This paper was present at the 2017 ASEE (American Society for Engineering Education) Annual Conference & Exposition.
Head Start on Engineering (HSE) is a collaborative, NSF-funded research and practice project designed to develop and refine a theoretical model of early childhood, engineering-related interest development. The project focuses on Head Start families with four-year-old children from low-income communities and is being carried out collaboratively by researchers, science center educators, and a regional Head Start program. The ultimate goal of the HSE initiative is to advance the
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.
In order to improve science, technology, mathematics, and engineering (STEM) learning, it is crucial to better understand the informal experiences that young children have that prepare them for formal science education. Young children are naturally curious about the world around them, and research in developmental psychology shows that families often support children in exploring and seeking explanations for scientific phenomena. It is less clear how to link children's natural curiosity and everyday parent-child interaction with more formal STEM learning. This collaborative project will team researchers from the University of California, Santa Cruz, the University of Texas, and Brown University with informal learning practitioners at the Children's Discovery Museum, The Thinkery, and the Providence Children's Museum in order to investigate how family interaction relates to children's causal learning, as well as how modifications to museum exhibit design and facilitation by museum staff influence families' styles of interaction and increase children's causal learning. This project is funded by the Research on Education and Learning (REAL) program which supports fundamental research by investigators from a range of disciplines in order to deepen what is known about STEM learning.
The project team will examine how ethnically and linguistically diverse samples of parents and children engage in collaborative scientific learning in three children's museums across the U.S. The research will combine observational studies of parent-child interaction in a real-world setting with experimental measures of children's causal learning. The investigators will examine how children explore and derive explanations for museum exhibits about mechanical gear function and fluid dynamics. In this way, the researchers will investigate the relation between styles of parent-child interaction and children's causal learning. The team will also investigate novel ways of presenting material within the exhibits to facilitate exploration and explanation. They will explore how signage, conversations with museum staff, parents' attitudes towards learning in museum settings, and parents' own prior knowledge about the exhibits can influence the parent-child interaction and subsequent causal learning. The project will advance the basic research goal of advancing what is known about what affects children's science content learning. It will also advance the practice-oriented goal of developing new strategies for the design of science museum exhibits and make recommendations for how parents can better talk to their children about scientific phenomena.
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.
DATE:
-
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.
Most scientists say they got into science to make the world a better place and recognize this means sharing what they learn with a range of other people. But deciding to engage also means deciding what to communicate, and it’s at this stage that things get complicated.
Scientists’ most important communication decision may be figuring out their goals. Do they want to help shape local, state or national policy discussions? Do they want to influence individual behavior, such as diet choices, medical decisions or career paths?
Big-picture goal choice is, however, relatively simple, as it
This poster was presented at the 2010 Association of Science-Technology Centers Annual Conference. The Saint Louis Science Center is a partner in Washington University's Cognitive, Computational, and Systems Neuroscience interdisciplinary graduate program funded by the NSF-IGERT (Integrative Graduate Education and Research Traineeship) flagship training program for PhD scientists and engineers.
This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of an interdisciplinary graduate training program in Cognitive, Computational, and Systems Neuroscience at Washington University in Saint Louis. Understanding how the brain works under normal circumstances and how it fails are among the most important problems in science. The purpose of this program is to train a new generation of systems-level neuroscientists who will combine experimental and computational approaches from the fields of psychology, neurobiology, and engineering to study brain function in unique ways. Students will participate in a five-course core curriculum that provides a broad base of knowledge in each of the core disciplines, and culminates in a pair of highly integrative and interactive courses that emphasize critical thinking and analysis skills, as well as practical skills for developing interdisciplinary research projects. This program also includes workshops aimed at developing the personal and professional skills that students need to become successful independent investigators and educators, as well as outreach programs aimed at communicating the goals and promise of integrative neuroscience to the general public. This training program will be tightly coupled to a new research focus involving neuro-imaging in nonhuman primates. By building upon existing strengths at Washington University, this research and training initiative will provide critical new insights into how the non-invasive measurements of brain function that are available in humans (e.g. from functional MRI) are related to the underlying activity patterns in neuronal circuits of the brain. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.
DATE:
-
TEAM MEMBERS:
Kurt ThoroughmanGregory DeAngelisRandy BucknerSteven PetersenDora Angelaki
To address the challenges of recruiting, training, impacting, and retaining scientists in informal outreach and to capitalize on access to the public through a local science center, Washington University and the St. Louis Science Center (SLSC; http://www.slsc.org) collaborated to create a program that combines informal science communication and the professional development of graduate students. The program sought to produce scientists who were trained to be effective informal educators. Workshops developed and led by SLSC staff, followed by personalized coaching, covered essential science
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 paper was presented at the annual meeting of the National Association for Research in Science Teaching, NARST, Chicago, IL. It describes findings from the Work With a Scientist Program (WWASP), which engages scientists and high school students in cogenerative dialogues.
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