| Literature DB >> 32846096 |
Nalini M Nadkarni1, Daniella Scalice2, Jeremy S Morris3, Joslyn R Trivett4, Kelli Bush4, Allison Anholt1, Joshua J Horns1, Bradford T Davey5, Hilarie B Davis5.
Abstract
The incarcerated population has little or no access to science education programs, STEM resources, or scientists. We explored the effects of a low-cost, potentially high-impact informal science education program that enabled NASA scientists to provide astrobiology lectures to adults inside 16 correctional institutions in three states. Post- versus pre-lecture surveys suggest that presentations significantly increased science content knowledge, positively shifted attitudes about science and scientists, increased a sense of science self-identity, and enhanced behavioral intentions about communicating science. These were significant across ethnicity, gender, education level, and institution type, size, location, and state. Men scored higher than women on pre-lecture survey questions. Among men, participants with greater levels of education and White non-Hispanics scored higher than those with less educational attainment and African American and other minority participants. Increases in science content knowledge were greater for women than men and, among men, for those with lower levels of education and African American participants. Women increased more in science identity than did men. Thus, even limited exposure to voluntary, non-credit science lectures delivered by scientists can be an effective way to broker a relationship to science for this underserved public group and can potentially serve as a step to broaden participation in science.Entities:
Keywords: Astrobiology education; Correctional education; Incarceration; NASA. Astrobiology 20, 1262–1271; Public engagement of science
Year: 2020 PMID: 32846096 PMCID: PMC7591373 DOI: 10.1089/ast.2019.2209
Source DB: PubMed Journal: Astrobiology ISSN: 1557-8070 Impact factor: 4.335
FIG. 1.Means of lecture survey data before (Pre) and after (Post) astrobiology presentations. (A) Astrobiology content questions answered correctly (out of 7). (B) Factor scores from survey question constructs. Error bars represent ±1 standard deviation. *Indicates significant increase (p < 0.05) from pre-lecture to post-lecture (GLMM or LMM).
Significant Differences in Survey Scores among Demographic Variables
| Survey category or construct | Gender | Education level | Ethnic background | Institution state |
|---|---|---|---|---|
| Science Content Knowledge questions | ||||
| Pre-survey scores | ♂ > ♀ | HS+ > HS > HS- | W > B, M | WA > FL |
| Increase from pre- to post-survey | ♀ > ♂ | HS- > HS+ | B > W | |
| Science Identity construct scores | ||||
| Pre-survey scores | HS+ > HS, HS- | OH > FL, WA | ||
| Increase from pre- to post-survey | ♀ > ♂ | |||
| Value of Science construct scores | OH > FL | |||
| Pre-survey scores | HS+ > HS, HS- | |||
| Increase from pre- to post-survey | ||||
| Future Actions construct scores | ||||
| Pre-survey scores | OH, WA > FL | |||
| Increase from pre- to post-survey |
GLMM and LMM analyses were used to compare data from demographic groups using factor scores for each survey construct. For gender, we compare self-identified men (♂) and women (♀). For ethnic background, we compare White, non-Hispanic (W); African American (B); and other minority groups (M) pooled. For education level, we compare those that have attained a GED or high school diploma (HS), those with less education (HS-), and those with more education (HS+). Differences shown only if significant (p < .05) using GLMM or LMM. See the Supplementary Material for full read-out of analyses.