Artificial intelligence (AI) is in many of our everyday activities—from unlocking phones to running Internet searches to parking cars. Yet, most instruction on how AI works is only in computer science courses. The unique role that AI plays in making decisions that affect human lives heightens the need for education approaches that promote public AI literacy. Little research has been done to understand how we can best teach AI in informal learning spaces. This project will engage middle school age youth in learning abouts AI through interaction with museum exhibits in science and technology centers. The exhibits employ embodied interactions and creative making activities that involve textiles, music making, and interactive media. The research will build on three exhibit prototypes that teach about concepts including bias in data in machine learning, AI decision-making processes, and how AI represents knowledge. Female-identifying and Title 1 youth will be recruited as participants during the exhibit design iterations and testing. 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
Researchers will explore two key research questions: 1) How can the design of interactive museum exhibits encourage interest development in and learning about AI among learners without a Computer Science background by using embodiment and creative making? and 2) How do embodied interaction and creative making mediate learning about AI in informal learning environments? The project will take a design-based research approach, iteratively building on existing exhibit prototypes and testing them in-situ with learners. Data sources and modes of analysis will include retrospective surveys to assess interest, content knowledge gain, creativity, learning talk analysis of audio recordings, and coding of embodied movements in video recordings. Learning talk analysis will identify instances of joint sensemaking during naturalistic interactions with our exhibit to reveal connections between sensemaking talk; learners' behaviors and embodied actions during real-time collaborative knowledge building; and outcomes in knowledge, interest, and creativity measures as elicited in retrospective surveys. The final set of exhibits will be rigorously evaluated with over 500 museum visitors. The key contributions of this work will include a set of rigorously tested exhibits, publicly available exhibit designs, a set of design guidelines for developing AI literacy museum exhibits, and an improved understanding of the relationship between AI-related learning and interest development, embodiment, and creativity.
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TEAM MEMBERS:
Brian MagerkoDuri LongJessica Roberts
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.
The concern with a "digital divide" has been transformed from one defined by technological access to technological prowess--employing technologies for more empowered and generative uses such as learning and innovation. Participation in technological fluency-building activities among high school students in a community heavily involved in the technology industry was investigated in a study of 98 high school seniors enrolled in AP-level calculus. Findings indicated substantial variability in history of fluency-building experiences despite similar levels of access. More and less experienced
Investigators from the MIT Media Lab will develop and study a new generation of the Scratch programming platform, designed to help young people learn to think creatively, reason systematically, and work collaboratively -- essential skills for success in the 21st century. With Scratch, young people (ages 8 and up) can program their own interactive stories, games, animations, and simulations, then share their creations with others online. Young people around the world have already shared more than 1 million projects on the Scratch community website (http://scratch.mit.edu). The new generation, called Scratch 2.0, will be fully integrated into the Internet, so that young people can more seamlessly share and collaborate on projects, access online data, and program interactions with social media. The research is divided into two strands: (1) Technological infrastructure for creative collaboration. With Scratch 2.0, people will be able to design and program new types of web-based interactions and services. For example, they will be able to program interactions with social-media websites (such as Facebook), create visualizations with online data, and program their own collaborative applications. (2) Design experiments for creative collaboration. As the team develops Scratch 2.0, they will run online experiments to study how their design decisions influence the ways in which people collaborate on creative projects, as well as their attitudes towards collaboration. This work builds on a previous NSF grant (ITR-0325828) that supported the development of Scratch. Since its public launch in 2007, Scratch has become a vibrant online community, in which young people program and share interactive stories, games, animations, and simulations - and, in the process, learn important computational concepts and strategies for designing, problem solving, and collaborating. Each day, members of the Scratch community upload nearly 1500 new Scratch projects to the website - on average, a new project almost every minute. In developing Scratch 2.0, the team will focus on two questions from the NSF Program Solicitation: (1) Will the research lead to the development of new technologies to support human creativity? (2) Will the research lead to innovative educational approaches in computer science, science, or engineering that reward creativity?
Intellectual Merit: The intellectual merit of the project is based on its study of how new technologies can foster creativity and collaboration. The investigators will conduct design experiments to examine how new features of Scratch 2.0 engage young people in new forms of creative expression, collaboration, learning, and metadesign. Young people are already interacting with many cloud-based services (such as YouTube and Facebook). But Scratch 2.0 is fundamentally different in that it aims to engage people in programming their own projects and activities in the cloud. With Scratch 2.0, young people won't just interact with the cloud, they will create in the cloud. The goal is to democratize the development of cloud-based activities, so that everyone can become an active contributor to the cloud, not just a consumer of cloud-based services. This development and study of Scratch 2.0 will lead to new insights into strategies for engaging young people in activities that cultivate collaboration and creativity. Broader Impacts: The broader impact of the project is based on its ability to broaden participation in programming and computer science. The current version of Scratch has already helped attract a broader diversity of students to computer science compared to other programming platforms. The investigators expect that the collaboration and social-media features of Scratch 2.0 will resonate with the interests of today's youth and further broaden participation. Integration of Scratch into the introductory computer science course at Harvard led to a sharp reduction in the number of students dropping the course, and an increase in the retention of female students. There have been similar results in pre-college courses. The National Center for Women & Information Technology (NCWIT) calls Scratch a promising practice for increasing gender diversity in IT.