Jordan, Kari
2019-05-08
<p>Training for data skills is more critical now than ever before. In the past decade, we’ve seen the creation of certification and graduate programs for data science, as well as a plethora of interactive, self-paced online learning platforms. Today’s learners are often learning on the job and need the flexibility of short, or self-paced learning experiences. Research results, however, stress the importance of guided instruction and learner-instructor interaction.</p>
<p>Building confidence to work with data requires a distinctive approach. Combining the power of guided instruction with the flexibility of short, focused learning experiences has the potential to achieve equity among open source community practitioners.</p>
<p>This talk explores factors that have increased skills and confidence coding practices. Implications and growth opportunities for building confidence and achieving equity and open source are also explored.</p>
https://doi.org/10.5281/zenodo.2690094
oai:zenodo.org:2690094
eng
Zenodo
https://zenodo.org/communities/csvconfv4
https://doi.org/10.5281/zenodo.2690093
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
The Carpentries
Self-Efficacy
Imposter Syndrome
Data Skills
Building Confidence, Achieving Equity: A Call to Action for Open Source Communities
info:eu-repo/semantics/lecture