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.
Roots of Wisdom (also known as Generations of Knowledge; NSF-DRL #1010559) is a project funded by the National Science Foundation that aims to engage Native and non-Native youth (ages 11-14) and their families in Traditional Ecological Knowledge (TEK) and western science within culturally relevant contexts that present both worldviews as valuable, complementary ways of knowing, understanding, and caring for the natural world. The Oregon Museum of Science and Industry (OMSI) and its partner organizations, The Indigenous Education Institute (IEI), The National Museum of the American Indian (NMAI
Recruiting more research scientists from rural Appalachia is essential for reducing the critical public health disparities found in this region. As a designated medically underserved area, the people of Appalachia endure limited access to healthcare and accompanying public health education, and exhibit higher disease incidences and shorter lifespans than the conventional U.S. population (Pollard & Jacobsen, 2013). These health concerns, coupled with the fact that rural Appalachian adults are less likely to trust people from outside their communities, highlights the need for rural Appalachian youth to enter the biomedical, behavioral, and clinical research workforce. However, doing so requires not only the specific desire to pursue a science, technology, engineering, math, or medical science (STEMM) related degree, it also requires the more general desire to pursue post-secondary education at all. This is clearly not occurring in Tennessee’s rural Appalachian regions where nearly 75% of adults realize educational achievements only up to the high school level. Although a great deal of research and intervention has been done to increase students’ interest in STEMM disciplines, very little research has considered the unique barriers to higher education experienced by rural Appalachian youth. A critical gap in past interventions research is the failure to address these key pieces of the puzzle: combatting real and perceived barriers to higher education and STEMM pursuits in order to increase self-efficacy for, belief in the value of, and interest in pursuing an undergraduate degree. Such barriers are especially salient for rural Appalachian youth.
Our long-range goal is to increase the diversity of biomedical, clinical and behavioral research scientists by developing interventions that both reduce barriers to higher education and increase interest in pipeline STEMM majors among rural Appalachian high school students. Our objective in this application is to determine the extent to which a multifaceted intervention strategy combining interventions to address the barriers to and supports for higher education with interventions to increase interest in STEMM fields leads to increased intentions to pursue an undergraduate STEMM degree. Our hypothesis is that students who experience such interventions will show increases in important intrapersonal social-cognitive factors and in their intentions to pursue a postsecondary degree than students not exposed to such interventions. Based on the low numbers of students from this region who pursue post-secondary education and the research demonstrating the unique barriers faced by this and similar populations (Gibbons & Borders, 2010), we believe it is necessary to reduce perceived barriers to college-going in addition to helping students explore STEMM career options. In other words, it is not enough to simply offer immersive and hands-on research and exploratory career experiences to rural Appalachian youth; they need targeted interventions to help them understand college life, navigate financial planning for college, strategize ways to succeed in college, and interact with college-educated role models. Only this combination of general college-going and specific STEMM-field information can overcome the barriers faced by this population. Therefore, our specific aims are:
Specific Aim 1: Understand the role of barriers to and support for higher education in Appalachian high school students’ interest in pursuing STEMM-related undergraduate degrees. We will compare outcomes for students who participate in our interventions, designed to proactively reduce general college-going barriers while increasing support systems, to outcomes for students from closely matched schools who do not participate in these interventions to determine the extent to which such low-cost interventions, which can reach large numbers of students, are effective in increasing rural Appalachian youth’s intent to pursue STEMM-related undergraduate degrees.
Specific Aim 2: Develop sustainable interventions that decrease barriers to and increase support for higher education and that increase STEMM-related self-efficacy and interest. Throughout our project, we will integrate training for teachers and school counselors, nurture lasting community partnerships, and develop a website with comprehensive training modules to allow the schools to continue implementing the major features of the interventions long after funding ends.
This research is innovative because it is among the first to recognize the unique needs of this region by directly addressing barriers to and supports for higher education and integrating such barriers-focused interventions with more typical STEMM-focused interventions. Our model provides opportunities to assess college-going and STEMM-specific self-efficacy, outcome expectations, and barriers/supports, giving us a true understanding of how to best serve this group. Ultimately, this project will allow future researchers to understand the complex balance of services needed to increase the number of rural Appalachians entering the biomedical, behavioral, and clinical research science workforce.
Computer Science (CS) education at the middle school level using educational games has seen recent growth and shown promising results. Typically these games teach the craft of programming and not the perspectives required for computational thinking, such as abstraction and algorithm design, characteristic of a CS curriculum. This research presents a game designed to teach computational thinking via the problem of minimum spanning trees to middle school students, a set of evaluation instruments, and the results of an experimental pilot study. Results show a moderate increase in minimum spanning
Computer science and its related fields are rapidly growing. However, there is a significant and rising shortage of women in this career domain. To combat this shortage, we explored the potential of coupling analog and digital games teaching computer science concepts to educate, interest, and engage female youth. For our purposes we created and used an analog and digital game both teaching the same computer science principle, image representation, in an after school program setting with middle school-aged females. Assessments were completed by the girls before and after the analog game version
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TEAM MEMBERS:
Stephanie EordanidsElisabeth GeeGail Carmichael
Throughout the five year SciGirls CONNECT grant the independent evaluation firm Knight Williams assisted Twin Cities PBS (TPT) in a wide range of program evaluation activities. Given the project’s emphasis on a Train-the-Trainer model, the evaluation prioritized two goals: (i) assessing the various levels of CONNECT trainings from different vantage and time points, and (ii) capturing information on the implementation of SciGirls programs led by those who completed a training. This evaluation approach allowed the team to collect ongoing data over the course of the grant and share this
SciGirls Reflect: Leveraging Multiple Communities and Networks to Expand Understanding of Professional Development for Informal STEM Educators in Gender Equitable Teaching Strategies was a one-day event that brought together 25 SciGirls Trainers, Educators, and Partner Organization representatives to reflect on their experiences with SciGirls. Data was collected throughout the day via panel presentations, small group discussions, and partner interviews. Nineteen of these participants also conducted follow-up Broadening the Discussion interviews with SciGirls Trainers and Educators to gather
The independent evaluation firm Multimedia Research conducted an evaluation of the television component of SciGirls Season Two, including an experimental study of the impact of the TV series on girls' abilities to take part in science and engineering projects.2 During the same period, the independent evaluation team from Knight Williams Inc. conducted an evaluation of the implementation of the outreach activities among the member institutions of the National Girls Collaborative Project (NGCP) network.
Comprehension of the nature and practice of science and its social context are important aspects of communicating and learning science. However there is still very little understanding among the non-scientific community of the need for debate in driving scientific knowledge forward and the role of critical scrutiny in quality control. Peer review is an essential part of this process. We initiated and developed a pilot project to provide an opportunity for students to explore the idea that science is a dynamic process rather than a static body of facts. Students from two different schools
The interview concerns the role of scientific books in the Italian society from the 19th century until today. Having played an important role in the formation of a national scientific community, science popularization has offered a ceaseless high-quality production during the past two centuries. On the other hand, even today scientific publications do reach only a narrow élite. In the author’s opinion, only the school system has the power to widen the public for science in Italy.
This study investigated how eighth-grade students perceived images of women in STEM and non-STEM careers. Thirty-six images were posted on-line; we measured five characteristics of each image. Forty students participated in the study. We found that there were significant differences in attractiveness, creativity, and intelligence between STEM and non-STEM images. There were no significant differences for good at her job and organization. In addition, there were no significant differences among STEM and non-STEM images of women of the same race.
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TEAM MEMBERS:
Seung-Ho ChoMark GoodmanBonnie OppenheimerJames CodlingThomas Robinson