Since distance education has evolved over time and continues to evolve, and most recently been influenced and challenged by the COVID-19 pandemic, it is the position of the authors that the literature is not yet clear or definitive on what it can confidently state about what are tested best practices in distance education, especially when it comes to informal learning environments.
This report is a literature review of the history of distance education/distance learning. The scan covers the nearly 250 years of documented distance education programs and traces the changes in the technologies that supported the learning purpose.
Researchers at Arizona State University (ASU), in partnership with the Smithsonian Museum on Main Street (MoMS), the Arizona Science Center, and eight tribal and rural museum sites around Arizona, will help educate and empower communities living in the Desert Southwest on water sustainability issues through the creation of WaterSIMmersion, a mixed reality (MR) educational game and accompanying museum exhibit.
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TEAM MEMBERS:
Claire LauerScotty CraigMina Johnson-GlenbergMichelle Hale
Successful peer-to-peer practices in informal science learning (ISL) are often not well defined, but further investigation has the potential to help uncover how to motivate and scaffold children's joint learning in science and engineering. Team Hamster!, a PBS KIDS interactive digital series that helps youth think creatively and use engineering skills to solve problems with everyday tools, will be used to achieve the goals of this project.
This project will focus on understanding how media can improve boys' and girls' perceptions of female scientists and engineers and increase children's understanding of mixed-gender collaborations in STEM.
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TEAM MEMBERS:
Sara SweetmanDaniel WhitesonAbdeltawab HendawiJorge Cham
This document is the final evaluation report for the project, which focuses both on formative evaluation of the collaborative+interdisciplinary presentation creation process and summative evaluation of audience learning outcomes.
This project aims to (1) advance understanding of sociotechnical ecosystems involving AI to support diasporic urban farming; (2) collaboratively develop AI-based technologies that better integrates and sustains technological gains with diasporic knowledge, and (3) systematically assess the impact of AI-based farming technologies on diasporic communities and industrial partners.
In a unique collaboration between PBS NewsHour and Indij Public Media (the parent company of ICT, formerly known as Indian Country Today), this project will put the perspectives and the reporting of Indigenous communities front and center through their co-creation of digital and broadcast segments.
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.
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TEAM MEMBERS:
Jonathan RoweWookhee MinSeung LeeBradford MottJames Lester