The Lewis H. Latimer House Museum will develop a more cohesive education program that reflects both the museum's resources and the needs of local schools. The museum's deputy director and Tinkering Lab educator will work together to design a curriculum that meets current New York State and city standards, enabling the museum to more effectively serve schools in the community with object-based learning experiences. Packets of educational materials will be developed and made available for school teachers to download and use in their classrooms prior to and following visits to the museum. Target schools will be actively involved in the process of testing and utilizing the products. Project results will be shared with internal and external stakeholders to sustain long-term improvement and enhance institutional capacity.
Black Girls Create (BGC) is a program that uses maker pedagogy, social history (i.e., Black women’s contributions in STEM), culturally responsive pedagogy, and mentoring to engage Black girls in STEM. For the project, culturally responsive making is operationally defined as the use of cultural knowledge and maker technologies to create, design, and produce artifacts that are related to a particular concept, theme, or person. The project will conduct a feasibility research study that investigates how engagement in BGC affects participants' STEM interest, STEM confidence, and racial and gender identities. In the project, participants will discover how Black women have made an impact in STEM fields and will learn how to digitally create cultural artifacts/wearable art related to their discoveries. Approximately 120 middle school girls in grades 6-8 (8 groups of 15 participants each) from underserved neighborhoods will be recruited for participation in this two-year study. Each group will meet for 3 hours per week over an 8-week period. Instructional materials from this research will be made freely available online so that they can be adapted and used at other formal and informal educational institutions that seek to garner interest and access to STEM learning for Black girls and women.
A pre- and post-test, quasi-experimental design will be used to research the program’s influence on participants’ self-efficacy, racial identity, and gender identity. Lagged regression models that control for students’ age, race/ethnicity, and pre-survey scores will be used to examine growth in each of the four outcomes. Once all of the participants in the groups have completed BGC, data from all groups will be combined to increase power and thereby detect statistically meaningful differences in pre- and post-survey scores. In addition, variables representing attendance and program engagement will be entered into the model to examine whether students who are highly engaged in BGC programming exhibit more growth in the four outcomes. Qualitative data will be derived from students' journal entries as well as focus group interviews. Weekly journals will be used to gather data about the context and experiences of participants as they unfold throughout the program. Semi-structured focus groups will center around the usefulness of skills and knowledge gained from the program activities, significant experiences with peers and program staff, the opportunity to learn about Black women STEM progenitors, and learning how to make digitally fabricated artifacts. NVIVO, a computer software program, will be used as a tool to support the analysis of the rich, text-based information resulting from the journals and focus group narratives.
This feasibilty research project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.
This NSF INCLUDES Design and Development Launch Pilot (named ALCSE-INCLUDES) project will develop and implement an innovative computer science (CS) education model that will provide all 8th grade students in 3 districts in Alabama's 'Black Belt' with exciting and structured hands-on activities intended to make CS learning enjoyable. The course will use an educational style called "learning CS by making" where students will create a CS-based product (such as a robot) and understand the concepts that make the product work. This hands-on approach has the potential to motivate diverse student populations to pursue higher level CS courses and related disciplines during and after high school, and to join the CS workforce, which is currently in need of more qualified workers.
ALCSE-INCLUDES Launch Pilot will unite the efforts of higher education institutions, K-12 officials, Computer Science (CS)-related industry, and community organizations to pursue a common agenda: To develop, implement, study, and evaluate a scalable and sustainable prototype for CS education at the middle school level in the Alabama Black Belt (ABB) region. The ABB is a region with a large African-American, low-income population; thus, the program will target individuals who have traditionally had little access to CS education. The prototype for CS education will be piloted with 8th grade students in 3 ABB schools, using a set of coordinated and mutually reinforcing activities that will draw from the strengths of all members of the ALCSE Alliance. The future scaled-up version of the program will implement the prototype in the 73 middle schools that comprise ALL 19 school districts of the ABB. The program's main innovation is to provide CS education using a makerspace, a dedicated area equipped with grade-appropriate CS resources, in which students receive mentored and structured hands-on activities. The goal is to engage ALL students, in learning CS through making, an evidence-based pedagogical approach expected to reinforce skills and promote deep interest in CS.
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TEAM MEMBERS:
Shaik JeelaniBruce CrawfordMohammed QaziJeffrey GrayJacqueline Brooks