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resource project Media and Technology
Future educational robots are emerging as social companions supporting learning. By socially interacting with such a robot, learners can potentially reason and talk about the things they are learning and receive help in seeing the relevance of STEM in their daily lives. However, little is known about how to design educational robots to work with youth at home over a long period of time. This project will develop an informal science learning program, called STEMMates, in collaboration with a local community center, for youth with little interest in science. The program will partner learners with an in-home learning companion robot, designed to read books with youth and provide science activities for them at the community center, where youth will engage in exciting and personally relevant science learning. As the learner reads books, the robot will make comments about what is happening in the book to help connect the reading to the science activities at the community center. The overarching goals of STEMMates are to: (a) positively support youth's individual interest in science and future science learning, (b) connect in-home learning experiences with out-of-school community-based learning, (c) bridge the gap between formal and informal engagement and learning in science, and (d) encourage the participation of youth who are underrepresented and who have low interest in STEM learning. This project is funded by the Advancing Informal STEM Learning program, which seeks to advance new approaches to and evidence-based understanding of the design and development of STEM learning opportunities for the public in informal environments.

Researchers will work with youth and staff at the community center, alongside experts in informal science learning, to design the program and then test how learners respond to reading with the robot and participating in the science activities and whether this program has a lasting impact on their science interest. Social interactions with a robot may help distribute cognitive load during learning activities to help youth reason about STEM and also supplement learning by improving feelings of value and belongingness in order to facilitate lasting interest development. Following a mixed-methods research approach using qualitative and quantitative data-collection techniques, the research team will investigate the following research questions: (1) What social and interest-development supports and activities can be utilized as socially situated interest scaffolds in an informal and in-home, augmented reading and science activity program to promote individual interest and learning in science for low interest learners? How can a social robot best facilitate this program? (2) How do learners perceive and interact with the robot in authentic, in-home, long-term situations, and how does this interaction change over time? (3) Does working with a robot designed with socially situated interest scaffolds increase individual interest in science when compared to a pre-intervention baseline, and do these effects impact future (long-term) interest and engagement in formal science learning? To answer these research questions, researchers will implement the science learning program during an 11-week summer deployment and utilize an AB single-case research design. Interview-based qualitative data and self-report surveys to examine the learner?s perception of the robot and their evolving interest in science and quantitative data on science learning using pre-/post-measure comparisons will be collected. Log data of time-on-task, reading rate, book selection and reading goal attainment will also be collected by the robot. The outcomes of this project will lay the groundwork for future investigations of the design of social robots for a diversity of learner populations and their use in different informal learning settings.

This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS: Bilge Mutlu
resource project Media and Technology
As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings. In this project, the primary goal of Geo-literacy Education in Micronesia is to demonstrate the potential for effective intergenerational, informal learning and development of geo-literacy through an Informal STEM Learning Team (ISLT) model for Pacific island communities. This will be accomplished by means of a suite of six informal learning modules that blend local/Indigenous approaches, Western STEM knowledge systems, and active learning. This project will be implemented across 12 select communities in the Republic of Palau, the Federated States of Micronesia - which consists of the four States of Chuuk, Kosrae, Pohnpei, and Yap - and the Republic of the Marshall Islands. Jointly, these entities are referred to as the Freely Associated States (FAS). Geo-literacy refers to combining both local knowledge and Western STEM into a synthesized understanding of the world as a set of interconnected, dynamic physical, biological, and social systems, and using this integrated knowledge to make informed decisions. Applications include natural resource management, conservation, and disaster risk reduction. The project will: (1) demonstrate that the recruitment and development of an ISLT model is an effective method of engaging communities in geo-literacy activities; (2) increase geo-literacy knowledge and advocacy skills of ISLT participants; (3) produce and disseminate geo-literacy educational materials and resources (e.g., place-based teaching guides, geospatial data systems, educational apps, 2-D and 3-D models, and digital maps); and (4) provide evidence that FAS residents use these geo-literacy educational materials and resources to positively influence decision-making.
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TEAM MEMBERS: Corrin Barros Koh Ming Wei Danko Tabrosi Emerson Odango