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resource project
iPlan: A Flexible Platform for Exploring Complex Land-Use Issues in Local Contexts
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TEAM MEMBERS:
resource evaluation Media and Technology
This third and final report reflects on the entire three-year grant period. It offers the External Review Team’s overall assessment and observations about the accomplishments and challenges experienced by the Child Trends Team while implementing the proof-of-concept study. It further presents several open questions and opportunities for future consideration.
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TEAM MEMBERS: Toufic Hakim
resource research Public Programs
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.
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TEAM MEMBERS: Dennis Schatz
resource research Public Programs
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.
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TEAM MEMBERS: jill nugent Lea Shell Darlene Cavalier
resource project Media and Technology
Child Trends is a nonprofit organization focused on improving the lives of children and their families by conducting research and sharing the resulting knowledge with practitioners and the public. In this project, Child Trends will conduct research and development to launch a Child Trends News Service aimed at providing news reports that feature social science child-centric research. The resulting work is designed to improve outcomes for at-risk children, particularly Latinos, the largest and fastest-growing minority group among U.S. children. Working with a professional news syndication company, the Child Trends News Service will produce engaging reports for key news media outlets that feature the latest actionable social science research related to behaviors that help mitigate negative child outcomes associated with poverty, lack of education, violence, among other challenges. Child Trends will draw attention to the reports through social media and outreach to stakeholders. By airing these reports on local television news programs in English and Spanish, millions of people will have greater access to this information. This is early R&D work to demonstrate that local television stations will air these stories and to examine the audience impact—how does accessing this social science research through preferred media channels influence news audiences’ knowledge and attitudes toward specific social science research? The study will also delve deeper to better understand how news might, or might not, motivate behavioral change. The study will provide valuable lessons to the informal science education and the STEM communication science field.

The overarching aim of this project is to use commercial news to reach populations, especially Latinos, who have historically been underrepresented in science, technology, engineering and math (STEM) education and careers. The goals of the project are to:
* Leverage mass media news outlets to effectively communicate developments in social science research on child well-being and development to Latino audiences.
* Advance the field of informal STEM learning by exploring how the public interacts with actionable social science child research.
* Expand the reach and application of the news products through strategic collaborations with provider organizations serving at-risk Latino families; the child research and STEM fields; and other organizations working on Latino family issues.
Activities include the development and formative testing of the news service, the qualitative and quantitative testing of the news service's impact on audiences, and evaluation of the implementation of the project's components. The quantitative research, using a control group and treatment group, will work to establish preliminary evidence that the Child Trends News Service will result in changes in viewers' knowledge, attitudes, and intent to adopt behaviors related to child-centric social science research. The Child Trends' project team will be informed by an Advisory Board and Technical Working Group as well by working closely with Abriendo Puertas, the largest U.S. parenting education program for low-income Latino parents. Child Trends will partner with Ivanhoe Broadcast News to produce and distribute the materials. Group I&I Consultancy will evaluate the project. In year-two, Child Trends will produce a research brief on lessons learned and research outcome measures. The proposed research and development will be conducted over a two-year period; findings will inform ongoing service and additional research.

This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
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TEAM MEMBERS: Alicia Torres
resource project Exhibitions
The project will develop and research a new system that bridges the advantages of physical and virtual worlds to improve young children's inquiry-based science learning and engagement in a collaborative way. The project will use innovative technology and successful techniques developed for adaptive tutoring systems and bring this core research into informal learning settings where they haven't been applied before, with the goal of increasing engagement, learning and deep inquiry-based understanding in these environments. Museums and similar informal learning settings offer opportunities for children and families to learn together in an engaging way. However, without learning supports provided by people, signage, or technology, people often miss the point of the learning activity in museums. The project will develop a new genre of "intelligent" interactive science exhibits that combine proven intelligent tutoring system approaches with camera-based vision sensing to add a new layer to hands-on museum exhibits. This intelligent layer provides personalized interactive feedback to museum visitors while they experiment with physical objects in the real world. The project is a collaborative effort led by the Human Computer Interaction Institute at Carnegie Mellon University in partnership with the University of Pittsburgh Learning Research and Development Center, Children's Museum of Pittsburgh, and Carnegie Science Center. It is supported by the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings, as a part of its overall strategy to enhance learning in informal environments.

The project will research whether and how learning principles and adaptive, computer-based technologies that are effective in formal school learning be made effective in an informal museum experience with hands-on activities to enhance the learning and engagement of children and parents. The system will use intelligent camera sensing that tracks and notices children's interaction in physical and virtual spaces and provides adaptive personalized feedback via the help of an engaging character. It guides the children as well as the parents to engage in productive dialogue, helping shape a better parent-child interaction. To investigate this, the project will further develop an innovative mixed-reality system and smart adaptive system that gives personalized feedback to visitors based on their actions, guiding them to understand the world around them like a scientist. The project will gather data on learner behaviors in mixed-reality experiences in informal settings to inform how to better design intelligent science exhibits and derive patterns to support key outcomes, including learning, engagement, collaboration, and productive dialogue. The project will also research the application of these design patterns across different science content areas.
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TEAM MEMBERS: Ken Koedinger Scott Hudson Kevin Crowley Nesra Yannier