Rockman et al (REA), a San Francisco-based research and evaluation firm, conducted the external evaluation for Youth Radio's DO IT! program, which was funded by the National Science Foundation. Building upon Youth Radio's previous Science and Technology Program, the DO IT! initiative consisted of three primary components that promoted STEM (science, technology, engineering, and mathematics) learning by training underserved youth in cutting-edge digital technologies: (1) Brains and Beakers: Young people hosted a line-up of investigators and inventors for demo-dialogues at Youth Radio's studios
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Rockman et al | Youth RadioKristin BassJulia Hazer
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
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
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 summarizes evaluative findings from a project titled “What Curiosity Sounds Like: Discovering, Challenging, and Sharing Scientific Ideas” (a.k.a.: “Discovery Dialogues”). The project, a Full-Scale development project funded by the National Science Foundation as part of its Advancing Informal Science Learning (AISL) program, explored new ways to actively engage both lay and professional audiences, and foster meaningful communication between scientists and the general public. Appendix includes survey and interview questions.