Described by Wohlwend, Peppler, Keune and Thompson (2017) as “a range of activities that blend design and technology, including textile crafts, robotics, electronics, digital fabrication, mechanical repair or creation, tinkering with everyday appliances, digital storytelling, arts and crafts—in short, fabricating with new technologies to create almost anything” (p. 445), making can open new possibilities for applied, interdisciplinary learning in science, technology, engineering and mathematics (Martin, 2015), in ways that decenter and democratize access to ideas, and promote the construction
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TEAM MEMBERS:
Jill CastekMichelle Schira HagermanRebecca Woodland
This research paper critically explores the common definitions and perceptions of Making that may potentially disenfranchise traditionally underrepresented groups in engineering. Given the aspects of engineering design that are commonly integrated into Making activities, the Maker movement is increasingly recognized as a potentially transformative pathway for young people to developing early interest and understanding in engineering. However, “what counts” as Making can often be focused heavily on electronic-based and computational forms of Making, such as activities that involve 3D printers
The University of Texas at Austin's Texas Advanced Computing Center, Chaminade University of Honolulu (CUH), and the Georgia Institute of Technology will lead this NSF INCLUDES Design and Development Launch Pilot (DDLP) to establish a model for data science preparation of Native Hawaiian and Pacific Islander (NHPI) students at the high school and undergraduate levels. The project is premised on the promise of NHPI communities gaining access to, and the ability to work with, large data sets to tackle emerging problems in the Pacific. Such agency over "big data" sets that are relevant to Pacific issues, and contemporary skills in data science, analytics and visualization have the potential to be transformative for community improvement efforts. The effort has the potential to advance knowledge, instructional pedagogy and practices to improve NHPI high school and undergraduate students performance in and attraction to STEM education and careers.
The project team will work to: 1) Increase interest and proficiency in data science and visualization among NHPI high school and undergraduate students through a summer immersion experience that bridges computation and culture; 2) Build data science capacity at an NHPI serving undergraduate institution (CUH) through creation of a certificate program; and 3) Develop and expand partnerships with other organizations with related goals working with NHPI populations. The month-long summer training for 20 NHPI college students, and five NHPI high school students, takes place at CUH and focuses on data science, visualization, and virtual reality, including working on problem sets that require data science approaches and incorporate geographically, socially- and culturally-relevant research themes.
This presentation given at the 2013 Materials Research Society (MRS) Spring Meeting examines evidence for the effectiveness of STEM education programs at the National High Magnetic Field Laboratory.