We present the assets that collaboration across a land grant university brought to the table, and the Winterberry Citizen Science program design elements we have developed to engage our 1080+ volunteer berry citizen scientists ages three through elder across urban and rural, Indigenous and non-Indigenous, and formal and informal learning settings.
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TEAM MEMBERS:
Katie SpellmanJasmine ShawChristine VillanoChrista MulderElena SparrowDouglas Cost
We used a youth focused wild berry monitoring program that spanned urban and rural Alaska to test this method across diverse age levels and learning settings.
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TEAM MEMBERS:
Katie SpellmanDouglas CostChristine Villano
In this study, we examined how two different CCS models, a contributory design and a co-created design, influenced science self-efficacy and science interest among youth CCS participants.
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TEAM MEMBERS:
Sarah ClementKatie SpellmanLaura OxtobyKelly KealyKarin BodonyElena SparrowChristopher Arp
The Arctic Harvest-Public Participation in Scientific Research (which encompasses the Winterberry Citizen Science program), a four-year citizen science project looking at the effect of climate change on berry availability to consumers has made measurable progress advancing our understanding of key performance indicators of highly effective citizen science programs.
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TEAM MEMBERS:
Angela LarsonKelly KealyMakaela Dickerson
We examined an approach to reaching audiences who may not ordinarily engage with science. Termed Guerilla Science, this approach blends elements of access, by removing barriers to participation by embedding science into unexpected places, with those of inclusion, by designing activities that speak to the learning identities of participants.
The AI behind Virtual Humans Exhibit aims to communicate to the public about the capabilities and impact of artificial intelligence (AI) through AI technologies used in Virtual Humans including facial recognition and natural language processing. AI has and will continue to profoundly impact society in the United States and around the globe. It is important to prepare the nation’s youth and the future workforce with fundamental knowledge of AI. Informal settings, such as museums, offer open and flexible opportunities in helping youth and the general public learn about AI. Virtual Humans provide an ideal vehicle to illustrate many fields of AI, as AI is arguably the science of building intelligence that thinks and acts like humans. Led by a multidisciplinary team of researchers with expertise in AI, learning design, and assessment from the Institute for Creative Technologies at University of Southern California and the Lawrence Hall of Science at University of California, Berkeley, this project will develop a Virtual Human exhibit to engage visitors through structured conversations with a Virtual Human, while showcasing how AI drives the Virtual Human’s behavior behind the scenes. The exhibit will include collaborative learning experiences for visitors such as parent-child, siblings and peers to explore what AI is and is not, what AI is and is not capable of, and what impact it will have on their lives.
The project will investigate three research questions: (1) How can a museum exhibit be designed to engage visitor dyads in collaborative learning about AI? (2) How can complex AI concepts underlying the Virtual Human be communicated in a way that is understandable by the general public? And (3) How does and to what extent the Virtual Human exhibit increase knowledge and reduce misconceptions about AI?
The project leverages existing conversational Virtual Human technology developed through decades of collaborative research in AI, including machine vision, natural language processing, automated reasoning, character animation, and machine learning. Set in the informal setting of a museum, the exhibit will be designed following evidence-based research in Computer Supported Collaborative Learning. The project team will use a mixed methods design, drawing on design-based research methodologies and experimental studies. The research team will conduct analysis of visitor observations and interviews for iterative formative improvement. Randomized experimental studies will be conducted in both lab and naturalistic environments to gauge visitor knowledge about AI. Quasi-experimental analyses will be performed to study the relationship between engagement with exhibit features and AI knowledge. The project will produce an interactive exhibit with a Virtual Human installed at the Lawrence Hall of Science and other participating museums, and instruments to measure AI learning. The project will also produce a website where visitors can experience parts of the exhibit online and continue more in-depth learning about AI and the Virtual Human technology. The project holds the potential for producing theoretical and practical advances in helping the general public develop an understanding of AI capability and ethics, advancing knowledge in the process through which young learners develop knowledge about AI, and formulating design principles for creating collaborative learning experiences in informal settings. The results will be disseminated through conference presentations, scholarly publications, and social media. The Virtual Human exhibit will be designed for dissemination and made available for installations at informal science education communities.
Kid-focused STEM podcasts have grown in popularity over the years, but the ISE field lacks knowledge of the impact and value of this medium as a means for engaging children and families in science learning and discovery. This research summary shares the results of an exploratory study of the popular children's science podcast, Brains On!, in an effort to being to fill this knowledge gap.
The research was guided by three overarching research questions:
Who is the audience for Brains On! and what are their motivations for listening to children’s science podcasts?
How are Brains On
The Brains On! exploratory research study was guided by three overarching research questions:
Who is the audience for Brains On! and what are their motivations for listening to children’s science podcasts?
How are Brains On! listeners using the podcast and engaging with its content?
What kinds of impacts does Brains On! have on its audiences?
These questions were answered through a three-phase mixed-methods research design. Each phase informed the next, providing additional insights into answering the research questions. Phase 1 was a review of a sample of secondary data in the
The nature of the learning that occurs with real versus replicated objects and environments is an important topic for museums and science centers. Our comparative, exploratory study addressed this area through an investigation of family visits to two different settings: an operating permafrost research tunnel, and a replica of this permafrost tunnel at a science center. We conducted and analyzed family interviews, grounding our work in the Contextual Model of Learning and ideas about sensory components of learning. We found significant differences between the real and replicated environments
This study addresses the increasing interest in family learning in informal settings by investigating strategies to better engage families in science talk and practices. As part of a larger design-based research study, we examine how scientists and parents use think-pair-share discussion prompts to support families’ understandings about local community water sources and facilitate experimentation with a surface and underground water model. Grounded in sociocultural theory of learning, we focus on parent-child interactions and family sensemaking. We analyzed four water quality workshops with 44
This report presents findings of the Latina SciGirls mixed methods study, investigating the experiences of young Latinas participating in informal STEM programs across the U.S. that utilized the SciGirls educational model (including the SciGirls Seven strategies) and augmented with materials and practices intended to better serve Hispanic girls. The project was led by Twin Cities Public Television with funding from the National Science Foundation as an AISL Innovations in Development project. The STEM-related identity framework and research model used to guide this investigation is presented