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SolarSMART Engineering Perceptions 2019 Study dataset provides results from a perception analysis with 42 Engineering students from an advanced Energy Technologies course at the University of Georgia regarding their perceptions of consumer adoption behaviors of multiple clean and renewable energy technologies. The dataset includes the following: demographic information for each participant, draw-a-map responses for their perceptions of where consumers adopt and do not adopt renewable and clean energy technologies (e.g., bioenergy, geothermal, solar, wave, and wind). Respondents were also asked questions about their intended plans after graduation, as well as what coursework they took as part of their studies that was not STEM in nature.
expert perceptions, inclusive innovation, technology adoption
expert perceptions, inclusive innovation, technology adoption
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 2 |

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