In fall 2019, the Bell Museum received funding via a NASA TEAM II grant to create Mars: The Ultimate Voyage, a full-dome planetarium show and accompanying hands-on activities that focus on the interdisciplinary roles that will be needed to send humans to Mars. This report from Catalyst Consulting Group presents the findings from the summative evaluation completed in March–May 2023.
Engineering is arguably one of the most critical skills in any society, from building bridges and homes, to designing cell phones and life-saving medical devices. Yet many Americans do not consider engineering to be essential or relevant to their everyday lives, and may even question its positive impact on society. While there have been gains in the number of women and underrepresented minorities in STEM professions over the past few decades, their numbers in the field remain disproportionately low. The Built World integrated multimedia and research project therefore aims to expand access to engineering content through the lens of “inclusive engineering,” which highlights how problem-solvers of all ages, genders, backgrounds, and perspectives approach and overcome challenges to innovate. The project applies this concept through the creation of Built World, a three-hour documentary series for broadcast on PBS stations nationwide, and a complementary interactive escape game streamed live on Twitch, where individuals of all ages and backgrounds can play and solve engineering challenges together. There is a need for effective remote and virtual interaction to support informal STEM learning, and live streaming game platforms present a promising approach to filling this need. Built World is poised to advance the field through: (1) content - creating high-quality inclusive engineering content across multiple platforms to reach a wide audience (Built World documentary, digital reporting and short form videos, community outreach campaign); (2) applied research - designing and studying how live-streaming, collaborative platforms can serve as safe and inclusive spaces for engineering learning; and (3) best practices - exploring how audiences engage with inclusive engineering on different platforms—a traditional documentary format (Built World) versus an interactive, collaborative space (Twitch game)—and identifying what learning outcomes might be expected on each.
A three-phase research design aims to understand what motivates users to engage with STEM content on Twitch; how to define and measure learning outcomes associated with the platform; and how to mitigate the risk of toxic environments in online communities by fostering safe spaces for a diversity of gamers. Phase 1 informs the initial design of the Twitch game and audience interaction strategies and seeks to answer: What is the best way to measure informal learning on Twitch? What is the best way to design a Twitch channel to create an inclusive space while optimizing learner engagement? Phase 2 is the core focus of the research and uses a semi-experimental design to answer questions such as: Is there evidence of learning on Twitch, and what type of learning is happening? What is the digital culture that emerges? Phase 3 assesses the pairing of the documentary series with the Twitch game to maximize informal STEM learning and is guided by questions such as: How does inclusive engineering content presented on two platforms (Twitch game and Built World series) mediate learning outcomes? How does inclusive engineering content presented on two platforms shape learners’ experiences of inclusivity and belonging? Knowledge generated through the Built World project will offer tools and best practices to other STEM media producers so that they may also leverage live streaming platforms for learning.
Data is increasingly important in all aspects of people’s lives, from the day-to-day, to careers and to civic engagement. Preparing youth to use data to answer questions and solve problems empowers them to participate in society as informed citizens and opens doors to 21st century career opportunities. Ensuring equitable representation in data literacy and data science careers is critical. For many girls underrepresented in STEM, developing a "data science identity" requires personally meaningful experiences working with data. This project aims to promote middle school-aged girls’ interest and aspirations in data science through an identity-aligned, social game-based learning approach. The goals are to create a more diverse and inclusive generation of data scientists who see data as a resource and who are equipped with the skills and dispositions necessary to work with data in order to solve practical problems. The research team will run 10 social clubs and 10 data science clubs mentored by women in data science recruited through the University of Miami’s Institute for Data Science and Computing. Participants will be 250 middle school-aged girls recruited in Miami, FL, and Yolo County, CA, through local and national girls’ organizations. Youth will participate in a data science club and will learn key data science concepts and skills, including data structures, storage, exploration, analysis, and visualization. These concepts will be learned from working with their own data collected in personally meaningful ways in addition to working with data collected by others in the same social game eco-system. The project will also develop facilitator materials to allow adult volunteers to create game-based informal data science learning experiences for youth in their areas. The 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 and is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST), which seeks to engage underrepresented students in technology-rich learning environments, including skills in data literacy, and increase students’ knowledge and interest in information and communication technology (ICT) careers.
Researchers will focus on two primary research questions: 1) Across gameplay and club experiences, in what ways do participants engage with data to pursue personal or social goals? 2) How do gameplay and club experiences shape girls’ perceptions of data, data science, and their fit with data and data science? The project will use design-based research methods to iteratively design the game and social club experiences. To ensure that uses of data feel personally and socially meaningful to young girls, the virtual world’s goals, narratives, and activities will be co-designed with girls from groups underrepresented in data science. The project will research engagement with game data in two informal, game-based learning scenarios: organic, self-directed, social play club, and structured, adult-facilitated data science clubs. The research will use a combination of quantitative and qualitative methods including surveys, focus groups, interviews, and gameplay and club observations. Project evaluation will determine how gameplay and club experiences impact participants' attitudes toward and interest in data-rich futures. The project holds the potential for broadening participation and promoting interest in data science by blending game-based learning with the rich social and adult mentoring through club participation. The results will be disseminated through conference presentations, scholarly publications, and social media. The game and facilitator materials will be designed for dissemination and made freely available to the public.
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TEAM MEMBERS:
Lisa HardyGary GoldbergerJennifer Kahn
Over a three-year period, the Lawrence Hall of Science will conduct research on the conversations of groups and families encountering an Augmented Reality (AR) experience in a museum environment. The research program will identify which design elements best facilitate conversations among groups of visitors, and determine if these conversations are both rich in scientific content and gender-balanced. The project will focus on four specific activities: understanding the learning associated with current AR activities, implementing design-based research to develop visitor conversation supports, designing and developing new AR programs with embedded conversation supports, and conducting iterative hypothesis-based research on how learning conversations happen in AR learning environments. The museum community will gain insights on design principles for supporting collaborative learning using AR. Project staff will disseminate results via conference workshops for museum professionals on designing AR to enhance family learning, and through publication in professional journals.
In 2019, the Advancing Informal STEM Learning program at the National Science Foundation funded the Advancing Ocean Science Literacy through Immersive Virtual Reality project, a pilot/feasibility and collaborative research project between The Hydrous and the Virtual Human Interaction Lab (VHIL) at Stanford University designed to investigate how immersive virtual reality using head mounted displays can enhance ocean literacy and generate empathy towards environmental issues, particularly among high school girls from different socio-economic backgrounds. The Hydrous was responsible for designing
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Collaborative robots – cobots – are designed to work with humans, not replace them. What learning affordances are created in educational games when learners program robots to assist them in a game instead of being the game? What game designs work best?
This NOVA multiplatform media initiative consisted of a 2-hour nationally broadcast PBS documentary, Polar Extremes; a 10-part original digital series, Antarctic Extremes; an interactive game, Polar Lab; accompanying polar-themed digital shorts, radio stories, text reporting, and social media content; a collection of educational resources on PBS LearningMedia; and community screening events and virtual field trips for science classrooms. Across multiple media platforms the project’s video content had nearly 13 million views.
The research explored the potential for informal STEM learning
Science Hunters is an outreach project which employs the computer game Minecraft to engage children with scientific learning and research through school visits, events, and extracurricular clubs. We principally target children who may experience barriers to accessing Higher Education, including low socioeconomic status, being the first in their family to attend university, and disability (including Special Educational Needs). The Minecraft platform encourages teamwork and makes science learning accessible and entertaining for children, irrespective of background. We employ a flexible approach
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TEAM MEMBERS:
Laura HobbsCarly StevensJackie HartleyCalum Hartley
This project tackles the urgent needs of the nation to engage people of all ages in computational thinking and help them learn basic computer science concepts with a unique and innovative approach of structured in-game computer program coding. Researchers will explore the design and development of a 3D puzzle-based game, called May's Journey, in which players solve an environmental maze by using the game's pseudo code to manipulate game objects. The game is designed to teach introductory but foundational concepts of computer programming including abstraction, modularity, reusability, and debugging by focusing players on logic and concepts while asking them to type simple instructions in a simplified programming language designed for novices. The game design in this project differs from today's block-based programming learning approaches that are often too far from actual computer code, and also differs from professional programming languages which are too complex for novices. The game and its embedded programming language learning are designed to be responsive to the progress of the learner throughout the game, transitioning from pseudo code to the embedded programming language itself. Error messages for debugging are also designed to be adaptive to players' behavior in the game. Using extensive log data collected from people playing the game, researchers can study how people learn computer programming. Such knowledge can advance understanding of the learning processes in computer programming education. Additionally, this work emphasizes the use of games as informal learning environments as they are accessible and fun, drawing attention and retention of many learners of different age groups with the potential to change attitudes towards computer programming across different populations. This project is co-funded by the STEM + Computing (STEM+C) program that supports research and development to understand the integration of computing and computational thinking in STEM learning, and the Advancing Informal STEM Learning (AISL) program that funds innovative research, approaches and resources for use in a variety of settings with its overall strategy to enhance learning in informal environments.
The project's formative and summative evaluation methods, including surveys, expert reviews of learners' computer code developed in the game, and interviews, are used to gauge learners' engagement as well as learning. In exploring learning, researchers aim to understand how players build implicit computer science knowledge through gameplay and how that gameplay relates to their performance on external transfer tasks. The project will answer the following three research questions: (1) Can observers reliably detect and label patterns of gameplay that provide evidence of learning or misconceptions regarding the four computer science constructs - abstraction, modularity, debugging and semantics - that learners exhibit playing May's Journey? (2) How does learner's implicit knowledge of these computer science constructs change over time and do those patterns vary by gender and prior programming experiences? (3) Is there a strong correlation between implicit learning measures and transfer of CS concepts: modularity, debugging, semantics, and abstraction? How do these correlations vary across elements of the game? This work will result in several outcomes: game design metaphors tested for their learning and engagement value that can be abstracted and embedded in different games. This project will also contribute patterns and an understanding of how people learn and engage in problem solving using concepts of abstraction, modularity, debugging and semantics. These outcomes will lead to advancement in knowledge in the learning sciences as well as the design of educational games that enrich STEM learning, particularly in programming and computational thinking. In addition, this project will engage female participants and underserved populations through partnering organizations including National Girls Collaborative project.
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.
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TEAM MEMBERS:
Magy Seif El-Nasr
resourceresearchGames, Simulations, and Interactives
It is a well-documented fact that women and minorities are currently underrepresented in STEM higher education degree programs and careers. As an outreach measure to these populations, we established the Hexacago Health Academy (HHA), an ongoing summer program. Structured as an informal learning environment with a strong youth initiated mentoring component, HHA uses game-based learning as both a means of health education and stimulating interest in careers in medicine among adolescents from underrepresented minority populations. In this article, we describe the 2015 session of the Hexacago
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TEAM MEMBERS:
Megan MacklinPatrick JagodaIan B. JonesMelissa Gilliam