Supporting engineering students' representational competencies in individual and collaborative learning settings
Year: 2025
Type: article
Study design: Clinical Trial
Abstract: Background Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand visualizations. An open question is whether supporting students' understanding of visual representations enhances their subsequent learning. We investigate this question in both individual and collaborative learning settings. Purpose We investigated the impact of support for students' understanding of simple visual representations on students' learning of subsequently presented complex visual representations. Further, we investigated whether students' level of mental rotation skills moderates the impact of such instructional support. Method Two experiments tested the impact of instructional support for visual representations in an individual or a collaborative learning setting. Students were randomly assigned to receive different versions of instructional support, or none. Results Study 1 was conducted in an individual learning setting. While students with high mental rotation skills benefited from the instructional support, students with low mental rotation skills did not benefit. Study 2 was conducted in a collaborative learning setting. Here, all students benefited equally from the support. Conclusions Our findings suggest that instructional support for simple visual representations can enhance students' subsequent learning with complex visual representations. Further, our findings suggest that a collaborative learning setting may be particularly beneficial to students with low mental rotation skills. This study contributes to an understanding of instructional environments that can improve learning with visual representations in engineering education.
Source: Journal of Engineering Education
DOI: 10.1002/jee.20631
Authors: Jihyun Rho, Martina A. Rau, Barry Van Veen
Institutions: University of Wisconsin–Madison, ETH Zurich
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $3,710
OpenAlex ID: W4407557421
