Comparison of Online Versus Paper Spatial Testing Methods

Veurink, Norma; Hamlin, Amy

doi:10.18260/p.23720

Cited by 3 publications

(3 citation statements)

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“…Some authors have contrasted the electronic and paper formats for administering this assessment. In [18] authors found that freshmen taking the test through an LMS scored on average a full point lower than those taking a paper version of the test, even though the LMS group had higher Math ACT averages than the paper groups. They also mentioned that some students may score lower because in the electronic version it is not possible to make marks.…”

Section: Face-to-face (Ftf) Trainingmentioning

confidence: 98%

Spatial Visualization Skills Training at Texas State University to Enhance STEM Students' Academic Success

Novoa¹,

Spencer²,

Hazlewood³

et al.

2020 ASEE Virtual Annual Conference Content Access Proceedings

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She has a Ph.D. in Industrial Engineering and her research areas are Dynamic and Stochastic Programming and Parallel Computing to solve mathematical optimization problems applied to logistics and supply chain. Dr. Novoa has 19 years of experience in academia and 4 years of experience in industry. Dr. Novoa is receiving funding from NSF through Texas State STEM Rising Stars (2015-2019) and ME-Green: Manufacturing for the Environment by Generating Renewable Energy in Enterprise Networks (2017-2020). Texas State STEM Rising Stars is a four-years grant related to increase the first and second year retention and graduation rates of students in STEM. ME-Green is a three-years grant to model and design a grid-connected onsite generation system featuring renewable power to realize zero-carbon industrial operations. Dr. Novoa has been also committed to research on strategies to achieve gender equity and cultural inclusiveness in science and engineering.

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Section: Face-to-face (Ftf) Trainingmentioning

confidence: 98%

Spatial Visualization Skills Training at Texas State University to Enhance STEM Students' Academic Success

Novoa¹,

Spencer²,

Hazlewood³

et al.

2020 ASEE Virtual Annual Conference Content Access Proceedings

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“…Strong SVS have been shown to be critical to the success of engineers and students in the fields of Engineering, Technology, Computer Science, Chemistry, Computer Aided Design and Mathematics 3,17,18,19 . The assessment and remediation of those skills is growing in engineering curricula across the country 2,17,18,20,21 . The 3D spatial skills of female often lag behind those of men 17 .…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Disciplinary Summer Orientation Sessions for First-Year Students in Engineering, Engineering Technology, Physics, and Computer Science

Novoa¹,

Ortiz²,

Talley³

2016 ASEE Annual Conference &Amp; Exposition Proceedings

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This work in progress is motivated by a self-study conducted at Texas State University. The study revealed that the average second year science, technology, engineering and math (STEM) student retention rate is 56% vs. 67% for all majors, and that 16% of STEM majors are female while 57% of all undergraduate students are female. Using these statistics, the authors identified the need to offer motivating experiences to freshman in STEM while creating a sense of community among other STEM students. This paper reports on the impact of two interventions designed by the authors and aligned with this need. The interventions are: (1) a one-day multidisciplinary summer orientation (summer15) to give participants the opportunity to undertake projects that demonstrate the relevance of spatial and computational thinking skills and (2) a subsequent six-week spatial visualization skills training (fall 2015) for students in need to refine these skills. The interventions have spatial skills as a common topic and introduce participants to career applications through laboratory tours and talks. Swail et al.1 mentions that the three elements to address in order to best support students' persistence and achievement are cognitive, social, and institutional factors. The interventions address all elements to some extent and are part of an NSF IUSE grant (2015-2018 to improve STEM retention.The summer 2015 orientation was attended by 17 freshmen level students in Physics, Engineering, Engineering Technology, and Computer Science. The orientation was in addition to "Bobcat Preview", a separate mandatory one-week length freshman orientation that includes academic advising and educational and spirit sessions to acclimate students to the campus. The effectiveness of the orientation was assessed through exit surveys administered to participants. Current results are encouraging; 100% of the participants answered that the orientation created a space to learn about science and engineering, facilitated them to make friends and encouraged peer interaction. Eighty percent indicated that the orientation helped them to build confidence in their majors. Exit survey findings were positively linked to a former exit survey from an orientation given to a group of 18 talented and low-income students in 2013.The training on refining spatial visualization skills connects to the summer orientation by its goals. It offers freshman students in need to refine spatial skills a further way to increase motivation to STEM and create community among other students. It is also an effective approach to support students' persistence and achievement. Bairaktarova et al.2 mention that spatial skills ability is gradually becoming a standard assessment of an individual's likelihood to succeed as an engineer. Metz et al.3 report that well-developed spatial skills have been shown to lead to success in Engineering and Technology, Computer Science, Chemistry, Computer Aided Design and Mathematics. The effectiveness of the fall 2015 training was assessed through compar...

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“…Because of the opportunity for a more datarich assessment, prior work had developed an online version of the PSVT:R [6]. It is necessary to complete separate assessments of paper-based and computer-based tests, even if they are otherwise identical, as instruments show marked difference in their results when given via different platforms [13].…”

Section: Introductionmentioning

confidence: 99%

Using EFA to Determine Factor Structure of a Computer-Based Version of the Purdue Spatial Visualization Test: Rotations (PSVT:R)

Dautle,

Farrell

2023 ASEE Annual Conference &Amp; Exposition Proceedings

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Literature shows that spatial skills, and in particular, mental rotation skills, are predictors of success in STEM. Students who have strong spatial visualization skills are more likely to demonstrate better academic performance and higher retention rates in STEM. Several instruments are used to measure mental rotation skills, most of which are paper-based; these include the Mental Rotations Test (MRT), Rotated Colour Cube Test (RCCT), and Purdue Spatial Visualization Test: Rotations (PSVT:R). To measure the range of skills typically seen in undergraduate engineering students, the PSVT:R has been historically preferred for its use of a variety of 3-dimensional shapes, which are appropriately challenging to visualize, and for its established reliability and validity. A data-rich computer-based version of the test offers several advantages over the paper-based test; however, its reliability and validity must be established. We present the analysis of the results of a computer-based version of the PSVT:R administered to first-year engineering students at a mid-sized, public university in the United States. We use an exploratory factor analysis (EFA) to determine the number of latent variables being measured by the instrument in our data. We determine the number of latent variables to be one, with good reliability, which is consistent with the paper-based instrument. In future work, we plan to use a confirmatory factor analysis (CFA) to show evidence of validity of the computer-based PSVT:R.

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Comparison of Online Versus Paper Spatial Testing Methods

Cited by 3 publications

References 1 publication

Spatial Visualization Skills Training at Texas State University to Enhance STEM Students' Academic Success

Spatial Visualization Skills Training at Texas State University to Enhance STEM Students' Academic Success

Multi-Disciplinary Summer Orientation Sessions for First-Year Students in Engineering, Engineering Technology, Physics, and Computer Science

Using EFA to Determine Factor Structure of a Computer-Based Version of the Purdue Spatial Visualization Test: Rotations (PSVT:R)

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