This paper presents synthesized research on where XR is most effective within a museum setting and what impact XR might have on the visitor experience.
The linked repository contains select resources from the SICIIT NSF project (Supporting Science and Engineering Identity Change in Immersive Interactive Technologies). The project did not reach its main objective, mainly due to disruptions caused by COVID, but we hope that the materials will be a useful resource for follow-up research.
DATE:
TEAM MEMBERS:
Stefan RankAyana AllenGlen MuschioAroutis FosterKapil Dandekar
The goal of our project is to develop strategies that effectively engage autistic adolescents in informal STEM learning opportunities that promote the self-efficacy and interest in STEM careers that will empower them to seek out career opportunities in STEM fields.
The research aims are to:
1. Identify evidence-based strategies to engage autistic youth in informal STEM learning opportunities that are well matched to their attentional profiles:
Hypothesis 1: Pedagogical strategies vary in how engaging they are for people with diverse attentional profiles; people with more focused
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?
AHA! Island is a new project that uses animation, live-action videos, and hands-on activities to support joint engagement of children and caregivers around computational thinking (CT) concepts and practices. Education Development Center (EDC), WGBH’s research partner for the project, conducted an impact study with 108 English-speaking families (4- to 5-year-old children and their families) to test the promise of this CT learning intervention.
DATE:
TEAM MEMBERS:
Marisa WolskyHeather LavigneJessica AndrewsAshley Lewis-PresserLeslie CuellarRegan VidiksisCamille Ferguson
Robots and robotics excite and challenge youths and adults. Unfortunately, the cost of purchasing robots or building useful robots is prohibitive for many low resource individuals and groups. This project will relieve this expense and provide an opportunity for resource limited individuals to experience the thrilling aspects of robotics by building a computer game that simulates robotic action. This project uses co-robotics wherein the participating player programs an avatar to assist in a symbiotic manner to achieve the goals of the game and participant. The game will provide access to the ideas and concepts such as programing, computational thinking and role assumption. The overarching goals are (1) to engage low-resource learners in STEM education through robotics in out-of-school spaces, and (2) to update the field of robotics-base STEM education to integrate the co-robotics paradigm.
This project is designed to gain knowledge on how co-robotics can be used in the informal education sector to facilitate the integration of computational science with STEM topics and to expand the educational use of co-robotics. Because the concept of co-robotics is new, a designed-based research approach will be used to build theoretical knowledge and knowledge of effective interventions for helping participants learn programing and computational thinking. Data will be collected from several sources including surveys, self-reports, in game surveys, pre and post-tests. These data collection efforts will address the following areas: Technology reliability, Resolution of cognitive tension around co-play, Accelerate discovery and initial engagement, Foster role-taking and interdependence with co-robots, Investigate social learning, and Validate measures using item response theory analysis. The DBR study questions are:
1.What design principles support the development of P3Gs that can effectively attract initial engagement in a free-choice OST space that offers large numbers of competing options? 2.What design principles support a P3G gameplay loop that enables learning of complex skills, computational thinking and co-robotics norms, and building of individual and career interest over the course of repeated engagement?
3.What design principles support P3Gs in attaining a high rate of re-engagement within low-resource OST settings? 4.What kinds of positive impact can P3Gs have on their proximal and distal environment? In addition, the project will research these questions about design: 1.What technical and game design features are needed to accommodate technological interruption? 2.What design elements or principles mitigate competition for cognitive resources between real-time play and understanding the co-robotic's behavior in relation to the code the player wrote for it? 3.What design elements are effective at getting learners in OST settings to notice and start playing the game? 4.What designs are effective at encouraging learners to engage with challenging content, particularly the transition from manual play to co-play? 5.What design elements help players develop a stake in the role the game offers? 6.What social behaviors emerge organically around a P3G prototype that is not designed to evoke specific social interactions?
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
The Computational Thinking in Ecosystems (CT-E) project is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance new approaches to, and evidence-based understanding of, the integration of computing in STEM teaching and learning. The project is a collaboration between the New York Hall of Science (NYSCI), Columbia University's Center for International Earth Science Information Network, and Design I/O. It will address the need for improved data, modeling and computational literacy in young people through development and testing of a portable, computer-based simulation of interactions that occur within ecosystems and between coupled natural and human systems; computational thinking skills are required to advance farther in the simulation. On a tablet computer at NYSCI, each participant will receive a set of virtual "cards" that require them to enter a computer command, routine or algorithm to control the behavior of animals within a simulated ecosystem. As participants explore the animals' simulated habitat, they will learn increasingly more complex strategies needed for the animal's survival, will use similar computational ideas and skills that ecologists use to model complex, dynamic ecological systems, and will respond to the effects of the ecosystem changes that they and other participants elicit through interaction with the simulated environment. Research on this approach to understanding interactions among species within biological systems through integration of computing has potential to advance knowledge. Researchers will study how simulations that are similar to popular collectable card game formats can improve computational thinking and better prepare STEM learners to take an interest in, and advance knowledge in, the field of environmental science as their academic and career aspirations evolve. The project will also design and develop a practical approach to programing complex models, and develop skills in communities of young people to exercise agency in learning about modeling and acting within complex systems; deepening learning in young people about how to work toward sustainable solutions, solve complex engineering problems and be better prepared to address the challenges of a complex, global society.
Computational Thinking in the Ecosystems (CT-E) will use a design-based study to prototype and test this novel, tablet-based collectable card game-like intervention to develop innovative practices in middle school science. Through this approach, some of the most significant challenges to teaching practice in the Next Generation Science Standards will be addressed, through infusing computational thinking into life science learning. CT-E will develop a tablet-based simulation representing six dynamic, interconnected ecosystems in which students control the behaviors of creatures to intervene in habitats to accomplish goals and respond to changes in the health of their habitat and the ecosystems of which they are a part. Behaviors of creatures in the simulation are controlled through the virtual collectable "cards", with each representing a computational process (such as sequences, loops, variables, conditionals and events). Gameplay involves individual players choosing a creature and habitat, formulating strategies and programming that creature with tactics in that habitat (such as finding food, digging in the ground, diverting water, or removing or planting vegetation) to navigate that habitat and survive. Habitats chosen by the participant are part of particular kinds of biomes (such as desert, rain forest, marshlands and plains) that have their own characteristic flora, fauna, and climate. Because the environments represent complex dynamic interconnected environmental models, participants are challenged to explore how these models work, and test hypotheses about how the environment will respond to their creature's interventions; but also to the creatures of other players, since multiple participants can collaborate or compete similar to commercially available collectable card games (e.g., Magic and Yu-Go-Oh!). NYSCI will conduct participatory design based research to determine impacts on structured and unstructured learning settings and whether it overcomes barriers to learning complex environmental science.
In this literature review, we seek to understand in what ways aspects of computer science education and making and makerspaces may support the ambitious vision for science education put forth in A Framework for K-12 Science as carried forward in the Next Generation Science Standards. Specifically, we examine how computer science and making and makerspace approaches may inform a project-based learning approach for supporting three-dimensional science learning at the elementary level. We reviewed the methods and findings of both recently published articles by influential scholars in computer
DATE:
TEAM MEMBERS:
Samuel SeveranceSusan CodereEmily MillerDeborah Peek-BrownJoseph Krajcik
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
DATE:
-
TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
The project team is developing and testing a prototype of a computer science game-based intervention intended for Grade 1 students. The prototype will include physical robots that will be designed and controlled on a game board by students through a blue-tooth enabled smartphone app. The product will include teacher resources and suggestions to facilitate classroom integration. In the Phase I pilot research with 5 classrooms and 150 students, the researchers will examine whether the prototype functions as planned, if teachers are able to implement it with small groups of students, and whether
The connections between technology applications of all sorts and human users that are ubiquitous in informal learning and assume a great deal about how the technology is used and how learning takes place. Much of the research in this area has been focused on game design and interaction. This project will examine this interaction involving the use of gestures that represent how individuals work with systems and large data sets that represent complex systems like the oceans, to understand how basic elements of a project with a 3-D type of design might enhance the user experience and increase the utility and learning that takes place by understanding the cognitive elements of these game like interactions in specific STEM related settings like museums.
This exploratory pathways project will investigate the use of interactive, gesture-enabled, multi-touch spheres for teaching about ocean systems in science centers and museums. The gesture-enabled aspect of the project will improve on interactive table-top installations which can frustrate users who use unexpected gestures and receive no response leading to brief interaction and abandonment without significant interaction or learning. The project will investigate ways in which unsupported gestures would still produce a system response which would encourage the user to remain at the installation and continue to investigate. The effect of multiple gestures will be supported by using natural mappings between gestures and interactions with the on-sphere data.
The project investigates theories of embodied cognition that support the notion that by engaging with global-scale datasets on a spherical display more effectively models the earth in a non-distorted manner and therefore will be more natural and allow users to develop a more accurate conceptual model of how data relates to itself and the globe. In this way, the project shares some aspects of understanding about learning through game play. The sphere will not be a fully developed game but will share characteristics of game play.
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.
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.
DATE:
-
TEAM MEMBERS:
Mitchel ResnickNatalie RuskJohn Maloney