Data Mining and Sorting: Scaffolding the Exploration of Scientific Articles

At a Glance
Discipline
- STEM
- Health science
Instructional Level
- College & CEGEP
Course
- Interventions in vascular and respiratory conditions (144-551)
Tasks in Workflow
Social Plane(s)
- Group
Type of Tasks
- Collecting & seeking information
Technical Details
Useful Technologies
- Preparation is done in Perusall, an open-source software tool for collaborative annotation. A low-tech version would be possible for the prep phase. In-class is done with magnetized strips for sorting
Class size
- Small (20-49)
Time
- Brief segment of class period (< 20 mins)
Inclusivity & Accessibility
- Variety of representations
Instructional Purpose
- Application & knowledge building
Overview
The purpose of this activity is to deepen the students’ understanding of cardiac pathophysiology and how it relates to exercise physiology benefits, with the purpose of providing rationales for their exercise choices in clients, to help them better weigh those against potential risks. Knowing the value of exercise in these clients will make them better able to motivate clients and be stronger advocates of exercise in their future career roles. A side benefit is helping them to navigate complex and difficult to read scientific articles and translate them into clear utility for their careers as clinicians.
In this activity, students read a scientific article prior to class with an assignment to gather 5 specific points on the benefits of exercise in people with known cardiac conditions to bring in to class, where they are grouped together to “pool” their benefits, and then sort them into a different classification (by physiology or clinical benefit) than was used in the original article (by disease).
Instructional Objectives
- Students will be able to explain the physiological benefits of exercise in a particular cardiac condition, both at a level to explain to a future clinical supervisor (or teacher) and a future client
- Students will extract useful information from a dense scientific meta-analysis, with the support of their teachers and colleagues
Workflow & Materials
Activity Workflow
Applied Strategies
Published: 26/01/2024
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