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
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
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
resourceprojectGames, Simulations, and Interactives
EMERGE in STEM (Education for Minorities to Effectively Raise Graduation and Employment in STEM) is a NSF INCLUDES Design and Development Launch Pilot. This project addresses the broadening participation challenge of increasing participation of women, the at-risk minority population, and the deaf in the STEM workforce. The project incorporates in and out-of-school career awareness activities for grades 4-12 in a high poverty community in Guilford County, North Carolina. EMERGE in STEM brings together a constellation of existing community partners from all three sectors (public, private, government) to leverage and expand mutually reinforcing STEM career awareness and workforce development activities in new ways by using a collective impact approach.
This project builds on a local network to infuse career exposure elements into the existing mutually reinforcing STEM activities and interventions in the community. A STEM education and career exposure software, Learning Blade, will be used to reach approximately 15,000 students. A shared measurement system and assessment process will contribute to the evaluation of the effectiveness of the collective impact strategies, the implementation of mutually reinforcing activities across the partnership and the extent to which project efforts attract students to consider STEM careers.
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TEAM MEMBERS:
Gregory MontyMargaret KanipesMalcolm SchugSteven Jiang
Women continue to be underrepresented in computer science professions. In 2015, while 57% of professional occupations in the U.S. were held by women, only 25% of computing occupations were held by women. Furthermore, the share of computer science degrees going to women is smaller than any STEM field, even though technology careers are the most promising in terms of salaries and future growth. Research suggests that issues contributing to this lack of computer science participation begin early and involve complex social and environmental factors, including girls' perception that they do not belong in computer science classes or careers. Computer science instruction often alienates girls with irrelevant curriculum; non-collaborative pedagogies; a lack of opportunities to take risks or make mistakes; and a heavy reliance on lecture instead of hands-on, project-based learning. Computer science experiences that employ research-based gender equitable best practices, particularly role modeling, can help diminish the gender gap in participation. In response to this challenge, Twin Cities PBS (TPT), the National Girls Collaborative (NGC) and Code.org will lead Code: SciGirls! Media for Engaging Girls in Computing Pathways, a three-year project designed to engage 8-13 year-old girls in coding through transmedia programming which inspires and prepares them for future computer science studies and career paths. The project includes five new PBS SciGirls episodes featuring girls and female coding professionals using coding to solve real problems; a new interactive PBSKids.org game that allows children to develop coding skills; nationwide outreach programming, including professional development for informal educators and female coding professionals to facilitate activities for girls and families in diverse STEM learning environments; a research study that will advance understanding of how the transmedia components build girls' motivation to pursue additional coding experiences; and a third-party summative evaluation.
Code: SciGirls! will foster greater awareness of and engagement in computer science studies and career paths for girls. The PBS SciGirls episodes will feature girls and female computer science professionals using coding to solve real-world challenges. The project's transmedia component will leverage the television content into the online space in which much of 21st century learning takes place. The new interactive PBSKids.org game will use a narrative framework to help children develop coding skills. Drawing on narrative transportation theory and character identification theory, TPT will commission two exploratory knowledge-building studies to investigate: To what extent and how do the narrative formats of the Code: SciGirls! online media affect girls' interest, beliefs, and behavioral intent towards coding and code-related careers? The studies aim to advance understanding of how media builds girls' motivation to pursue computer science experiences, a skill set critical to building tomorrow's workforce. The project team will also raise educators' awareness about the importance of gender equitable computer science instruction, and empower them with best practices to welcome, prepare and retain girls in coding. The Code: SciGirls! Activity Guide will provide educators with a relevant resource for engaging aspiring computer scientists. The new media and guide will also reside on PBSLearningMedia.org, reaching 1.2 million teachers, and will be shared with thousands of educators across the SciGirls CONNECT and National Girls Collaborative networks. The new episodes are anticipated to reach 92% of U.S. TV households via PBS, and the game at PBSKids.org will introduce millions of children to coding. The summative evaluation will examine the reach and impact of the episodes, game and new activities. PIs will share research findings and project resources at national conferences and will submit to relevant publications. This 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. 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.
The mixed methods randomized experimental study assessed a model of engagement and education that examined the contribution of SciGirls multimedia to fifth grade girls’ experience of citizen science. The treatment group (n = 49) experienced 2 hours of SciGirls videos and games at home followed by a 2.5 hour FrogWatch USA citizen science session. The control group (n = 49) experienced the citizen science session without prior exposure to SciGirls. Data from post surveys and interviews revealed that treatment girls, compared to control girls, demonstrated significantly greater interest in their
Computer Science (CS) education at the middle school level using educational games has seen recent growth and shown promising results. Typically these games teach the craft of programming and not the perspectives required for computational thinking, such as abstraction and algorithm design, characteristic of a CS curriculum. This research presents a game designed to teach computational thinking via the problem of minimum spanning trees to middle school students, a set of evaluation instruments, and the results of an experimental pilot study. Results show a moderate increase in minimum spanning