This background paper is intended to support consideration of assessments "in improving program quality and student learning outcomes in the field of informal science education." This includes three questions: (a) What definitions of engagement, interest, curiosity, and motivation might be used in evaluations of informal and after-school science learning programs and activities? (b) Given the diversity of learning experiences, what are the prospects for developing common definitions of engagement, interest, curiosity, and motivation? And, (c) Given the diversity of types of informal and after
The NRC Framework for K – 12 Science Education (2012) lists five major ideas that are essential to the design of assessments and learning environments: 1) limited number of core ideas of science, 2) cross-cutting concepts, 3) engaging students in scientific and engineering practices, 4) building integrated understanding as a developmental process, and 5) the coupling of scientific ideas and scientific and engineering practices to develop integrated understanding. What implications do these major ideas have for assessment in informal science setting? This paper will discuss each of these ideas
The practice and use of assessments in the informal science education (ISE) realm is highly diverse and inconsistent, with differing stakeholders having dramatically different attitudes towards which assessments (if any) they value. This essay reviews the landscape of attitudes and uses of assessment on the part of informal science education stakeholders beyond the research community.
Recent work in the informal science education (ISE) field has begun to systematically categorize aspects of learning in a variety of ways. Most notable are the “Framework for Evaluating Impacts of Informal Science Education” (Friedman, A. (Ed.), 2008, henceforth ‘NSF’) and “Learning Science in Informal Environments” (LSIE, National Research Council, 2009, henceforth ‘NRC’). Both frameworks have potential implications for assessment as well as project planning.
This article describes discussions about the relationship between afterschool programs and the Common Core Standards at a networking meeting sponsored by the Robert Bowne Foundation for out-of-school time (OST) providers in New York City in the fall of 2013. The meeting was entitled "Introducing the Common Core Learning Standards: What Are They? What Do We Need to Know?"
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TEAM MEMBERS:
Suzanne MartenSara HillAnne Lawrence
What would it be like to increase the number of youth-serving volunteers who can competently lead science, technology, engineering, and math (STEM) activities? This question guided the Inquiry in the Community project, launched in 2008. Along with Girl Scout staff colleagues and volunteers, the project created a system for embedding inquiry-based science into a youth development organization.
Grounded in literature on best practices in science education, this article describes a systematic and intentional approach to developing out-of-school time (OST) science curricula and professional development models. Examples from the California 4-H Science, Engineering, and Technology Initiative demonstrate promising practices in action.
Educational researchers, scholars, theoreticians, and practitioners define, interpret, and study out-of school science education in various ways. Some use the term informal, while others prefer free-choice, outdoor education, everyday learning or lifelong learning. Preferences reflect theory, settings and practice, but regardless of the terminology, all researchers who are engaged in learning that occurs outside of schools are convinced that a wide range of environments—structured and unstructured—afford various types of engagement and learning. Learning science in such environments has
A Study of Communication in the NISE Network (Network Communication Study), conducted during the sixth year of the grant, sought to learn how the four primary communication components that were developed in the first 5 years of NISE Net (NanoDays, face-to-face meetings, the regional hub structure, and the nisenet.org website) are functioning within the Network. In particular, the study explored how these components communicate information, ideas, and practices related to NISE Net between and within the three Network tiers.
This poster was presented at the 2014 AISL PI Meeting in Washington DC. It describes the CLUES project that provides STEM education opportunities to families.
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TEAM MEMBERS:
New Jersey Academy for Aquatic SciencesBarbara Kelly
This report summarizes the processes and findings of a two-year, multimethod evaluation of the Museum of Science & Industry's Mystery at the Museum program. The evaluation's purpose was to assess the program's impact on teachers and students and to guide program improvements.
This is a Science Learning+ planning project that will develop a plan for how to conduct a longitudinal study using existing data sources that can link participation in science-focused programming in out-of-school settings with long-range outcomes. The data for this project will ultimately come from "mining" existing data sets routinely collected by out-of-school programs in both the US and UK. 4H is the initial out-of-school provider that will participate in the project, but the project will ideally expand to include other youth-based programs, such as Girls Inc. and YMCA. During the planning grant period, the project will develop a plan for a longitudinal research study by examining informal science-related factors and outcomes including: (a) range of educational outcomes, (b) diversity and structure of learning activities, (c) links to formal education experiences and achievement measures, and (d) structure of existing informal science program data collection infrastructure. The planning period will not involve actual mining of existing data sets, but will explore the logistics regarding data collection across different informal science program, including potential metadata sets and instruments that will: (a) identify and examine data collection challenges, (b) explore the implementation of a common data management system, (c) identify informal science programs that are potential candidates for this study, (d) compare and contrast data available from the different programs and groups, and (e) optimize database management.