This project entails the creation of a coordinated colony of robotic bees, RoboBees. Research topics are split between the body, brain, and colony. Each of these research areas is drawn together by the challenges of recreating various functionalities of natural bees. One such example is pollination: Bees coordinate to interact with complex natural systems by using a diversity of sensors, a hierarchy of task delegation, unique communication, and an effective flapping-wing propulsion system. Pollination and other agricultural tasks will serve as challenge thrusts throughout the life of this project. Such tasks require expertise across a broad spectrum of scientific topics. The research team includes experts in biology, computer science, electrical and mechanical engineering, and materials science, assembled to address fundamental challenges in developing RoboBees. An integral part of this program is the development of a museum exhibit, in partnership with the Museum of Science, Boston, which will explore the life of a bee and the technologies required to create RoboBees.
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Robert WoodRadhika NagpalJ. Gregory MorrisettGu-Yeon WeiJoseph Ayers
In 2013 and 2014, the Museum of Science (MOS) partnered with Dr. Rob Wood’s lab at Harvard University’s School of Engineering and Applied Sciences (SEAS) to create an exhibition about Wood’s Robotic Bees (RoboBees) project. The Microrobotics Takes Flight exhibition (referred to in the original grant as the RoboBees exhibition) consists of three interactive components and an introductory section. The three interactive components are modeled on the three different engineering teams working on the RoboBees project: the Brain, the Body, and the Colony teams. The purpose of the evaluation was
This Science Learning+ Planning Project will develop a prototype assessment tool (based on a mobile technology platform) to map STEM learning experiences across different learning ecologies (e.g. science centers, mass media, home environment) and to develop research questions and designs for a Phase 2 Science Learning+ proposal. The tool will focus on the impact of the learning ecologies on knowledge, interest, identity and reasoning rather than emphasize learning in a specific content area. The proposing team will develop and conduct a small scale usability study during the planning period, which will inform what is proposed in the Phase 2 research. A key focus of the planning period will be to identify and develop the theoretical constructs (i.e., outcomes) to be measured by the prototype App. As a starting point, the project will start with four of the six strands identified in Learning Science in Informal Environments (National Research Council, Bell et al., 2009): (1) interest triggered by a STEM experience; (2) understanding scientific knowledge; (3) engaging in scientific reasoning; and (4) identifying with the scientific enterprise. Discussion among the project partners during the planning process will revolve around how these strands should be measured in the Phase 2 research across ecologies. The measurement tool will assess the goal(s) that people set as they engage in STEM learning within each ecology and will measure the individuals' duration and level of engagement. The project will strive to utilize measures that: (1) are nonobtrusive; (2) are embedded in STEM experiences; (3) can be used across ecologies; (4) can be scaled for other ecologies than the ones examined in Phase 2 research; and (5) will be easy to use by researchers and practitioners.
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TEAM MEMBERS:
Bradley MorrisJohn DunloskyGreat Lakes Science CenterUniversity of LimerickIdeaStream (UK)Irish Independent newspaper
Based on the number of visitors annually, zoos and aquariums are among the most popular venues for informal STEM learning in the United States and the United Kingdom. Most research into the impacts of informal STEM learning experiences at zoos and aquariums has focused on short-term changes in knowledge, attitudes and behaviors. This Science Learning+ project will identify the opportunities for and barriers to researching the long-term impacts of informal STEM learning experiences at zoos and aquariums. The project will address the following overarching research question: What are and how do we measure the long-term impacts of an informal STEM learning experience at a zoo and aquarium? While previous research has documented notable results, understanding the long-term impacts of zoo and aquarium learning experiences will provide a deeper and more nuanced understanding of the impact of these programs on STEM knowledge, skills and application. This study will use a participatory process to identify: (1) the range of potential long-term impacts of informal science learning experiences at zoos and aquariums; (2) particular activities that foster these impacts; and (3) opportunities for and barriers to measuring those impacts. First, an in-depth literature review will document previous research efforts to date within the zoo and aquarium community. Second, a series of consultative workshops (both in-person and online) will gather ideas and input from practitioners, researchers, and other stakeholders in zoo and aquarium education. The consultative workshops will focus on two questions in particular: (1) What are the different types and characteristics of informal science learning experiences that take place at zoos and aquariums? and (2) What are the long-term impacts zoos and aquariums are aiming to have on visitors in relation to knowledge, attitudes, skills and behaviors/actions? Finally, visitor surveys at zoos and aquariums in the US and UK will be conducted to gather input on what visitors believe are the long-term impacts of an informal STEM learning opportunity at a zoo or aquarium. The data gathered through all of these activities will inform the design of a five-year, mixed-methods study to investigate long-term impacts and associated indicators of an informal STEM learning experience at a zoo or aquarium. One of the aims of the five-year study will be to test instruments that could eventually be used by the global zoo and aquarium community to measure the long-term impacts of informal STEM learning programs. Designing tools to better understand the long-term impacts of informal STEM learning at zoos and aquariums will contribute to our ability to measure STEM learning outcomes. Additional benefits include improved science literacy and STEM skills amongst visitors over time and an understanding of how education programs contribute to wildlife conservation worldwide.
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TEAM MEMBERS:
Brian JohnsonStanford UniversityLancaster UniversitySarah ThomasNicole ArdoinMurray Saunders
This design case explores the affordances of gigapixel image technology for science communication and learning in museum settings through the iterative development of an explorable image viewer to engage visitors in an archaeological exhibit. We reflect on the series of user studies, prototype iterations, and design decisions taken to optimize navigation, annotation and exploration in this zoomable user interface. We highlight a set of design precedents, interaction frameworks, and content structuring approaches, while detailing the development of a media rich digital annotation strategy to
To better help museum visitors make sense of large data sets, also called “Big Data”, this study focused on the types of visual representations visitors recognize, and how they make meaning (or not) of various visuals. Individual adults and youths were shown five different data visualizations (one from each of five categories), one at a time, and asked if the visualization looked familiar and how it was read. This study found that Context and previous experience matters. Participants of all ages are familiar with a wide variety of visual displays of data. If a participant encounters a visual
This article describes the development of Human +, an exhibition designed to explore the role of technology in daily life explored through the lens of technologies for people with disabilities. Reflecting the design cycle of Participatory Action Design, Human + integrated participation from people with disabilities, both as users and as designers of technology.
To better help museum visitors make sense of large data sets, also called “big data”, this study focuses on what museum visitors felt individual layers of a visual (alone and in combination with other layers) were communicating to them as the visual was constructed or deconstructed layer by layer. A second, smaller study, collected data to better understand how adult visitors would construct large data visualizations. This study was concerned with how people make sense of “big data” in their daily lives and how they engage with reference systems. The primary study used four different “big data
To better understand how audiences in public spaces, in this case those in a museum setting, relate to and make sense of the phrases “Big Data” and “Data Visualizations”, this study investigated visitors understanding of these terms. This formative study used intercepts; approaching adult visitors and inviting them to participate in a very brief interview. If the person agreed, they were asked additional questions. The first question asked about awareness of the phrase, “Big Data” or for a very small comparison group, “Data Visualization.” Visitors were then asked “How would you explain “Big
It is all very well to note the hyperbole about patents and ‘intellectual property’ in the recent battles between technology companies such as Apple, Samsung and HTC. But how can museums productively use collection items marked with a patent beyond workaday tasks of identification and cataloguing? We argue that information on patents can enhance visitors’ critical engagement with museum displays; complex ownership claims and counter-claims in patent disputes can underpin lively narratives based around museum objects. Asking why some objects and not others were patented, and how historical
To better help museum visitors make sense of large data sets, also called “big data”, this study investigated if there were generalizable ways in which visitors engage with and then make meaning of such data sets. This front-end study was designed to explore if there were different, distinct, and repeatable patterns intuited by individuals as they work with large data sets. This was a descriptive, process method using a complex card sort with an interview. Each card had the name of one food item written on it. Food items were diverse, including eggs, crackers, lasagna, apples, tofu and almonds
This report from the National Research Council explores how learning changes the physical structure of the brain, how existing knowledge affects what people notice and how they learn, the amazing learning potential of infants, and the relationship between classroom learning and learning in everyday settings such as community and the workplace. It identifies learning needs and opportunities for teachers and provides a realistic look at the role of technology in education.