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
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?
We developed a multi-touch interface for the citizen science video game Foldit, in which players manipulate 3D protein structures, and compared multi-touch and mouse interfaces in a 41-subject user study. We found that participants performed similarly in both interfaces and did not have an overall preference for either interface. However, results indicate that for tasks involving guided movement to dock protein parts, subjects using the multi-touch interface completed tasks more accurately with fewer moves, and reported higher attention and spatial presence. For tasks involving direct
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TEAM MEMBERS:
Thomas MuenderSadaab Ali GulaniLauren WestendorfClarissa VerishRainer MalakaOrit ShaerSeth Cooper
We explored the potential of science to facilitate social inclusion with teenagers who had interrupted their studies before the terms set for compulsory education. The project was carried out from 2014 to 2018 within SISSA (International School for Advanced Studies), a scientific and higher education institution in physics, mathematics and neurosciences, and was focused on the production of video games using Scratch. The outcomes are encouraging: through active engagement, the participants have succeeded in completing complex projects, taking responsibilities and interacting with people
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TEAM MEMBERS:
Simona CerratoFrancesca RizzatoLucia TealdiElena Canel
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
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TEAM MEMBERS:
Samuel SeveranceSusan CodereEmily MillerDeborah Peek-BrownJoseph Krajcik
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. This study will capitalize on the increased availability and affordability of immersive interactive technologies, such as Augmented Reality devices and virtual characters, to investigate their potential for benefitting STEM learning in informal museum contexts. This project will combine these technologies to create an Augmented Reality experience that will allow middle-school youth and their families to meet and assist a virtual crew on a historic ship at the Independence Seaport Museum in Philadelphia. The players in this game-like experience will encounter technologies from the turn of the 20th century, including steam power, electricity, and wireless communication. Crew members and technologies will be brought to life aboard the USS Olympia, the largest and fastest ship in the US Navy launched in 1892. The historic context will be positioned in relation to current day technologies in ways that will enable a change in interest towards technology and engineering in middle school-age youth. This will result in a testbed for the feasibility of facilitating short-term science, technology, engineering and mathematics (STEM) identity change with interactive immersive technologies. A successful feasibility demonstration, as well as the insights into design, could open up novel ways of fostering STEM interest and identity in informal learning contexts and of demonstrating the impact of this approach. The potential benefit to society will rest in the expected results on the basic science regarding immersive interactive technologies in informal learning contexts as well as in demonstrating the feasibility of the integrated approach to assessment.
This project will use a living lab methodology to evaluate interactive immersive technologies in terms of their support for STEM identity change in middle-school age youth. The two-year design-based research will iteratively develop and improve the measurement instrument for the argument that identity change is a fundamental to learning. A combination of Augmented Reality and intelligent virtual agents will be used to create an interactive experience--a virtual living lab--in an informal museum learning exhibit that enables change interests towards technology and engineering and provides short-term assessment tools. In collaboration with the Independence Seaport Museum in Philadelphia, the testbed for the approach will be an experience that brings to life the technologies of the early 20th century aboard a historic ship. Through the application of Participatory Action Research techniques, intelligent virtual agents interacting with youth and families will customize STEM information relating to the ship's mission and performance. Topics explored will make connections with current day technologies and scientific understanding. Mixed-methods will be used to analyze interactions, interview and survey data, will form the basis for assessing the impact on youth's STEM interests. The elicitation method specifically includes assessment metrics that are relevant to the concept of learning as identity change. This assessment, through immersive interactive technologies, will target the priority areas of engagement in STEM as well as the measurement of outcomes.
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TEAM MEMBERS:
Stefan RankAyana AllenGlen MuschioAroutis FosterKapil Dandekar
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.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
The Environmental Scientist-in-Residence Program will leverage NOAA s scientific assets and personnel by combining them with the creativity and educational knowledge of the pioneer hands-on science center. To do this, the program will embed NOAA scientists in a public education laboratory at the Exploratorium. Working closely with youth Explainers, exhibit developers, and Web and interactive media producers at the Exploratorium, NOAA scientists will share instruments, data, and their professional expertise with a variety of public audiences inside the museum and on the Web. At the same time the scientists will gain valuable skills in informal science communication and education. Through cutting-edge iPad displays, screen-based visualizations, data-enriched maps and sensor displays, and innovative interactions with visitors on the museum floor, this learning laboratory will enable NOAA scientists and Exploratorium staff to investigate new hands-on techniques for engaging the public in NOAA s environmental research and monitoring efforts.
Focusing on climate change and its impact on coastal zones and marine life, Visualizing Change will build educator capacity in the aquarium community and informal science education field. Building on NOAA datasets and visualizations, we will provide interpreters with strategic framing communication tools and training using the best available social and cognitive research so that they can become effective climate change educators. Objectives are to (1) Develop and test four exemplary interpretive "visual narratives" that integrate research-based strategic communication with NOAA data visualization resources; (2) Test the application of the visual narratives in a variety of geographic regions, institution types (aquarium, science center, etc.), and using multiple technology platforms (Science on a Sphere, Magic Planet portable globe display, iPad/tablets, and video walls); (3) Build a professional development program for climate change interpretation with data visualization; and (4) Leverage existing networks for dissemination and peer support.
This poster was presented at the 2016 Advancing Informal STEM Learning (AISL) PI Meeting held in Bethesda, MD on February 29-March 2. How can we come to terms with the complex social impact of new cutting-edge fields like synthetic biology, robotics, genetics and
machine learning? In order to manage these transformative changes, people not only need to understand science and technology, but also to actively participate in shaping a world where our ability to control the building blocks of life and cognition is vastly expanded. The Transmedia Museum will use the interactive, engaging nature of
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.