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.
This project will teach foundational computational thinking (CT) concepts to preschoolers by creating a series of mobile apps to guide families through sequenced sets of videos and hands-on activities. To support families at home it would also develop a new library model to build librarians' computational thinking content knowledge and self-efficacy so they can support parents' efforts with their children. Computational thinking is a an increasingly critical skill for learning and success in the workforce. It includes the ability to identify problems, brainstorm and generate solutions and processes that can be communicated and followed by computers or humans. There are few projects that introduce computational thinking to young children. Very little research has been done on the ways that parents can facilitate children's engagement in CT skills. And developing a model that trains and supports librarians to become virtual coaches of parents as they engage with their children in CT, will leverage and build the expertise of librarians. The project's target audience includes parents and children living in rural areas where access to CT learning may be very limited. Project partners include the EDC, a major research organization, the American Library Association, and BUILD, a national association that promotes collaborations across library, kindergarten readiness, and public media programming.
The formative research study asks: 1) What supports do parents of preschoolers in rural communities need in order to effectively engage in CT with their children at home? and 2) How can libraries in rural communities support joint CT exploration in family homes? The summative research study asks: 3) how can an intervention that combines media resources, mobile technology, and library supports foster sustained joint parent/child engagement and positive attitudes around CT? Researchers will develop a parent survey, adapting several scales from previously developed instruments that ask parents to report on children's use of CT-related vocabulary and CT-related attitudes and dispositions. Survey scales will assess librarians' attitudes towards CT, as well as their self-efficacy in supporting parents in CT in a virtual environment. During the formative study, EDC will pilot-test survey scales with 30 parents and 6 librarians in rural MS and KY. Analyses will be primarily qualitative and will be geared toward producing rapid feedback for the development team. Quantitative analyses will be used on parent app use, using both time query and back-end data, exploring factors associated with time spent using apps. The summative study will evaluate how the new media resources and mobile technology, in combination with the library virtual implementation model, support families' joint engagement with CT, and positive attitudes around CT. The researchers will recruit 125 low-income families with 4- to 5-year-old children in rural MS and KY to participate in the study. They will randomly assign families within each library to the full intervention condition, including media resources, mobile technology, and library support delivered through the virtual implementation model, or the media and mobile-technology-only condition. This design will allow researchers to understand more fully the additional benefit of library support for rural families' sustained engagement, and conversely, see the comparative impact of a media- and mobile-technology only intervention, given that some families might not be able to access virtual or physical library support.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. This project is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.
This Innovations in Development 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.
There is a national need to expand opportunities to learn coding and computational thinking in informal science, technology, engineering, and mathematics (STEM) education. These skills are increasingly needed in STEM disciplines. As young people learn to code, they engage in computational thinking concepts and practices which are problem solving strategies that include repeated process (iterative) design skills. This project promotes innovation by designing and developing activities for tinkering spaces (a space filled with materials for hands-on exploration of STEM) combined with coding in informal learning organizations such as museums, and community centers. The project supports both tinkering and making as methods to meaningfully incorporate computational thinking in STEM learning experiences. The tinkering approach to learning is characterized by hands-on, trial and error engagement. Making is similar to tinkering with additional attention to learning with peer groups. The long-term goal of the project is to enable informal educators to engage in STEM programming with youth and families from underrepresented groups. The project brings together interdisciplinary teams from the Department of Information Science at the University of Colorado Boulder (CU Boulder), the Tinkering Studio at the Exploratorium, and the Lifelong Kindergarten research group at the Massachusetts Institution of Technology. In collaboration with local partner sites, the project team will design and disseminate a collection of six computational tinkering activity areas that engage learners in creative explorations using a combination of physical objects and computational code. The team will develop visual coding "microworlds" for each of the activity areas, specialized sets of coding blocks designed to provide scaffolding. Additionally, the project team will design and develop facilitation guides to document these activities and facilitation strategies, as well as workshops to better support facilitators in making and tinkering spaces.
The project enhances knowledge building through investigations of what instructional supports informal educators need to develop effective facilitation practices that engage underrepresented youth and families in STEM computational learning experiences. Study participants will include informal educators in museum, library, and community-based settings with varying backgrounds and experiences facilitating computing activities. The project team will also engage youth and families from underrepresented groups through collaborative efforts with community-based partners. Research questions include: 1) What challenges and barriers do informal learning educator, face to engage their learners in design-based activities with computing? 2) What supports informal learning educators to take on key facilitation practices that support children and families in computational tinkering activities? 3) In jointly engaging in these computational tinkering activities, how do the activities and informal learning educators? facilitation of these activities impact children's and families' development of computational tinkering and identities as creators and learners with computing? To answer these research questions the project will use qualitative ethnographic methods to study the developing interactions between learners and facilitators at three local sites. Comparative case studies of facilitators across the local partner sites will also be used to examine what supports facilitators to take on key facilitation practices. Data sources will include participant observation of facilitators and families, documentation in the form of photos, videos, and audio recordings, project artifacts, bi-monthly short surveys with reflective prompts, and interviews with facilitators and families.
This award is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences.
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.
This RAPID was submitted in response to the NSF Dear Colleague letter related to the COVID-19 pandemic. This award is made by the AISL program in the Division of Research on Learning, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. COVID-19 presents a national threat to the health of children and families, presenting serious implications for the mental and physical health of children. Child development scientists have already warned of increasing stress levels among the U.S. child population, especially those in low-income families of color. In addition, Latino children are disproportionately impoverished, and benefit from culturally relevant information. Parents and caregivers need to be armed with effective science-based strategies to improve child prospects during this global crisis. Harnessing well-established partnership (including with local TV news partners and parent-serving organizations) strengthens the potential for broad impacts on the health and well-being of children and families during the COVID-19 pandemic. As the pandemic persists, widely disseminating accurate research-based strategies to support parents and families, with a focus on low-income Latino parents, is crucial to meeting the needs of the nation's most vulnerable during this global crisis. The award addresses this urgent need by producing research-based news videos on child development for distribution on broadcast television stations that reach low income Latino parents. The videos will communicate research-based recommendations regarding COVID-19 in ways that are relatable to Latino parents and lead to positive parenting during this pandemic. A "how to" video will also be produced showing parents how to implement some of the practices. Project partners include Abriendo Puertas, the largest U.S. parenting program serving low-income Latinos, and Ivanhoe Broadcasting.
Research questions include: 1) What information do parents need (and potentially what misinformation they are being exposed to)? 2) What are they sharing? 3) How does this vary geographically? 4) Can researchers detect differences in public engagement in geographic areas where TV stations air news videos as compared to areas that don't? This project will use data and communication science research strategies (e.g. natural language processing from online sites where parents are asking questions and sharing information) to inform the content of the videos and lead to the adoption of featured behaviors. Data from web searches, public Facebook pages, and Twitter posts will be used to gain a window into parents' main questions and concerns including information regarding hygiene, how to talk about the pandemic without frightening their children, or determining veracity of what they hear and see related to the pandemic.
This organic approach can detect concerns that parents may be unlikely to ask doctors or discuss in focus groups. Methodologically, the researchers will accomplish this by natural language analysis of the topics that parents raise; the words and phrases they use to talk about specific content; and any references to external sources of information. Where possible, the researchers will segment this analysis by geography to see if there are geographical differences in information needs and discourse. A research brief will share new knowledge gained with the field on how to respond to national emergencies, such as the COVID-19 pandemic, using local TV news and reinforcement of messages across contexts. The findings from this award will provide a knowledge base that can be utilized to better inform responses to national emergencies in the future. By broadly disseminating these findings through a research brief, the project?s innovative research will advance the field of communication science.
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.
The data collection procedure and process is one of the most critical components in a research study that affects the findings. Problems in data collection may directly influence the findings, and consequently, may lead to questionable inferences. Despite the challenges in data collection, this study provides insights for STEM education researchers and practitioners on effective data collection, in order to ensure that the data is useful for answering questions posed by research. Our engineering education research study was a part of a three-year, NSF funded project implemented in the Midwest
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TEAM MEMBERS:
Ibrahim YeterAnastasia Marie RynearsonHoda EhsanAnnwesa DasguptaBarbara FagundesMuhsin MeneskeMonica Cardella
Computational Thinking (CT) is an often overlooked, but important, aspect of engineering thinking. This connection can be seen in Wing’s definition of CT, which includes a combination of mathematical and engineering thinking required to solve problems. While previous studies have shown that children are capable of engaging in multiple CT competencies, research has yet to explore the role that parents play in promoting these competencies in their children. In this study, we are taking a unique approach by investigating the role that a homeschool mother played in her child’s engagement in CT
For the past two decades, researchers and educators have been interested in integrating engineering into K-12 learning experiences. More recently, computational thinking (CT) has gained increased attention in K-12 engineering education. Computational thinking is broader than programming and coding. Some describe computational thinking as crucial to engineering problem solving and critical to engineering habits of mind like systems thinking. However, few studies have explored how computational thinking is exhibited by children, and CT competencies for children have not been consistently defined
Informal learning environments such as science centers and museums are instrumental in the promotion of science, technology, engineering, and mathematics (STEM) education. These settings provide children with the chance to engage in self-directed activities that can create a of lifelong interest and persistence in STEM. On the other hand, the presence of parents in these settings allows children the opportunity to work together and engage in conversations that can boost understanding and enhance learning of STEM topics. To date, a considerable amount of research has focused on adult-child
Computational Thinking (CT) is a relatively new educational focus and a clear need for learners as a 21st century skill. This proposal tackles this challenging new area for young learners, an area greatly in need of research and learning materials. The Principal Investigators will develop and implement integrated STEM+C museum exhibits and integrate CT in their existing engineering design based PictureSTEM curriculum for K-2 students. They will also pilot assessments of the CT components of the PictureSTEM curriculum. This work will make a unique contribution to the available STEM+C learning materials and assessments. There are few such materials for the kindergarten to second grade (K-2) population they will work with. They will research the effects of the curriculum and the exhibits with a mixed methods approach. First, they will collect observational data and conduct case studies to discover the important elements of an integrated STEM+C experience in both the formal in-school setting with the curriculum and in the informal out-of-school setting with families interacting with the museum exhibits. This work will provide a novel way to understand the important question of how in- and out-of-school experiences contribute to the development of STEM and CT thinking and learning. Finally, they will collect data from all participants to discover the ways that their activities lead to increases in STEM+C knowledge and interest.
The Principal Investigators will build on an integrated STEM curriculum by integrating CT and develop integrated museum exhibits. They base both activities on engineering design implemented through challenge based programming activities. They will research and/or develop assessments of both STEM+C integrated thinking and CT. Their research strategy combines Design Based Research and quantitative assessment of the effectiveness of the materials for learning CT. In the first two years of their study, they will engage in iterations on the design of the curriculum and the exhibits based on observation and case-study data. There will be 16 cases that draw from each grade level and involve data collection for the case student in both schools and museums. They will also use this work to illuminate what integrated STEM+C thinking and learning looks like across formal and informal learning environments. Based in some part on what they discover in this first phase, they will conduct the quantitative assessments with all (or at least most) students participating in the study
Craft has emerged as an important reference point for human-computer interaction (HCI). To avoid a misrepresenting, all-encompassing application of craft to interaction design, this position paper first discerns craft from HCI. It develops material engagement and mediation as differentiating factors to reposition craft in relation to tangible interaction design. The aim is to clarify craft’s relation to interaction design and to open up new opportunities and questions that follow from this repositioning.