This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).
Research shows that Black girls and women, regardless of their academic achievements and STEM interests, often encounter academic under-preparation, social isolation, exclusion, and race-gender discrimination that negatively impacts their ongoing engagement and retention in STEM. This project will provide innovative, culturally relevant learning environments to middle and high school Black girls to counter these negative trends. Using hands-on coding and robotics activities, project participants will develop positive attitudes toward science, technology, engineering, and mathematics (STEM). The project emphasizes peer-mentoring by providing opportunities for Black female high school (assistant coaches) and Black college students (coaches) to serve as counselors and mentors to participants. Additionally, engineers, scientists, and executives from STEM industries will serve as mentors and share their experiences to broaden participants’ STEM career aspirations. The project is a three-year collaborative effort between the University of California Davis C-STEM Center, the Umoja Community Education Foundation, and the 66 affiliated California community colleges, industry partners, and school districts in California. Over three years, nearly 2,000 females will participate in the project.
Learning environments for Black girls and women led by other Black girls and women are referred to as “counterspaces” where they are free to engage in STEM in ways that value their identities while promoting STEM engagement, interests, and career aspirations. The project’s curriculum will follow a research-based, culturally relevant multi-tiered mentoring approach. The curriculum is designed to develop participants’ STEM content knowledge, critical thinking, and logical reasoning capabilities through meaningful connections to real-life applications using hands-on coding and robotics. A mixed-method longitudinal study will examine the impact on participants’ STEM outcomes, emphasizing contributing new knowledge on the viability of multi-tiered, culturally relevant mentoring for increasing equity in informal STEM learning (ISL). The program's effectiveness will be evaluated using longitudinal assessments of mathematics standards, computer science and robotics conceptual knowledge, logical and critical thinking skills, STEM school achievements, interests and attitudes toward STEM subjects, advanced STEM course-taking, involvement in other ISL opportunities, and leadership in STEM in one’s school/university and community. The project will test a locally based informal learning model with projects hosted by other K-12 and college partners.
This Innovations in Development project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.
This Innovations in Development 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 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.
Quantum information science (QIS) is an emergent cross-disciplinary field at the interface of physics, computer science, materials science, and engineering. Yet, there are few educational programs that encourage young people to explore QIS and understand its applications and societal benefits. Such programs are critical for supporting the growth of a quantum-ready workforce. Building intuition is a foundational first step but this is challenging because quantum effects are neither visible to the naked eye, nor experienced in everyday life. This project will create a suite of accessible, engaging digital games for middle schoolers, and study their effectiveness in cultivating intuition around QIS. Relating QIS concepts to common game mechanics is designed to increase students’ confidence in their QIS knowledge, reduce their fear of tackling such a subject, and consider pursuing a career in this field or another STEM area. The game-driven design appeals to a broad population beyond the age groups studied. Moreover, the deliverables will be freely available online, which allows anyone with a phone or computer and internet access a way to learn about QIS in an engaging, play-based environment. The program will partner with teacher organizations and other community groups to share the games, maximizing the project’s impact.
The project is guided by the QIS Key Concepts developed in 2020, as well as research and best practices on gamification of learning. The games will be designed for 6th-8th grade students in an informal setting, focusing on the concepts of probability, superposition, and role of measurement. A game world titled "Quander" will include videos that explicitly tie game experiences to QIS concepts and applications. The project will evaluate students' understanding after playing the games and watching the videos, how they engage with aspects of the games, and how the game impacted their interest in QIS. The project data will advance understanding of how to facilitate QIS informal learning experiences in ways that engage young audiences in QIS and similar abstract emerging areas of technology where current research is scant. This project represents one of the first efforts to teach QIS concepts in ways that connect directly to young learners’ play-based experiences. Data gathered from the project will help future program designers understand the ability of young learners to reason about QIS concepts such as measurement, superposition and probabilities in game contexts, providing insights to the ages at which students are ready for more technical content.
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.
Computing and computational thinking are integral to the practice of modern science, technology, engineering, and math (STEM); therefore, computational skills are essential for students' preparation to participate in computationally intensive STEM fields and the emerging workforce. In the U.S., Latinx and Spanish speaking students are underrepresented in computing and STEM fields, therefore, expanding opportunities for students to learn computing is an urgent need. The Georgia Institute of Technology and the University of Puerto Rico will collaborate on research and development that will provide Latinx and Spanish speaking students in the continental U.S. and Puerto Rico, opportunities to learn computer science and its application in solving problems in STEM fields. The project will use a creative approach to teaching computer science by engaging Latinx and Spanish speaking students in learning how to code and reprogram in a music platform, EarSketch. The culturally relevant educational practices of the curriculum, as a model for informal STEM learning, will enable students to code and reprogram music, including sounds relevant to their own cultures, community narratives, and cultural storytelling. Research results will inform education programs seeking to design culturally authentic activities for diverse populations as a means to broaden participation in integrated STEM and Computing. This Broad Implementation project 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, including multiple pathways for broadening access to and engagement in STEM learning, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.
As part of the technical innovation of the project, the EarSketch platform will be redesigned for cultural and linguistic authenticity that will include incorporating traditional and contemporary Latin sound beats and musical samples into the software so that students can remix music and learn coding using sounds relevant to their cultures; and developing a Spanish version of the platform, with a toggle to easily switch between English and Spanish. Investigators will also develop an informal STEM curriculum using best practices from Culturally Relevant Education and Cultural Sustaining Pedagogy that provides authentic, culturally and linguistically rich opportunities for student engagement by establishing direct and constant connections to their cultures, communities and lived experiences. The curriculum design and implementation team will work collaboratively with members of Latinx diverse cultural groups to ensure semantic and content equivalency across diverse students and sites. Validating the intervention across students and sites is one of the goals of the project. The model curriculum for informal learning will be implemented as a semester long afterschool program in six schools per year in Atlanta and Puerto Rico, and as a one-week summer camp twice in the summer. The curricular materials will be broadly disseminated, and training will be provided to informal learning practitioners as part of the project. The research will explore differences in musical and computational engagement; the interconnection between music and the computational aspects of EarSketch; and the degree to which the program promotes cultural engagement among culturally and linguistically heterogenous groups of Latinx students in Atlanta, and more culturally and linguistically homogenous Latinx students in Puerto Rico. Investigators will use a mixed method design to collect data from surveys, interviews, focus groups, and computational/musical artifacts created by students. The study will employ multiple case study methodology to analyze and compare the implementation of the critical components of the program in Puerto Rico and Atlanta, and to explore differences in students' musical and computational thinking practices in the two regions. Results from the research will determine the impact of the curriculum on computer science skills and associated computational practices; and contribute to the understanding of the role of cultural engagement on educational outcomes such as sense of belonging, persistence, computational thinking, programming content knowledge and computer science identity. Results will inform education programs designing culturally authentic and engaging programming for diverse populations of Latinx youths.
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TEAM MEMBERS:
Diley HernandezJason FreemanDouglas EdwardsRafael Arce-NazarioJoseph Carroll-Miranda