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Since November 17, 2015, Software and Data Carpentry have collected information on learner demographics, perception of tools, and confidence in working with data. As we continue in our goal to streamline processes as The Carpentries, the Assessment Team completed an analysis of the pre- and post-workshop surveys for both Software Carpentry and Data Carpentry. The goal of this analysis is to understand the impact our workshops are having on learners, and how we can improve our surveys and assessment infrastructure. This report covers the workshops from November 17, 2015 to May 21, 2018 for Software Carpentry, and from August 07, 2017 to May 11, 2018 for Data Carpentry. As an overview, 1259 and 852 learners have responded to Data Carpentry’s pre- and post-workshop surveys respectively, while 14154 and 6458 have responded to Software Carpentry’s. This report includes the following: • Motivation for Attending Carpentries Workshops • Workshop Type and Perception of Workshop Environment/Experience • Effect of Workshops on Learners’ Self-Reported Perspectives, Skills, and Confidence• Ability to Perform Computing Tasks • Demographics • Summary
Motivation, Programming, Computing, Active Learning, Assessment
Motivation, Programming, Computing, Active Learning, Assessment
| 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). | 1 | |
| 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 |
| views | 139 | |
| downloads | 40 |

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