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
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?
The Young Developers program is an after school program conceptualised and run by The P-STEM Foundation. It introduces computer programming and design concepts to high school age students from South African historically disadvantaged communities, where the majority of students have had little or no interaction with computers. Young Developers uses Self Organised Learning Methodology and involves introducing a series of increasingly complex challenges / questions that the participants have to collaboratively solve. The first module is run in Scratch with the final objective being the creation of a racing car game. The second module is run in Python using Turtle graphics with an objective of creating an animation. This program runs as pods in each of the communities that the P-STEM foundation works in. Each pod has up to 30 teens from the age of 10 to 18. Each pod is peer led and peer driven, and the pace of learning is determined by the participants. In 2015, we would also like to introduce national competitions which pods participate in against other pods.
This poster was shared at the 2014 AISL PI meeting, August 20-22. It describes the goals and early (pre-award) work on the GrACE project. This project aims to teach computational thinking and fostering computer science attitude change among middle school students through a procedurally generated puzzle game.
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Northeastern UniversityGillian SmithCasper Harteveld
Northeastern University will design, test, and study GrACE, a procedurally generated puzzle game for teaching computer science to middle school students, in partnership with the Northeastern Center for STEM Education and the South End Technology Center. The Principal Investigators will study the effect of computer generated games on students' development of algorithmic and computational thinking skills and their change of perception about computer science through the game's gender-inclusive, minds-on, and collaborative learning environment. The teaching method has potential to significantly advance the state of the art in both game-based learning design and yield insights for gender-inclusive teaching and learning that could have broad impact on advancing the field of computer science education. Development and evaluation of GrACE will consist of two, year-long research phases, each with its own research question. The first, design and development, phase will focus on how to design a gender-inclusive, educational puzzle game that fosters algorithmic thinking and positive attitude change towards computer science. The content generator will be created using Answer Set Programming, a powerful approach that involves the declarative specification of the design space of the puzzles. The second phase will be an evaluation that studies, by means of a mixed-methods experimental design, the effectiveness of incorporating procedural content generation into an educational game, and specifically whether such a game strategy stimulates and improves minds-on, collaborative learning. Additionally, the project will explore two core issues in developing multiplayer, collaborative educational games targeted at middle school students: what typical face-to-face interactions foster collaborative learning, and what gender differences exist in how students play and learn from the game. The project will reach approximately 100 students in the Boston area, with long-term goals of reaching students worldwide, once the game has been tested with a local audience. Results of the project will yield a new educational puzzle game that can teach algorithmic thinking and effect attitude change regarding computer science. Through the process of creating a gender-inclusive game to teach computer science, it will provide guidelines for future educational game projects. Beyond these individual project deliverables, it will improve our understanding of the potential for procedural content generation to transform education, through its development of a new technique for generating game content based on supplying educational objectives.
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TEAM MEMBERS:
Northeastern UniversityGillian SmithCasper Harteveld
The article focuses on an educational program called Game Design Through Mentoring and Collaboration. The program is a partnership between McKinley Tech and George Mason University (GMU) in Fairfax, Virginia. Through this program the teachers ensure students understand the pathways needed for participation in the science, technology, engineering, and math (STEM) enterprise. Kevin Clark, is the principal investigator of the program.
The Cryptoclub: Cryptography and Mathematics Afterschool and Online is a five-year project designed to introduce middle school students across the country to cryptography and mathematics. Project partners include the Young Peoples Project (YPP), the Museum of Science and Industry in Chicago, and Eduweb, an award-winning educational software design and development firm. The intended impacts on youth are to improve knowledge and interest in cryptography, increase skills in mathematics, and improve attitudes towards mathematics. The secondary audience is leaders in afterschool programs who will gain an increased awareness of cryptography as a tool for teaching mathematics and adopt the program for use in their afterschool programs. Project deliverables include online activities, online cryptography adventure games, interactive offline games, a leader\'s manual, and training workshops for afterschool leaders. The project materials will be developed in collaboration with YPP staff and pilot tested in Year 3 at local afterschool programs and YPP sites in Chicago in addition to four national sites. Field testing and dissemination occurs in Year 4 at both local sites in Chicago and national locations such as afterschool programs, science centers, and community programs. Six 3-day training workshops will be provided (2 per year in Years 3-5) to train afterschool leaders. It is anticipated that this project will reach up to 11,000 youth, including underserved youth in urban settings, and 275 professional staff. Strategic impact resulting from this project includes increased awareness of cryptography as a STEM topic with connections to mathematics as well a greater understanding of effective strategies for integrating and supporting web-based and offline activities within informal learning settings. The Cryptoclub project has the potential to have a transformative impact on youth and their understanding of cryptography and may serve as a national model for partnerships between afterschool and mentoring programs.
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TEAM MEMBERS:
Janet BeissingerSusan GoldmanDaria TsoupikovaBonnine Saunders
The focus of this paper is to turn our attention to the arts as an understudied area within the computer-supported collaborative learning community and examine how studying the learning of arts and programming can open new avenues of research. We document, describe, and analyze urban youths’ media arts practices within the context of the design studio, particularly by focusing on how collaboration, computation, and creativity play out within this context. We utilize a mixed methods design that draws upon three approaches: (1) participant observations; (2) media arts object analyses; and (3)