Initial Publication Date: May 14, 2019

EDDIE Pre-workshop Essay for: Teaching Quantitative Reasoning with Data

Mary Beth Kolozsvary, Environmental Studies and Sciences, Siena College

Some of the challenges I find with teaching quantitative reasoning, or just having students work with data in the classroom, is that students in my classes can have a wide-range of abilities. Some students can pick things up very quickly, whereas many students have significant fear of math and working with numbers. It is a mental block that causes them substantial stress. This wide-range of abilities and aptitude makes it incredibly challenging. Although I teach some non-majors courses, most of the courses I teach are geared towards Environmental Studies and Sciences majors. I am a firm believer that each of these students is fully capable of developing quantitative skills, but getting them to that place in a classroom setting is a big challenge.

Many of my classes have lecture and labs. Lectures have 18-28 students and labs have 10-14 students. I often have the students work in pairs, and mix up the pairs of students throughout the course – that way, they don't get stuck in a situation where one student does all the work while the other just watches. I also have students bring their laptops into lectures as we work with datasets. That seems to go well, but I still struggle with getting the right balance. I am looking forward to sharing my experiences and learning other strategies to use to overcome these stumbling blocks!

Downloadable version of this essay




Close

Looking for teaching materials?
Check our quick guide to Finding Earth Education Resources at SERC for some strategies that will help you make the most of the collections.

Remind me later Open the guide in a new tab