Scientific institutions are increasingly embracing values of inclusivity and public engagement, but how do these two dimensions intersect? Science festivals have rapidly expanded in recent years as an outgrowth of these values, aiming to engage and educate the public about scientific topics and research. While resources invested in public engagement by scientists, universities, and governments are admirable in principle; this study indicates that their ambition to broaden the reach of science may be going unrealized in practice. Using data from three major UK science festivals, we demonstrate
The FIRST Longitudinal Study is a multi-year longitudinal study assessing the impacts of FIRST’s afterschool robotics programs on the STEM related interests and educational and career trajectories of program participants. FIRST is one of the nation’s largest after-school robotics programs, serving more than 460,000 youth aged 6-18 annually through the FIRST LEGO League (Ages 7-14), the FIRST Tech Challenge (grades 7-12) and the FIRST Robotics Competition (grades 9-12). The study is tracking over 1200 program participants and comparison students, using a quasi-experimental design, over a
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TEAM MEMBERS:
Alan MelchiorCathy BurackMatthew HooverJill Marcus
This longitudinal research study will contribute to a broader understanding of the pathways of STEM-interested high school students from underrepresented groups who plan to pursue or complete science studies in their post-high school endeavors. The project will investigate the ways that formative authentic science experiences may support youth's persistence in STEM. The study focuses on approximately 900 urban youth who are high interest, high potential STEM students who participate in, or are alumni of, the Science Research Mentoring Program. This program provides intensive mentoring for high school youth from groups underrepresented in STEM careers. It takes place at 17 sites around New York City, including American Museum of Natural History, which is the original program site. Identifying key supports and obstacles in the pathways of high-interest, under-represented youth towards STEM careers can help practitioners design more inclusive and equitable STEM learning experiences and supports. In this way, the project will capitalize on student interest so that students with potential continue to persist.
In order to understand better the factors that influence these students, this research combines longitudinal social network and survey data with interviews and case studies, as well as an analysis of matched student data from New York City Public Schools' records. The research questions in the study are a) how do youths' social networks develop through their participation in scientists' communities of practice? b) what is the relationship between features of the communities of practice and youths' social networks, measures of academic achievement, and youths' pursuit of a STEM major? and c) what are the variations in youth pathways in relationship to learner characteristics, composition of social networks, and features of the community of practice? The research design allows for a rich, layered perspective of student pathways. In particular, by employing social network analysis, this study will reveal relational features of persistence that may be particularly critical for underrepresented youth, for whom STEM role models and cultural brokers provide an otherwise unavailable sense of belonging and identity in STEM. The study will also access a New York City Public Schools data set comprised of student-level records containing biographical and demographic variables, secondary and postsecondary course enrollment and grades, exam scores, persistence/graduation indicators, linked responses to post-secondary surveys, and post-education employment records and wages. These data enable examination of inter-relationships between in-school achievement and out-of-school STEM experiences through comparison of program participants to similar non-participant peers. This project is supported by NSF's EHR Core Research (ECR) program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field.
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
Citizen science by youth is rapidly expanding, but very little research has addressed the ways programs meet the dual goals of rigorous conservation science and environmental science education. We examined case studies of youth-focused community and citizen science (CCS) and analyzed the learning processes and outcomes, and stewardship activities for youth, as well as contributions to site and species management, each as conservation outcomes. Examining two programs (one coastal and one water quality monitoring) across multiple sites in the San Francisco Bay Area, CA, in- and out-of-school
This project, conducted by the University of Pittsburgh and the University of California, Berkeley, seeks to discover what makes middle school students engaged in science, technology, engineering, and mathematics (STEM). The researchers have developed a concept known as science learning activation, including dispositions, practices, and knowledge leading to successful STEM learning and engagement. The project is intended to develop and validate a method of measuring science learning activation.
The first stage of the project involves developing the questions to measure science activation, with up to 300 8th graders participating. The second stage is a 16-month longitudinal study of approximately 500 6th and 8th graders, examining how science learning activation changes over time. The key question is what are the influencers on science activation, e.g., student background, classroom activities, and outside activities.
This project addresses important past research showing that middle school interest in STEM is predictive of actually completing a STEM degree, suggesting that experiences in middle school and even earlier may be crucial to developing interest in STEM. This research goes beyond past work to find out what are the factors leading to STEM interest in middle school.
This work helps the Education and Human Resources directorate, and the Division of Research on Learning, pursue the mission of supporting STEM education research. In particular, this project focuses on improving STEM learning, as well as broadening participation in STEM education and ultimately the STEM workforce.
This poster was presented at 2017 Campus Office of Undergraduate Research Initiatives (COURI) Symposium, El Paso, TX.
One of the principal challenges of the partnership of scientists and high school students are the existent barriers of language between them (Kim & Fortner, 2007). In other words, since scientists are usefully deemed as characters with higher power, status, and knowledge, students may feel nervous or intimidated, especially when scientists speak jargons and complex language. The best educators have a magical way of engaging their audiences with compelling stories. Even the
This poster was presented at 2017 Campus Office of Undergraduate Research Initiatives (COURI) Symposium, El Paso, TX.
Purpose & Problem - According to some existing results identified in the literature, the partnership between high school students and scientist involves several challenges, such as time management, lack of equipment, communication barriers, organization, complexity of the scientific language and scientist availability. The purpose is to address these problems and identify effective ways that can enhance the partnership between the scientist and high school students during
This poster was presented at 2017 Campus Office of Undergraduate Research Initiatives (COURI) Symposium, El Paso, TX.
This study introduces cogenerative dialogues as a pedagogical tool to enhance the communications between students and engineers in a university internship environment. High school student interns worked with engineers for 7 months and were invited to conduct cogenerative dialogues with engineers regularly and discuss any issues, concerns, positives happened in the internship in order to improve their learning experience.
This poster was presented at 2017 Campus Office of Undergraduate Research Initiatives (COURI) Symposium, El Paso, TX. It describes the Work With a Scientist (WWASP) program, in which scientists and high school students engage in co-generative dialogues.
The trend of utilising open learning environments and informal learning sources has a clear link to outdoor education, which bridges the gap between formal education and informal learning. According to the findings related to informal learning and its relevance to early professional development, the crucial era seems to be the first 3 years as an inexperienced teacher. Despite the long history, outdoor education needs new research methods. In Finland, the new National Curriculum 2016 underlines teaching of this “phenomenon” besides the traditional subject orientated teaching. This challenges
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TEAM MEMBERS:
Hannu SalmiArja KaasinenLiisa Suomela