Enriching Student Learning with Data Visualization
Description
In the 2015-2016 academic year, the College of Saint Benedict and Saint John's University Libraries, Media Services and Archives partnered with an economics faculty member to take his Intro to Econ course to the next level. Rather than asking students to solely rely on static graphs and dry textbooks, we developed data visualization assignments that allowed students to be active, engaged participants in their learning. The Libraries staff were able to improve students' digital literacies through their tech support and training, and this freed up the faculty member to teach disciplinary content in new ways. In this workshop, we'll lead participants through our collaborative process: how we divided up tasks; identified appropriate learning objectives; crafted assignments; selected data sets; and decided on software (Tableau). We'll talk about what's worked, what still needs tweaking, and how we plan to expand data visualization support to faculty members in other departments. Participants will leave this session with a better understanding of how they can support data visualization in the classroom, and we'll provide lists of resources and training opportunities that will help them get started.
Start Date
16-3-2017 2:15 PM
End Date
16-3-2017 3:45 PM
Enriching Student Learning with Data Visualization
In the 2015-2016 academic year, the College of Saint Benedict and Saint John's University Libraries, Media Services and Archives partnered with an economics faculty member to take his Intro to Econ course to the next level. Rather than asking students to solely rely on static graphs and dry textbooks, we developed data visualization assignments that allowed students to be active, engaged participants in their learning. The Libraries staff were able to improve students' digital literacies through their tech support and training, and this freed up the faculty member to teach disciplinary content in new ways. In this workshop, we'll lead participants through our collaborative process: how we divided up tasks; identified appropriate learning objectives; crafted assignments; selected data sets; and decided on software (Tableau). We'll talk about what's worked, what still needs tweaking, and how we plan to expand data visualization support to faculty members in other departments. Participants will leave this session with a better understanding of how they can support data visualization in the classroom, and we'll provide lists of resources and training opportunities that will help them get started.