along with an additional group of students in 6th and 7th grades (N = 172) who participated as a spatial control group. Data collection included multiple‐choice content assessments, PT skill assessments, and interviews (from a sub‐sample of 96 students), before and after instruction. After participating inThinkSpacecurricula, students demonstrated improved spatial thinking within the domain of astronomy, as measured by improved written content assessments, increased application of PT during conceptual interviews, and a general measurement of PT skill. Higher initial PT skill and higher gain in PT skill predicted greater improvement in students' astronomy understanding, even when accounting for their initial content knowledge. AlthoughThinkSpacestudents in all demographic groups improved PT skill post‐instruction, 8th graders (who were in districts with lower SES), and females were predicted to have smaller gains in their PT skill than the 6th graders (who were in districts with higher SES) and male students. These findings suggest that middle school students' spatial thinking in science can be improved during their middle school science curricula, but questions remain concerning how to reduce spatial‐learning gaps that are associated with gender and possibly SES.

Massive Online Open Courses (MOOCs) provide opportunities to learn a vast range of subjects. Because MOOCs are open to anyone with computer access and rarely have prerequisite requirements, the range of student backgrounds can be far more varied than in conventional classroom‐based courses. Prior studies have shown that misconceptions have a huge impact on students' learning performance; however, no study has empirically examined the relationship between misconceptions and learning persistence. This study of 12,913 MOOC‐takers examines how students' misconceptions about the upcoming course material affect course completion. Using a survival analysis approach, we found that, controlling for the score in a pre‐course test, students holding more misconceptions had a higher dropout rate at the start of the course, an effect that diminished over time. Other student variables were found to have a positive impact on survival that persisted throughout the entire course: U.S. location, higher age, an intention to complete, better English skills, prior familiarity with the subject, motivation to earn a certificate, and score and time spent on the previous problem set (homework). By contrast, student gender, education level, number of previous MOOCs completed, and motivation to participate in online discussion forums did not affect survival.

Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students' course retention. In applying survival analysis to a sample of more than 20,000 participants from one popular computer science MOOC, we found that students' precomputational thinking skills and their perseverance in assignment submission strongly predict their persistence in the MOOC. Moreover, we discovered that precomputational thinking skills, programming experience, and gender, which were previously considered to be constant predictors of students' retention, have effects that attenuate over the course milestones. This finding suggests that MOOC educators should take a growth perspective towards students' persistence: As students overcome the initial hurdles, their resilience grows stronger.

Insufficient student interest in science, technology, engineering, and mathematics (STEM) careers has been identified as a pressing issue by educators and education policy makers. This retrospective cohort study examined one promising approach to reach and inspire students early on: college‐ and university‐ run high school STEM summer programs. Data were collected from 27 colleges and universities participating in the National Science Foundation's STEM Talent Expansion Program. We examined the impact of high school STEM summer program participation on end of high school career aspirations among a sample of 845 program participants and 15,002 controls. The study employed logistic regression modeling with propensity weighting to address differences in group characteristics to model the impact of programs. Results showed that students who participated in a program had 1.4 times the odds of wanting to pursue a STEM career, controlling for background characteristics. A closer look at program design revealed that students experiencing the real‐world relevance of STEM had 1.8 times the odds of aspiring to STEM careers at the end of high school compared with controls. Findings suggest that scaling up STEM summer programs and carefully designing programs to show the real‐life relevance of STEM may be an effective strategy to curtail pipeline attrition and to inspire more students to pursue STEM careers.