ASEE PEER - A Targeted Approach to Improving Spatial Visualization Skills of First-Year Engineering Students
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A Targeted Approach to Improving Spatial Visualization Skills of First-Year Engineering Students

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

Engineering Design Graphics Division (EDGD) Technical Session 2

Tagged Division

Engineering Design Graphics Division (EDGD)

Permanent URL

https://peer.asee.org/46501

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Paper Authors

biography

Qi Dunsworth Pennsylvania State University Orcid 16x16 orcid.org/0000-0001-6903-5402

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Qi Dunsworth is the Director of the Center for Teaching Initiatives at Penn State Erie, The Behrend College. She holds a master's degree in Communication Studies and a Ph.D. in Educational Technology. She supports faculty in their effort to improve pedagogy, course design, and interdisciplinary curricula.

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biography

Dean Q. Lewis Pennsylvania State University

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Dean Lewis has served as an assistant teaching professor in mechanical engineering in the School of Engineering at Penn State Erie, the Behrend College since 2006. He has taught various courses in solid mechanics and engineering design for all levels of undergraduate students

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Abstract

Decades of studies on spatial visualization skills have provided solid evidence that improving such skills will benefit learning in STEM broadly. While some colleges and universities have spatial thinking training built into the curriculum, it is not always efficient to require all students to take the training considering the economic and administrative costs. This paper documents an exploratory study conducted in a small college within a public university in Pennsylvania. More than 200 first-year college students from three science and engineering classes participated and the effectiveness of the 6-week training program was measured.

The goal of the study is to answer the following questions: Is there a relationship between spatial visualization skills and final course grades in first-year science and engineering classes? Students at which level of spatial skills benefit the most from the training program?

Both performance and qualitative survey data were collected before and after the training program. Participants’ spatial visualization skills were measured on both the 30-point and 78-point scale, the latter representing the four-tier system of item complexity per Maeda, Yoon, Kim-Kang, and Imbrie.

The results on the 30-point scale did not reveal a correlation between pre-test performance and the course final grades. On the 78-point scale, small positive correlations were found between the ability to solve more complex mental rotation problems and the final grades in computer science.

The high-scoring students in the pre-test did not show more advancement in the post-test after the training. However, the post-test revealed a strong gain among those with low-to-medium spatial ability aptitude at the beginning of the semester. This finding is consistent with a previous study. Overall, students' confidence in solving mental rotation problems grew significantly. This paper shared detailed results, implications, as well as curricular plans.

Dunsworth, Q., & Lewis, D. Q. (2024, June), A Targeted Approach to Improving Spatial Visualization Skills of First-Year Engineering Students Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/46501

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