Salt Lake City, Utah
June 23, 2018
June 23, 2018
July 27, 2018
Computing and Information Technology
Training for data skills is more critical now than ever before. For many researchers in industry and academic environments, a lack of training in data management, munging, analysis and visualization could lead to a lack of funding to support sustainable projects. Today’s researchers are often learning ‘as they go’ and need the flexibility of short, or self-paced learning experiences. Research results in educational pedagogy, however, stress the importance of guided instruction and learner-instructor interaction, which contrasts the need for ‘just in time’ training.
We’ve taken a distinctive approach to this problem, combining the power of guided instruction with the flexibility of short, focused learning experiences. Two-day, interactive, hands-on coding workshops train researchers to work with data, and have reached over 34,000 researchers, ranging from biologists to physicists to engineers and economists. Researchers have benefited from evidence-based teaching approaches to learning data organization (spreadsheets), cleaning (OpenRefine), management (SQL), analysis and visualization (R and Python).
This paper presents the long-term survey results showing the impact that short-format workshops have for increasing learner's skills and confidence in their coding abilities. Results show these two-day coding workshops increase researchers’ daily programming usage, and sixty-five percent of respondents have gained confidence in working with data and open source tools as a result of completing the workshop. The long-term assessment data showed a decline in the percentage of respondents that 'have not been using these tools' (-11.1%), and an increase in the percentage of those who now use the tools on a daily basis (+14.5%).
Jordan, K. L., & Corvellec, M., & Wickes, E. D., & Zimmerman, N. B., & Duckles, J. M., & Teal, T. K. (2018, June), Short-format Workshops Build Skills and Confidence for Researchers to Work with Data Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30960
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2018 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015