Abstract
The widespread and growing use of analytics has highlighted the need for more data savvy students. One recently identified aspect of data literacy is the awareness of ambiguity in data. This paper outlines a method and initial results for raising awareness of data ambiguity in a short, one lesson, active learning format suitable for business or computer science courses. The paper also includes a summary of prior research on ambiguity, data literacy taxonomies, implications, and suggestions for further research.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Communications of the Association for Information Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
