This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by engaging in hands-on field experience, laboratory/project-based entrepreneurship tasks and mentorship experiences. This ITEST project aims to research the STEM career interests of late elementary and middle-school students and, based on the results of that research, build an informal education program to involve families and community partners to enhance their science knowledge, attitudes, experiences, and resources. There is an emphasis on underrepresented and low income students and their families.
The project will research and test a new model to promote the development of positive attitudes toward STEM and to increase interest in STEM careers. Phase 1 of the project will include exploratory research examining science capital and habitus for a representative sample of youth at three age ranges: 8-9, 9-10 and 11-12 years. The project will measure the access that youth have to adults who engage in STEM careers and STEM leisure activities. In phase II the project will test a model with a control group and a treatment group to enhance science capital and habitus for youth.
Summary brief describing findings from summative evaluation for the Marcellus Citizen Science Network component of the Marcellus Matters: EASE project.
Summative evaluation of one of four pieces of the Marcellus Matters: EASE project. This study examined the effectiveness of a program developed to immerse adult learners in the processes of scientific research by teaching participants to locate and report orphan and abandoned natural gas wells.
Amid calls from scientific leaders for their colleagues to become more effective public communicators, this study examines the objectives that scientists’ report drive their public engagement behaviors. We explore how scientists evaluate five specific communication objectives, which include informing the public about science, exciting the public about science, strengthening the public’s trust in science, tailoring messages about science, and defending science from misinformation. We use insights from extant research, the theory of planned behavior, and procedural justice theory to identify
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 NSF INCLUDES Launch Pilot project, STEPs to STEM, will create a statewide STEM pipeline within an integrated program of community college education throughout the state prisons of New Jersey. The Pilot leverages a long-standing collaboration among education, government, and volunteer sectors including NJ-Scholarship and Transformative Education in Prisons (STEP), all of whom commit to work together to accredit and ensure articulation (transferability) of the required STEM courses. The broadening participation challenge that will be addressed by this Pilot is to extend college-level STEM education to incarcerated persons, who are overwhelmingly minorities from the lowest socioeconomic levels of American society. Education in general and STEM education in particular equips students for high-level workforce readiness, offering improved quality of life for formerly incarcerated persons and their families and contributing to American economic success.
Technical Abstract:
Four major goals of the Pilot are: 1. consolidate and ensure articulation of STEM A.A. courses in NJ state prisons with a seamless path to B.A. study at Rutgers, the State University of New Jersey; 2. begin teaching new accredited STEM courses and offering REU and internship opportunities to released students; 3. implement tracking of students in STEM courses while incarcerated and beyond, enabling a supplementary research goal to evaluate student and teacher performance in comparison with mainstream educational settings; 4. work with partners in business, government, non-profit, development, and public sectors to build a complete STEM pipeline with a long-term goal of enabling formerly incarcerated students to clear their records through education and workforce participation in STEM. Implementation of the goals will proceed as follows. Senior personnel from each of the cooperating institutions and a jointly-supervised postdoctoral trainee will negotiate the terms of accreditation and articulation across the state system with our partner, the lead accreditation institution, Raritan Valley Community College. Teaching of STEM courses by our established team of volunteers will commence as each course is accredited. Our industry and research partners will begin offering REU and training internships in the first summer. Educational research professional on the team will guide the design, implementation, and analysis of student and teacher performance. New partners will be brought in to the collective from the non-profit, business, and public sectors to extend the reach and impact of this initiative.
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.
Adult education beyond K-12 and postsecondary levels is very important as this citizenry group is often the policy and decision makers in local communities, as well as for state and federal issues that impact the Nation. Moreover, they are responsible for advising their progeny on a myriad of choices. This project will plan, execute, and promote four annual public lecture events, working with a professional educational evaluation expert to develop an appropriate assessment tool for adult learners in the structured informal learning environment of a science café. These planned events will be used to test and refine an assessment tool for making this work widely available to the community of informal science practitioners and researchers. Further, this project is a pilot for epitomizing the use of science cafés to address the learning needs of unique citizens of Richmond, Virginia. The project is committed to including under-represented citizens including Veterans with disabilities. The evaluation and research efforts will validate the education mechanisms so science cafés can be more effective in the future. As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings.
This project is a collaboration that includes Virginia Commonwealth University (VCU), Rockman et al (an evaluation firm), Science Pub RVA (Science Pub RVA is a long-running and award-nominated Richmond, VA science café), Carver Community Partnership, East District Family Resource Center, VCU Partnership for People with Disabilities, VCU Department of Rehabilitation Counseling, VCU Medical Center, and a variety of other VCU departments. The investigators will conduct a series of science cafés to determine motivation, interests, and best practices for educating the diverse citizens of Richmond, Virginia. The objective of the research is to rigorously analyze the characteristics of participants and cohesively determine the best practices for the effective learning for each person. Further, rigorous evaluation will determine validity of the best and most effective learning practices enabling the project to derive an adaptable model. The investigators' hypothesis is that the participant's knowledge base is derived from the traditional learning which occurred in the K-12 classroom. Thus, in this work, the investigators hope to add to the participant's knowledge base with STS (Science, Technology, and Society) content and enhance the depth and breadth of knowledge and knowledge acquisition. The research scope will embrace an assessment that is based on the three vertices of a triangle composed of cognition, observation, and interpretation, all of which converge on the nature of science, the relevance of science to everyday life, and decision-making behaviors.
This study aims to investigate whether different types of museum visits have specific ways to influence the visitors' experience and learning. Three types of museum visits as offered by the Museo della Scienza e della Tecnologia "Leonardo da Vinci" in Milan, Italy were taken into consideration: free tour, guided tour, and lab. The study involved visitors over 25 years of age. The way visits took place, the visitors' learning and experiences were investigated based on evidence collected using methods such as Personal Meaning Mapping and observation. Our study has revealed that the outcomes of
The Art of Science Learning Project (AoSL) is a National Science Foundation (NSF)-funded initiative, founded and directed by Harvey Seifter, that uses the arts to spark creativity in science education and the development of an innovative 21st century STEM workforce. This research was guided by three main hypotheses: (1) Arts-based innovation training, compared to traditional innovation training, improves an individuals creative thinking skills including critical thinking, divergent thinking, problem identification, convergent thinking and problem solving; (2) Arts-based innovation training
A county-wide public engagement event series occurring quarterly that sends pairs of scientists out into public gathering spaces such as bars, coffeehouses, libraries, and laundromats to have casual conversations with local residents about ocean research and science in general or just life in the community.