Please join us in celebrating Citizen Science Day, which falls this year on Saturday, April 14th. This issue of Connected Science Learning is dedicated to highlighting effective citizen science programs that involve classroom students in collecting data for research scientists, while also engaging them in key STEM (science, technology, engineering, and math) content and practices. Students get a “front row seat” to what scientists do and how scientists work, plus develop the reasoning skills and practices used by scientists.
With support from the National Science Foundation (NSF), SciStarter 2.0 was launched to enhance, diversify, and validate participant engagement in scientific research in need of the public’s help. SciStarter’s leadership is part of the National Academy of Sciences’ Committee, Designing Citizen Science to Support Science Learning, which is developing guidelines and a research agenda for citizen science in education. This article briefly introduces educators to SciStarter 2.0.
In this NSF INCLUDES Design and Development Launch Pilot the institutions of "Building on Strengths" propose to build and pilot the infrastructure, induction process, and early implementation of the Mathematician Affiliates of Color network. This network will consist of mathematicians of color from across academia and industry who want to invest time in, share their expertise with, and learn from students of color and their teachers. Building on Strengths will draw on basic needs cognitive theory to support these interactions and will focus narrowly on short and moderate term collaborations (from one month to a semester) between visiting mathematicians, students, and collaborating teachers that will involve three specific types of interactions: doing mathematics together as a habits-of-mind practice, talking about the discipline of mathematics and the experiences of mathematicians of color in that discipline, and relationship-building activities. The foundational infrastructure developed in the project will include systems for recruitment, selection and induction, a process for pairing affiliate mathematicians with classrooms, and support structures for the collaborations. To support the goals of the network a prototype virtual space will be developed in which real-time artifacts can be collected and shared from the classroom interactions. While Building on Strengths will pilot this program in the secondary context, once a viable model is established, scaling to K-16, as well as to other STEM fields, will be possible.
The research study in the project uses an exploratory sequential mixed-methods design and will be conducted in two phases. In the first, quantitative, phase of the study the following questions will be addressed: (1) Is the teacher-mathematician collaboration associated with a change for students in perception of basic human needs being met, mathematical or racial identities, or beliefs about mathematics or who can do mathematics? (2) Is the teacher-mathematician collaboration associated with a change for adults in perceptions of the role of basic needs or in adults' identities or beliefs about mathematics or who can do mathematics? In the second, qualitative, phase of the study, two types of interactions will be selected for in-depth qualitative study, identifying cases where groups of students experienced changes in their needs, identity, and beliefs. In this qualitative case-centered phase, the following questions will be explored: (1) What is the nature of the mentor-student interaction? (2) What aspects of the intervention do students feel are most relevant to them? (3) How did the implementation of the intervention differ from the anticipated intervention? The results of the study will help improve the infrastructure for, and better support the interactions between, mathematicians of color, students of color and their mathematics teachers; the outcomes will also shed light on how students experience their interactions.
DATE:
-
TEAM MEMBERS:
Michael YoungMaisha MosesAlbert CuocoEden Badertscher
The National Science Festival Network project, also operating as the Science Festival Alliance, is designed to create a sustainable national network of science festivals that engages all facets of the general public in science learning. Science Festivals, clearly distinct from "science fairs", are community-wide activities engaging professional scientists and informal and K-12 educators targeting underrepresented segments of local communities historically underserved by formal or informal STEM educational activities. The initiative builds on previous work in other parts of the world (e.g. Europe, Australasia) and on recent efforts in the U.S. to create science festivals. The target audiences are families, children and youth ages 5-18, adults, professional scientists and educators in K-12 and informal science institutions, and underserved and underrepresented communities. Project partners include the MIT Museum in Cambridge, UC San Diego, UC San Francisco, and the Franklin Institute in Philadelphia. The deliverables include annual science festivals in these four cities supported by year-round related activities for K-12 and informal audiences, a partnership network, a web portal, and two national conferences. Ten science festivals will be convened in total over the 3 years of the project, each reaching 15,000 to 60,000 participants per year. STEM content includes earth and space science, oceanography, biological/biomedical science, bioinformatics, and computer, behavioral, aeronautical, nanotechnology, environmental, and nuclear science. An independent evaluator will systematically assess audience participation and perceptions, level/types of science interest stimulated in target groups, growth of partnering support at individual sites, and increasing interactions between ISE and formal K-12 education. A variety of qualitative and quantitative assessments will be designed and utilized. The project has the potential to transform public communication and understanding of science and increase the numbers of youth interested in pursuing science.
DATE:
-
TEAM MEMBERS:
Loren ThompsonJeremy BabendureBen Wiehe
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The