This article presents tactile drafting techniques developed in collaboration with blind educators and students that have the potential to increase BLV students’ access to drafting and engineering graphic curriculum in K-12 and higher education.
DATE:
TEAM MEMBERS:
Wade GoodridgeNatalie ShaheenScott BartholomewAnn Cunningham
resourceresearchMuseum and Science Center Exhibits
The impetus behind this effort was to create a platform for initial support to TEE professionals who may have a blind and low-vision (BLV) student in their courses. Specific examples, instructions, and applications for many of the commonly-used tools and techniques are included here as part of this overall effort to teach TEE concepts through socially relevant contexts by adapting older methods to facilitate new opportunities in our school systems for BLV youth.
DATE:
TEAM MEMBERS:
Scott Bartholomew Wade GoodridgeNatalie ShaheenAnne Cunningham
We used a youth focused wild berry monitoring program that spanned urban and rural Alaska to test this method across diverse age levels and learning settings.
DATE:
TEAM MEMBERS:
Katie SpellmanDouglas CostChristine Villano
The project team published a research synopsis article with Futurum Science Careers in Feb 2023 called “How Can Place Attachment Improve Scientific Literacy?”
Stark inequities evident in the low representation of Black women in Science, Technology, Engineering, Mathematics, and Medicine (STEMM) careers persist despite considerable investment in the diversification of the education-to-workplace STEMM pipeline. College participation rates of Black women measure 4-5% of all degrees in biological and physical sciences, 2-3% of degrees in computer science and math, and roughly 1% in engineering. Ultimately, Black women make up only 2.5% of the workforce in STEMM-related fields, indicating that they chronically experience stalled professional advancement. Because there are so few longitudinal studies in either formal or informal settings, educators and researchers lack critical insights into why BA/BS credentialed Black women drop out of STEMM careers at high rates upon entering the workforce. This Research in Service to Practice project will conduct a longitudinal examination of key professional outcomes and life trajectories among adult Black women who enrolled Women in Natural Sciences (WINS), a 40-year-old out-of-school time (OST) high school STEM enrichment program. Prior research on WINS documents that alumnae outperform national averages on all metrics related to STEMM advancement up through college graduation. This study will test the hypothesis that such success continues for these cohorts as they pursue life goals and navigate the workforce. Findings from this study will promote the progress of science, pivotal to NSF’s mission as the project builds knowledge about supportive and frustrating factors for Black women in STEMM careers. Strategic impact lies in the novel participant-centered research methods that amplify Black women’s voices and increase both accuracy and equity in informal STEM learning research.
This research probes the experiences of Black women at a critical phase of their workforce participation when BS/BA credentialed WINS alumnae establish their careers (ages 26-46). The team will conduct a longitudinal comparative case study of outcomes and life trajectories among 20 years of WINS cohorts (1995-2015). Research questions include (1) What do the life-journey narratives of WINS alumnae in adulthood reveal about influential factors in the socio-cultural ecological systems of Black women in STEMM? (2) What are the long-term outcomes among WINS women regarding education, STEMM and other careers, socio-economic status, and STEMM self-efficacy and interest? How do these vary? (3) What salient program elements in WINS are highlighted in alumnae narratives as relevant to Black women’s experiences in adulthood? How do these associations vary? (4) How do selected outcomes (stated in RQ2) and life story narratives among non-enrolled applicants compare to program alumnae? and (5) How do salient components in the WINS program associate with socio-cultural factors in regard to Black women’s careers and other life goals? Participants include 100 Black WINS alumnae as an intervention group and a matched comparison group of 100 Black women who successfully applied to the WINS program but did not or could not enroll. Measurable life outcomes and life trajectory narratives with maps of experiences from both groups will be studied via a convergent mixed methods design inclusive of quantitative and qualitative analyses. Comparisons of outcomes and trajectories will be made between the study groups. Further, associations between alumnae’s long-term outcomes and how they correlate their WINS experiences with other socio-cultural factors in their lives will be identified. It is anticipated that findings will challenge extant knowledge and pinpoint the most effective characteristics of and appropriate measures for studying lasting impacts of OST STEMM programs for Black women and girls. The project is positioned to contribute substantially to national efforts to increase participation of Black women in STEMM.
DATE:
-
TEAM MEMBERS:
Ayana Allen-HandyJacqueline GenovesiLoni Tabb
This project will coordinate and focus existing educational elements with the common goal of increasing the participation of underrepresented minorities in STEM degree programs and the STEM workforce. This goal will help the US maintain its leadership in science and engineering innovation while supporting the expansion of the talent pool needed to fuel economic growth in technical areas. The program will feature an assessment system that addresses both social influence factors and the transfer of STEM skills with the aim of identifying the reasons that underrepresented minorities leave the STEM pipeline. By including both curricular and extracurricular elements of the STEM pipeline, ranging from middle school through college, the program will be able to respond quickly to findings from the assessment component and take proactive steps to retain STEM students and maintain their self perception as future scientists or engineers.
The program proposes to assess, unite and coordinate elements in the New Mexico STEM pipeline with the ultimate goal of increasing the participation of underrepresented groups in the STEM workforce. The need to grow a diverse science, technology, engineering and mathematics (STEM) workforce is recognized throughout the State of New Mexico, and beyond, by both the public and private sectors. The project develops a crosscutting assessment system that addresses both social influence factors and the skills component of STEM education. The project develops a collective impact framework aimed at increasing the participation of underrepresented minorities in the STEM workforce and implements a common assessment system for students in the 6-20+ STEM pipeline. This assessment system will address both social influence factors and the transfer of STEM related skills with the aim of building a research base to investigate why students from underrepresented minorities leave the STEM pipeline. The output from this research will drive the development of a set of best practices for increasing retention and a scheme for improving the integration of minority students into the STEM community. The retention model developed as part of the program will be shared with the STEM partners through a series of workshops with the goal of developing a more coordinated approach to the retention of underrepresented minorities. The program focuses on a small set of STEM programs with existing connections to the College of Engineering.
DATE:
-
TEAM MEMBERS:
Steven StochajPatricia SullivanLuis Vazquez
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
The University of Minnesota Extension (UME) contracted Garibay Group to conduct a summative evaluation of the Driven to Discover program (often referred to as D2D by youth participants and adult leaders) to assess how adult leaders in Informal Science Education (ISE) settings used the curriculum and citizen science projects as conduits to engage youth in scientific inquiry.
The purposes of the STUDIO 3D evaluation were to collect information about the impact upon student learning as a result of participating in the STUDIO 3D Project, as well as to elicit information for program improvement. Areas of inquiry include recruiting and retention, impact on project participants, tracking student impacts, and the project as a whole.
The project, called Experimenting With Storytelling, involved working with four schools in East London and Northamptonshire, United Kingdom. Each after school session, with elementary school children and their parents, consisted of a cultural story or folktale (the ‘storytelling’ part) which had some science in it followed by an associated practical activity (the ‘experimenting’ part).