Students in the U.S. educational system are increasingly diverse, and this diversity is reflected in science, technology, engineering, and mathematics (STEM) fields. Diversity in education encompasses students from many races, genders, and socioeconomic backgrounds; students who speak a variety of languages; and students from many cultures. For instance, ethnic diversity increased by 5% across primary and secondary public schools from 2000 to 2007 (Aud, Fox, & KewalRamani, 2010). Diversity is also evident in the socioeconomic make-up of students, with almost half of 4th graders in public
The “Fourth Industrial Revolution” is transforming the world of work. Just as it happened with the technologies of the steam, electricity and computer revolutions, digital technologies are now becoming pervasive and reshaping all parts of the global economy. The computing industry’s rate of job creation in the U.S. is now three times the U.S. national average. This rapid expansion of the computing workforce means that computing skills – with coding at the core – are the most sought-after skills in the American job market.
Yet amid this boom, research by Accenture and Girls Who Code shows
Abstract
In 2011, Donna DiBartolomeo and Zachary Clark enrolled in the Arts in Education Program at Harvard Graduate School of Education. Harvard Graduate School of Education is home to Project Zero, an educational research group comprising multiple, independently funded projects examining creativity, ethics, understanding, and other aspects of learning and its processes. Under the guidance of Principal Investigator Howard Gardner and Project Manager Katie Davis, the authors were tasked with developing a methodology capable of observing finegrained, objective detail in complete works of
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.
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TEAM MEMBERS:
Steven StochajPatricia SullivanLuis Vazquez
According to the Harvard Family Research Project (2010), schools need collaborative partners to help children and youth thrive. For over a decade, afterschool programs have been positioning themselves as viable partners. After all, afterschool programs challenge students’ thinking, teach collaboration, and help children and youth find their passion.
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.
For decades, K–12 science education researchers have echoed the need for inquiry-based teaching approaches to connect students to real scientists and science environments (AAAS 1989; NRC 1996, 2007). The Next Generation Science Standards (NGSS) amplify these needs by stressing the importance of student-developed conceptual models to explain real-world phenomena and coherent integration of authentic science practices, concepts, and core ideas across grade levels (NRC 2012; NGSS Lead States 2013).
"Local Investigations of Natural Science (LIONS)" engages grade 5-8 students from University City schools, Missouri in structured out-of-school programs that provide depth and context for their regular classroom studies. The programs are led by district teachers. A balanced set of investigations engage students in environmental research, computer modeling, and advanced applications of mathematics. Throughout, the artificial boundary between classroom and community is bridged as students use the community for their studies and resources from local organizations are brought into school. Through these projects, students build interest and awareness of STEM-related career opportunities and the academic preparation needed for success.
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TEAM MEMBERS:
Robert CoulterEric KlopferJere Confrey
One day, as I was working with a student after school on a problem involving division with decimals, I told him which number goes in the “division house.” Suddenly the student blurted out, “That is not what my teacher told me, and I hate math!” I knew I had not yet found the key to helping this student. Was I addressing how he felt about math? Should I put the problem away and start over with the beauty of decimals, those smaller-than-one numbers that enable us to measure the speed of an Olympic athlete, the diameter of a pinhead, or the exact length of a ladybug? Teaching afterschool allows
Through this review of research on public engagement with science, Feinstein, Allen, and Jenkins advocate supporting students as “competent outsiders”—untrained in formal sciences, yet using science in ways relevant to their lives. Both formal and informal settings can be well suited for work in which students translate scientific content and practices into meaningful actions.
This poster was presented at the 2016 Advancing Informal STEM Learning (AISL) PI Meeting held in Bethesda, MD on February 29-March 2. The University of Washington Bothell in partnership with three informal science learning institutions coordinate and develop afterschool science programs for high school students. Upon successful completion of the programs, high school students are awarded college credit. The program design and method for issuing college credit is through the design, implementation and issuing of digital badges. The project aims to support programs that engage high school