Skip to main content

Community Repository Search Results

resource research Professional Development, Conferences, and Networks
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
DATE:
TEAM MEMBERS: K.C. Busch
resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
DATE:
TEAM MEMBERS: Ed Greene
resource research K-12 Programs
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.
DATE:
TEAM MEMBERS: Katie Spellman Jasmine Shaw Christine Villano Christa Mulder Elena Sparrow Douglas Cost
resource research K-12 Programs
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.
DATE:
TEAM MEMBERS: Katie Spellman Douglas Cost Christine Villano
resource research Informal/Formal Connections
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.
DATE:
TEAM MEMBERS: Sarah Clement Katie Spellman Laura Oxtoby Kelly Kealy Karin Bodony Elena Sparrow Christopher Arp
resource evaluation Afterschool Programs
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.
DATE:
TEAM MEMBERS: Angela Larson Kelly Kealy Makaela Dickerson
resource project Conferences
This conference project will bring together Black children's media creators with climate scientists and developmental psychologists to promote climate science story making that speak to the concerns, circumstances, and experiences of Black audiences.
DATE: -
TEAM MEMBERS: Ed Greene
resource project Conferences
The conference will convene library leaders, climate researchers and educators, public health experts, and informal educators to examine the current prevalence of climate related programming in libraries, and how the concept of environmental health can be used by libraries to create locally and culturally relevant, change oriented, and equitable STEM (science, technology, engineering, and math) learning experiences.
DATE: -
TEAM MEMBERS: Anne Holland Noah Lenstra Steph Harmon Paul Dusenbery
resource project Museum and Science Center Exhibits
This project builds on an NSF-funded program which engaged youth in the creation of art-science experiences that use the biology and the experiences of migratory birds as a means for communicating the impact of a changing climate.
DATE: -
TEAM MEMBERS: Rebecca Safran Shawhin Roudbari Mary Osnes
resource research Museum and Science Center Exhibits
Recent advances in multimodal learning analytics show significant promise for addressing these challenges by combining multi-channel data streams from fully-instrumented exhibit spaces with multimodal machine learning techniques to model patterns in visitor experience data. We describe initial work on the creation of a multimodal learning analytics framework for investigating visitor engagement with a game-based interactive surface exhibit for science museums called Future Worlds.
DATE:
TEAM MEMBERS: Jonathan Rowe Wookhee Min Seung Lee Bradford Mott James Lester
resource research Museum and Science Center Exhibits
Multimodal models often utilize video data to capture learner behavior, but video cameras are not always feasible, or even desirable, to use in museums. To address this issue while still harnessing the predictive capacities of multimodal models, we investigate adversarial discriminative domain adaptation for generating modality-invariant representations of both unimodal and multimodal data captured from museum visitors as they engage with interactive science museum exhibits.
DATE:
TEAM MEMBERS: Nathan Henderson Wookhee Min Andrew Emerson Jonathan Rowe Seung Lee James Minogue James Lester
resource research Museum and Science Center Exhibits
Recent years have seen a growing interest in investigating visitor engagement in science museums with multimodal learning analytics. Visitor engagement is a multidimensional process that unfolds temporally over the course of a museum visit. In this paper, we introduce a multimodal trajectory analysis framework for modeling visitor engagement with an interactive science exhibit for environmental sustainability.
DATE:
TEAM MEMBERS: Andrew Emerson Nathan Henderson Wookhee Min Jonathan Rowe James Minogue James Lester