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.
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 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 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.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. Nationally, the US has a shortage of computer scientists; a big part of this problem is that girls are discouraged from learning computer science at a very young age. This project tries to address this problem by creating a videogame specifically oriented towards getting middle school girls interested in learning computer science concepts outside traditional programming classes. Based on evidence that stories provide a compelling way to present complicated technical subjects and that girls in particular respond to technology careers as a way to help others, the project is building a videogame called "Gram's House" in which social workers intend to move a fictional grandmother to a retirement home unless the player can outfit her home with sufficient technology for her to remain independent. Solving puzzles in the game requires learning core computer science concepts. Research studies will be conducted to determine whether the videogame is effective at getting girls interested in computer science, at teaching computer science concepts, and whether using stories makes videogames more effective for learning. This project based on an earlier successful prototype uses an iterative research-based design process including paper prototyping, playtesting, and focus groups (N=20) to create age appropriate activities, based on the CS Unplugged series, that support learning concepts from the Data, Internet, Algorithms, and Abstraction sections of the high-school level CS Principles curriculum. A quantitative, quasi-experimental design will be used to determine the overall effectiveness of teaching CS concepts under three types of game conditions: (a) games alone, (b) games with fictional settings, and (c) games with stories. A novel assessment instrument will be developed to assess content learning and qualitative observation using a standard observation protocol will be used to gauge interest and engagement. 70-80 middle school girls will be recruited for afterschool participation in the study in two states. As part of the dissemination efforts, a facilitator's guide, rule book, and materials such as maps and storyboards will be created and shared with the game. In addition, a workshop for computer science and other teachers who are interested in using games to teach CS concepts will be conducted.
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
Making Stuff Season Two is designed to build on the success of the first season of Making Stuff by expanding the series content to include a broader range of STEM topics, creating a larger outreach coalition model and a “community of practice,” and developing new outreach activities and digital resources. Specifically, this project created a national television 4-part miniseries, an educational outreach campaign, expanded digital content, promotion activities, station relations, and project evaluation. These project components help to achieve the following goals: 1. To increase public understanding that basic research leads to technological innovation; 2. To increase and sustain public awareness and excitement about innovation and its impact on society; and 3. To establish a community of practice that enhances the frequency and quality of collaboration among STEM researchers and informal educators. These goals were selected in order to address a wider societal issue, and an important element of the overall mission of NOVA: to inspire new generations of scientists, learners, and innovators. By creating novel and engaging STEM content, reaching out to new partners, and developing new outreach tools, the second season of Making Stuff is designed to reach new target audiences including underserved teens and college students crucial to building a more robust and diversified STEM workforce pipeline. Series Description: In this four-part special, technology columnist and best-selling author David Pogue takes a wild ride through the cutting-edge science that is powering a next wave of technological innovation. Pogue meets the scientists and engineers who are plunging to the bottom of the temperature scale, finding design inspiration in nature, and breaking every speed limit to make tomorrow's "stuff" "Colder," "Faster," "Safer," and "Wilder." Making Stuff Faster Ever since humans stood on two feet we have had the basic urge to go faster. But are there physical limits to how fast we can go? David Pogue wants to find out, and in "Making Stuff Faster," he’ll investigate everything from electric muscle cars and the America’s cup sailboat to bicycles that smash speed records. Along the way, he finds that speed is more than just getting us from point A to B, it's also about getting things done in less time. From boarding a 737 to pushing the speed light travels, Pogue's quest for ultimate speed limits takes him to unexpected places where he’ll come face-to-face with the final frontiers of speed. Making Stuff Wilder What happens when scientists open up nature's toolbox? In "Making Stuff Wilder," David Pogue explores bold new innovations inspired by the Earth's greatest inventor, life itself. From robotic "mules" and "cheetahs" for the military, to fabrics born out of fish slime, host David Pogue travels the globe to find the world’s wildest new inventions and technologies. It is a journey that sees today's microbes turned into tomorrow’s metallurgists, viruses building batteries, and ideas that change not just the stuff we make, but the way we make our stuff. As we develop our own new technologies, what can we learn from billions of years of nature’s research? Making Stuff Colder Cold is the new hot in this brave new world. For centuries we've fought it, shunned it, and huddled against it. Cold has always been the enemy of life, but now it may hold the key to a new generation of science and technology that will improve our lives. In "Making Stuff Colder," David Pogue explores the frontiers of cold science from saving the lives of severe trauma patients to ultracold physics, where bizarre new properties of matter are the norm and the basis of new technologies like levitating trains and quantum computers. Making Stuff Safer The world has always been a dangerous place, so how do we increase our odds of survival? In "Making Stuff Safer," David Pogue explores the cutting-edge research of scientists and engineers who want to keep us out of harm’s way. Some are countering the threat of natural disasters with new firefighting materials and safer buildings. Others are at work on technologies to thwart terrorist attacks. A next-generation vaccine will save millions from deadly disease. And innovations like smarter cars and better sports gear will reduce the risk of everyday activities. We’ll never eliminate danger—but science and technology are making stuff safer.
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TEAM MEMBERS:
WGBH Educational FoundationPaula Apsell
Discovering and understanding the temporal evolution of events hidden in text corpora is a complex yet critical task for knowledge discovery. Although mining event dynamics has been an important research topic leading to many successful algorithms, researchers, research and development managers, intelligence analysts and the general public are still in dire need of effective tools to explore the evolutionary trends and patterns. This exploratory project focuses on developing and validating a novel idea called narrative animation. Narrative animation uses animated visualizations to narrate, explore, and share event dynamics conveyed in temporally evolving text collections. Film art techniques are employed to leverage the animated visualizations in information organization and change detection, with the goals of enhancing analytical power and user engagement. A prototype system called CityStories is being developed to generate narrative animations of events in cities derived from web-based text. If this novel, risky research is successful, it is expected to yield fundamental results in narrative animation that can advance the current paradigm in information visualization and visual analytics by developing novel techniques in using animations for presenting and analyzing dynamic abstract data at a large scale. The pilot system CityStories system is expected provide a novel network platform for education, entertainment, and data analytics. It will engage general users such as students, teachers, journalists, bloggers, and many others in web information visualization and study. Results of this research will be disseminated through publications, the World Wide Web, and collaborations with researchers and analysts. The project web site (http://coitweb.uncc.edu/~jyang13/narrativeanimation/narrativeanimation.htm) will include research outcomes, publications, developed software, videos, and datasets for wide dissemination to public.
Bridging Earth and Mars (BEAM): Engineering Robots to Explore the Red Planet engages the general public and K-8 students in exhibits and programs designed to foster awareness of robotic technology, computer programming, and the challenges and opportunities inherent in NASA missions and S-STEM careers. The Saint Louis Science Center (SLSC) of St. Louis, Missouri is the lead institution and project site; partners include Washington University in St. Louis, Saint Louis University, the St. Louis regional FIRST Robotics organization, and the Challenger Learning Center-St. Louis. Project goals are to: 1) inform, engage, and inspire the public to appreciate NASA’s Mission by sharing findings and information about NASA’s missions to Mars; 2) ignite interest in S-STEM topics and careers for diverse K-8 students; and, 3) encourage students in grades 6-8 to sustain participation in educational experiences along the S-STEM careers pipeline. The SLSC will design and build a Martian surface and panorama where two rovers can be remotely controlled. Visitors in the McDonnell Planetarium will use controllers to program rover exploration of the Martian landscape in real-time. Visitors in SLSC’s Cyberville gallery, located one-quarter mile away across a highway-spanning enclosed bridge, will program the second rover with simulated time lag and view its movements via a two-way camera system. SLSC will organize and host a series of Innovation Workshops for K-8 students, each featuring teamwork-building engineering challenges from current and updated NASA-based science curricula. Participants will be recruited from SLSC community partners, which include community centers and faith-based programs for underserved families.
In this full-scale research and development project, Oregon State University (OSU), Oregon Sea Grant (OSG) and the Hatfield Marine Science Center Visitors Center (HMSCVC) is designing, developing, implementing, researching and evaluating a cyberlaboratory in a museum setting. The cyberlaboratory will provide three earth and marine science learning experiences with research and evaluation interwoven with visitor experiences. The research platform will focus on: 1) a climate change exhibit that will enable research on identity, values and opinion; 2) a wave tank exhibit that will enable research on group dynamics and problem solving in interactive engineering challenges; and 3) remote sensing exhibits that will enable research on visitor interactions through the use of real data and simulations. This project will provide the informal science educaton community with a suite of tools to evaluate learning experiences with emerging technologies using an iterative process. The team will also make available to the informal science community their answers to the following research questions: For the climate change exhibit, "To what extent does customizing content delivery based on real-time visitor input promote learning?" For the wave tank exhibit, "To what extent do opportunities to reflect on and share experiences promote STEM reasoning processes at a build-and-test exhibit?" For the data-sensing exhibit, "Can visitors' abilities to explain or use visualizations be improved by shaping their visual searches of images?" Mixed-methods using interviews, surveys, behavioral instruments, and participant observations will be used to evaluate the overall program. Approximately 60-100 informal science education professionals will discuss and test the viability of the exhibit's evaluation tools. More than 150,000 visitors, along with community members and local middle and high school students, will have the opportunity to participate in the learning experiences at the HMSCVC. This work contributes to the fields of cyberlearning and informal science education. This project provides the informal science education field with important knowledge about learning, customized content delivery and evaluation tools that are used in informal science settings.
Dinosaur Island is a 3D computer simulation with herds of sauropods and ceratopsians, flocks of pteranodons, hunting packs of carnivores and authentic plants and trees from over 65 million years ago all controlled by the user. You can think of Dinosaur Island as a digital terrarium in which a balance between the species and their diets must be maintained or the ecosystem will collapse. It is up to the user to determine how many and what kinds of dinosaurs and plants populate the island. Start off simple with just a few sauropods and some plants; but you better make sure that those big plant-eaters have the right food to eat. Did you know that many of the plants from the Jurassic were poisonous? You also need to make sure that there are some carnivores around to keep those sauropod herds in check; otherwise they will quickly outstrip their food supplies. Dinosaur Island is an Adventure: Yes, it is a bit like those famous movies because you can take 'photographs' of your dinosaurs, save them, post them and share them with your friends (you can even 'name' your dinosaurs, 'tag' them and track them throughout their lives). You will be able to walk' with the dinosaurs without being trampled under their giant feet. You will be able to follow along when a female T-Rex goes out to hunt without fear of becoming dinner for her family. You will be able to 'garden' by 'planting' vegetation where you like and watch the plants grow over time. Dinosaur Island is Educational: Our reputation – both in our 'serious games' and our contracted simulations – is for historical accuracy. All of our computer games, serious games and simulations are meticulously researched. Dinosaur Island will also include an extensive hyperlinked interactive 'booklet' about the dinosaurs that live on Dinosaur Island, their habitat and the plants and vegetation that grow there. Designasaurus, the game that we created in 1987, was named Educational Game of the Year. We will exploit the computer environment that is now available (more memory and faster machines allow for 3D rendering) to make Dinosaur Island even more of an immersive educational experience. Dinosaur Island is Fun: Playing with herds of dinosaurs is just good fun. You can 'pick them up' and move them around, plant crops for them to eat or you can even 'get inside' a dinosaur and control its actions. Regardless of your age, Dinosaur Island is guaranteed to be hours of fun.
This is the first report in a series on game “impact types.” We begin with the problem. Our field needs a better way to talk about impact — a deeper conversation that is more fundamentally inclusive and multi-disciplinary, yet still evidence-based. This report is a first step, revealing the basic fragmentation and documenting its harm. Not just beginners, but our best journals and public awards can inadvertently overlook full categories of impact, and disagree on what evidence looks like. Creativity is too easily and unhealthily pitted against impact design. Even the language of “double-blind