Conference Session

Engineering Design Graphics Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hannah Dawes Budinoff, Pima Community College

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Diversity

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Engineering Design Graphics

givenapproximately three assignments throughout the semester that required them to sketchorthographic projections and isometric views of objects. These assignments were designed tohelp improve spatial visualization ability. However, the class was generally focused on 3Dmodeling skills and SolidWorks operation, and not on spatial visualization ability.A survey was also administered to assess self-efficacy and to ask the students about how helpfulthey found the different learning activities in the course. We measured self-efficacy regarding 3Dgraphics topics using the three-dimensional modeling self-efficacy scale described by Densenand Kelly [21]. We will refer to this scale as the 3DM-SES in this paper. Agreement on eachitem of the nine items of this survey

Conference Session

Engineering Design Graphics Division Technical Session 4: A Potpourri of Ideas

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Daniel P. Kelly, Texas Tech University; Jeremy V. Ernst, Embry-Riddle Aeronautical University; Aaron C. Clark, North Carolina State University at Raleigh; Erik Schettig, North Carolina State University at Raleigh

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Diversity

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Engineering Design Graphics

, including student scoreon the pretest three-dimensional modeling self-efficacy (3DSE) assessment, gender, age, andwhether or not the student had a parent with professional engineering backgrounds. The three-dimensional self-efficacy instrument consisted of nine questions, each being a 7-point Likerttype item, designed to measure students’ self-efficacy related to modeling three-dimensionalobjects [11]. Logistic regression could not identify for which subgroups of students the variableswere most significant. For these reasons, machine learning analytics software was used toexamine the predictors, and their interactions, that led to persistence in engineering degreeprograms. Machine learning has gained popularity over recent years due to its ability

Conference Session

Engineering Design Graphics Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jeremy V. Ernst, Virginia Tech; Shelley Glimcher, North Carolina State University; Daniel P. Kelly, North Carolina State University; Aaron C. Clark, North Carolina State University

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Diversity

Tagged Divisions

Engineering Design Graphics

. 7, no. 1, pp. 9, 2016.[9] N. Honken, P. S. Ralston, “Freshman engineering retention: A holistic look,” Journal of STEM Education: Innovations & Research, vol. 14, no. 2, pp 29-37, 2013.[10] M. W. Ohland, C. E. Brawner, M. M. Camacho, R. A. Layton, R. A. Long, S. M. Lord, and M. H. Wasburn, “Race, gender, and measures of success in engineering education,” Journal of Engineering Education, vol. 100, no. 2, pp. 225, 2011.[11] T. D. Fantz, T. J. Siller, and M. A. Demiranda, “Pre-Collegiate Factors Influencing the Self- Efficacy of Engineering Students,” Journal of Engineering Education, vol. 100, no. 3, pp. 604–623, 2011.[12] S. Freeman, S. L. Eddy, M. Mcdonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P

Conference Session

Engineering Design Graphics Division Technical Session 3 - Spatial Visualization Topics

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hannah Budinoff, University of California, Berkeley; Audrey Ford, University of California, Berkeley; Sara McMains, University of California, Berkeley

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Diversity

Tagged Divisions

Engineering Design Graphics

canbetter devise pedagogical strategies targeted at improving self-efficacy and retention of femalestudents.The objective of this study is to determine if women do in fact put more effort into anintroductory engineering graphics class, and to determine if this extra effort can compensate fortheir lower average spatial visualization ability, resulting in equal course outcomes such as examand homework grades. We hypothesize that: 1) female students put more effort (measured asquiz scores, time spent on homework, attendance, and homework scores) into engineeringgraphics courses; and 2) that this greater effort by female students results in roughly equalaverage course and exam grades for men and women. While other studies have observed

Conference Session

Spatial Visualization Within Engineering Design Graphics

Collection

2016 ASEE Annual Conference & Exposition

Authors

Wilhelm Alex Friess, University of Maine; Eric L. Martin, University of Maine; Ivan E. Esparragoza, Pennsylvania State University, Media; Oenardi Lawanto, Utah State University

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Diversity

Tagged Divisions

Engineering Design Graphics

building blocks for the development of self-efficacy 44.Further indication of this effect is the subsequent formation of a 3D printing club by anumber of the students in the class, in order to continue their design activities in anextracurricular fashion.No specific assessment of self-efficacy (in particular in relation to the reported genderdifferences) was conducted, as the survey instrument of this work in progress wasdesigned to only probe for student preferences. Future work however will considerexpanding the analysis to include these assessments.Conclusion and future workThe intention of this work-in-progress was to qualify changes in SV caused by thegeometric design projects and the 3D printing interventions, and the student survey

Conference Session

Visualization Within Engineering Design Graphics Education Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Norma L Veurink, Michigan Technological University; A. J. Hamlin, Michigan Technological University

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Diversity

Tagged Divisions

Engineering Design Graphics

using an online testing toolthey developed. They found there was no significant differences in performance, howeverstudents spent more time on the online test.Other studies have found some differences in on-line versus paper exams. Deutsch, Herrmann,Frese, and Sandholzer4 found gender differences in students taking online exams. These genderdifferences were attributed to differences in computer-self efficacy, but they found thedifferences were reduced considerably after students had a single experience taking an onlineexam. McDonald5 considered score equivalence between paper and computer-based assessmentsand concluded that individual differences in computer experience, computer anxiety, andcomputer attitudes could impact the potential of some

Conference Session

Engineering Design Graphics Division Technical Session 1: Spatial Visualization

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lelli Van Den Einde, University of California, San Diego; Nathan Delson, University of California at San Diego; Elizabeth Rose Cowan, eGrove Education

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Diversity

Tagged Divisions

Engineering Design Graphics

spatial skills for engineering students”. International Journal of Science Education. Vol 31(3), pp 459-80, Feb. 2009.[8] L. Van Den Einde, N. Delson, L. Cowan, “Sketching App to Teach Spatial Visualization Skills Suitable for Remote and In-Person Instruction”, Proceedings of INTED 2021, virtual conference, March 8-9, 2021.[9] N. Delson, L. Van Den Einde, E. Cowan, J. Tara “eGrove Education.” [Online] Available www.egrove.education.[10] J. Power, J. Buckley, and N. Seery. “Visualizing Success: Investigating the Relationship between Ability and Self-Efficacy in the Domain of Visual Processing”. 70th ASEE Engineering Design Graphics Division Midyear Conference, Embry-Riddle Aeronautical University, FL, January, 2016.[11