PocketMacro is a mobile app designed by the Learning Media Design Center at Carnegie Mellon University in collaboration with Stroud Water Research Center, Carnegie Museum of Natural History and Clemson University, and stakeholder input. The PocketMacro app aims to help users better identify benthic macroinvertebrates commonly found in streams and other waterways. Rockman et al Cooperative (REA), an independent educational evaluation group, designed a summative study to explore the effectiveness of the app in supporting users’ aquatic macroinvertebrate identification. The purpose of the
This project investigates long-term human-robot interaction outside of controlled laboratory settings to better understand how the introduction of robots and the development of socially-aware behaviors work to transform the spaces of everyday life, including how spaces are planned and managed, used, and experienced. Focusing on tour-guiding robots in two museums, the research will produce nuanced insights into the challenges and opportunities that arise as social robots are integrated into new spaces to better inform future design, planning, and decision-making. It brings together researchers from human geography, robotics, and art to think beyond disciplinary boundaries about the possible futures of human-robot co-existence, sociality, and collaboration. Broader impacts of the project will include increased accessibility and engagement at two partner museums, interdisciplinary research opportunities for both undergraduate and graduate students, a short video series about the current state of robotic technology to be offered as a free educational resource, and public art exhibitions reflecting on human-robot interactions. This project will be of interest to scholars of Science and Technology Studies, Human Robotics Interaction (HRI), and human geography as well as museum administrators, educators and the general public.
This interdisciplinary project brings together Science and Technology Studies, Human Robotics Interaction (HRI), and human geography to explore the production of social space through emerging forms of HRI. The project broadly asks: How does the deployment of social robots influence the production of social space—including the functions, meanings, practices, and experiences of particular spaces? The project is based on long-term ethnographic observation of the development and deployment of tour-guiding robots in an art museum and an earth science museum. A social roboticist will develop a socially-aware navigation system to add nuance to the robots’ socio-spatial behavior. A digital artist will produce digital representations of the interactions that take place in the museum, using the robot’s own sensor data and other forms of motion capture. A human geographer will conduct interviews with museum visitors and staff as well as ethnographic observation of the tour-guiding robots and of the roboticists as they develop the navigation system. They will produce an ethnographic analysis of the robots’ roles in the organization of the museums, everyday practices of museum staff and visitors, and the differential experiences of the museum space. The intellectual merits of the project consist of contributions at the intersections of STS, robotics, and human geography examining the value of ethnographic research for HRI, the development of socially-aware navigation systems, the value of a socio-spatial analytic for understanding emerging forms of robotics, and the role of robots within evolving digital geographies.
This project is jointly funded by the Science and Technology Studies program in SBE and Advancing Informal STEM Learning (AISL) Program in EHR.
Familiarity with statistical and data literacy is important in many areas of modern life, but there is little research on how adults continue to build mathematical literacy beyond formal schooling. Mass media science news stories contain much data, assuming that adults will understand the content.This 4-year project will first map the landscape of adult statistical literacy in the US, particularly as it relates to news consumption. The second phase will build on results from the first phase through a longitudinal study. In the third phase, the project will develop a range of experiments to manipulate mathematical explainers embedded in STEM news stories and test techniques with adult audiences, with the goal of identifying the attributes and affordances that best improve confidence and competence in the underlying math principles and their meaning to news stories. in addition to the research, project components include 12 broadcast video and social media pieces each year that will form the basis for testing with audiences, a one-day symposium for professional science journalists, and a written best practice guide that summarizes key findings and implications for practitioners.
Critical research questions are: How do mathematical competence and confidence differ among different segments of the adult population? How can STEM journalists improve adult mathematical competence and confidence through their reporting techniques? Phase 1 of the research will be a landscape review of mathematical content in the news including a baseline study of adult statistical literacy. Phase 2 will be a longitudinal study with news audiences recruited to participate in a panel study. Phase 3 will be iterative testing of the digital content based on the findings from Phases 1 and 2 and will use both focus groups and online testing. External evaluation will be conducted by TERC including an evaluation of the symposium for professional journalists.
The broader impacts of this project are twofold: the science videos created will be broadcast and made available free to a national audience including those in rural areas; and the training of science journalists has the potential for multiple, long term impact by increasing their ability to communicate statistics meaningfully to their readers/viewers.
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.
This four-year research study will investigate families' joint media engagement (JME) and informal STEM learning while listening to the child-focused STEM podcast, Brains On! Prior research has shown that the setting where families most often listen to this podcast together is the family automobile as children are being driven to school, on road trips, or other activities. Brains On! is rooted in the mission-driven principle of public radio to educate and inspire. The target audience is children 5-12 years old and their parents or caregivers. Each episode ranges from 20-45 minutes in length and presents ideas from a variety of STEM disciplines such as physics, chemistry, biology and engineering featuring sound-rich explanations of concepts through fun skits, original songs and interviews with scientists. The episodes use a light-hearted, humorous approach to share oftentimes complex STEM information. To provide an interactive experience, hosts encourage the audience to participate with the show by sending in drawings, emailing photos of plants and animals, or posing questions to be answered in future episodes. Every episode is co-hosted by a different child who interviews top scientists about their work. The scientists are selected to be representative of the range of topics presented and are meant to serve as role models for the listeners and demonstrating a wide range of career options in the STEM field.
The research adds to the social learning theory of joint media engagement (JME) which has shown that interactions between people sharing a media experience can result in learning together. Recent work on Joint Media Engagement has focused on parent/child interactions with television/video in the home. But little is known about how families engage with children's STEM podcasts together and what learning interactions occur as a result. Even less is known about this engagement within an automobile setting. This research project will build new knowledge filling a gap in the informal STEM learning field. It will use a mixed-methods research design with three phases of research to answer these questions: 1) How does the Brains On! podcast mediate STEM-based joint media engagement and family learning in an automobile setting? 2) What does STEM based joint media engagement and family learning look and sound like in this setting? 3) How do "in-automobile" factors foster or impede STEM-based joint media engagement and family learning? Phase 1 is a listener experience video study of 30 families listening to the Brains On! episodes. Phase 2 is video-based case studies of the natural automobile-based listening behaviors of eight Phase 1 families. Phase 3 is an online survey of Brains On! listeners to understand how representative the findings from Phases 1 and 2 are to the larger Brains On! Research. Results will be shared widely with key audiences that can use the findings (media developers, ISE practitioners, ISE evaluators and researchers, and families). It will also make an important contribution to the Joint Media Engagement literature and the ISE field.
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.
Robots and robotics excite and challenge youths and adults. Unfortunately, the cost of purchasing robots or building useful robots is prohibitive for many low resource individuals and groups. This project will relieve this expense and provide an opportunity for resource limited individuals to experience the thrilling aspects of robotics by building a computer game that simulates robotic action. This project uses co-robotics wherein the participating player programs an avatar to assist in a symbiotic manner to achieve the goals of the game and participant. The game will provide access to the ideas and concepts such as programing, computational thinking and role assumption. The overarching goals are (1) to engage low-resource learners in STEM education through robotics in out-of-school spaces, and (2) to update the field of robotics-base STEM education to integrate the co-robotics paradigm.
This project is designed to gain knowledge on how co-robotics can be used in the informal education sector to facilitate the integration of computational science with STEM topics and to expand the educational use of co-robotics. Because the concept of co-robotics is new, a designed-based research approach will be used to build theoretical knowledge and knowledge of effective interventions for helping participants learn programing and computational thinking. Data will be collected from several sources including surveys, self-reports, in game surveys, pre and post-tests. These data collection efforts will address the following areas: Technology reliability, Resolution of cognitive tension around co-play, Accelerate discovery and initial engagement, Foster role-taking and interdependence with co-robots, Investigate social learning, and Validate measures using item response theory analysis. The DBR study questions are:
1.What design principles support the development of P3Gs that can effectively attract initial engagement in a free-choice OST space that offers large numbers of competing options? 2.What design principles support a P3G gameplay loop that enables learning of complex skills, computational thinking and co-robotics norms, and building of individual and career interest over the course of repeated engagement?
3.What design principles support P3Gs in attaining a high rate of re-engagement within low-resource OST settings? 4.What kinds of positive impact can P3Gs have on their proximal and distal environment? In addition, the project will research these questions about design: 1.What technical and game design features are needed to accommodate technological interruption? 2.What design elements or principles mitigate competition for cognitive resources between real-time play and understanding the co-robotic's behavior in relation to the code the player wrote for it? 3.What design elements are effective at getting learners in OST settings to notice and start playing the game? 4.What designs are effective at encouraging learners to engage with challenging content, particularly the transition from manual play to co-play? 5.What design elements help players develop a stake in the role the game offers? 6.What social behaviors emerge organically around a P3G prototype that is not designed to evoke specific social interactions?
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.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. Informal STEM educational activities have proliferated widely in the US over the last 20 years. Additional research will further validate the long-term benefits of this mode of learning. Thus, elaborating the multitude of variables in informal learning and how those variables can be used for individual learning is yet to be defined for the circumstances of the learners. Thus, the primary objective of this work is to produce robust and detailed evidence to help shape both practice and policy for informal STEM learning in a broad array of common circumstances such as rural, urban, varying economic situations, and unique characteristics and cultures of citizen groups. Rather than pursuing a universal model of informal learning, the principal investigator will develop a series of comprehensive models that will support learning in informal environments for various demographic groups. The research will undertake a longitudinal mixed-methods approach of Out of School Time/informal STEM experiences over a five-year time span of data collection for youth ages 9-19 in urban, suburban, town, and rural communities. The evidence base will include data on youth experiences of informal STEM, factors that exert an influence on participation in informal STEM, the impact of participation on choices about educational pathways and careers, and preferences for particular types of learning activities. The quantitative data will include youth surveys, program details (e.g. duration of program, length of each program session, youth/facilitator ratio, etc.), and demographics. The qualitative data will include on-site informal interviews with youth and facilitators, and program documentation. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.