| Abstract: | The development of a student's ability to make data-driven decisions has become a focus in higher education (Schield 1999 Schield, M. 1999. “Statistical Literacy: Thinking Critically about Statistics.” Of Significance: A Topical Journal of the Association of Public Data Users 1 (1): 15–21. Google Scholar]; Stephenson and Caravello 2007 Stephenson, E., and P. Caravello. 2007. “Incorporating Data Literacy into Undergraduate Information Literacy Programs in the Social Sciences; a Pilot Project.” Reference Services Review 35 (4):525–40. doi:10.1108/00907320710838354.Crossref] , Google Scholar]). Data literacy, the ability tounderstand and use data to effectively inform decisions, is a fundamental component of information competence (Mandinach and Gummer 2013 Mandinach, E. B., and E. S. Gummer. 2013. “A systemic view of implementing data literacy in educator preparation.” Educational Researcher 42 (1): 30–37. doi:10.3102/0013189X12459803.Crossref], Web of Science ®] , Google Scholar]; Stephenson and Caravello, 2007 Stephenson, E., and P. Caravello. 2007. “Incorporating Data Literacy into Undergraduate Information Literacy Programs in the Social Sciences; a Pilot Project.” Reference Services Review 35 (4):525–40. doi:10.1108/00907320710838354.Crossref] , Google Scholar]). This commentary highlights the structure of a data literacy course that aims to simultaneously teach problem-solving skills and Microsoft Excel skills through real-world examples and problem based learning. This commentary aims to provide insight to other educators teaching similar courses regarding using technology as a tool for developing a student's problem solving ability. |
