Using BioRender for Active Learning: Exploring Learning-Style Preference and Visual-Spatial Ability in Undergraduate Students.

Abstract

Visual-spatial reasoning has been considered a predictor of performance success in STEM courses, including engineering, chemistry, biology, and mathematics. Little is known, however, about whether visual-spatial ability predicts success for non-STEM students in general education neuroscience courses. In the following study, we investigate how scores on tests of visual-spatial object rotation relate to student performance on illustrative and content exams in a large non-major undergraduate neuropharmacology course. To help students understand content visually, the course provided students with homework assignments that allowed them to create illustrations of lecture content using the online scientific illustration software, BioRender. Findings suggest that percent completion of BioRender assignments was a greater predictor of student performance than tests of innate visual-spatial ability. In addition, we show that visual learning style preference was not correlated with visual-spatial ability, as measured by the Purdue Spatial Visualization Test-Visualization of Rotations. Neither did learning style preference predict student success. The following paper suggests practice illustrating neuroscience concepts, or perhaps content practice in general, had a greater impact on student learning independent of learning style preference or innate visual-spatial ability.