Spatial ability has been shown through numerous studies to be a strong predictor of student success in STEM fields. Beyond the classroom, professionals demonstrating higher levels of spatial ability are also more likely to be successful in their STEM careers than their peers with lower spatial ability. Research has also shown that spatial ability is a malleable skill that can be strengthened through targeted intervention and leads to better retention in rigorous STEM fields. For this reason, spatial ability has been a significant focus of engineering education research. Despite the focus on spatial ability in engineering education research, members of the blind and low vision (BLV) population have largely been omitted from research in this area, likely due to the lack of a nonvisually accessible instrument for measuring spatial ability in a tactile format. This work utilizes the Tactile Mental Cutting Test (TMCT), a fully accessible adaptation of the commonly used multiple-choice Mental Cutting Test (MCT) spatial ability instrument which requires participants to identify cross sectional outlines from a three-dimensional object with a cut through it. This paper explores data collected from BLV participants who completed a TMCT test at National Federation of the Blind (NFB) sponsored summer programs for BLV youth, blindness training centers, and state and national NFB conventions. Raw scores from each TMCT participant were analyzed and ranked into high, medium, and low performing groups to help identify main characteristics of each group. In this study we examined patterns in the selected answer choices of the low scoring group to determine frequency of participant selection of distractors for each item of the TMCT. Analysis of the low-performer scores indicate that the majority of low scoring participants select incorrect answer choices that represent a side view or top view of the TMCT object as opposed to the true cross-sectional shape. Furthermore, the results suggest that certain answer choices may be overly difficult to distinguish between due to the tactile format of the exam. Results from this study can inform academia of the inherent differences between tactile and traditional spatial ability instruments and aid in the design of new tactile instruments.
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Adaptation of the Mental Cutting Test for Use among the Blind or Visually-impaired
This paper seeks to illustrate the first steps in a process of adapting an existing, valid, and
reliable spatial ability instrument – the Mental Cutting Test (MCT) – to assess spatial ability
among blind and low vision (BLV) populations. To adapt the instrument, the team is developing three-dimensional (3-D) models of existing MCT questions such that a BLV population may perceive the test tactilely with their hands. This paper focuses on the development of the Tactile MCT (TMCT) instrument and does not report on the use of or results from the new instrument. Future work will investigate the validity and reliability of the adapted instrument.
Each TMCT question is created by modeling and 3-D printing the objects represented by two-dimensional pictorial drawings on the MCT. The 3-D models of 25 items of the MCT are created using a solid modeling process followed by an additive 3-D printing process. The correct answer to each MCT question is the section view defined by a plane-of-interest (POI) intersecting the figure in question. A thin plane extending from the figure identifies the POI of each problem. The possible answers were originally presented in multiple representations including 3-D printed extrusions on top of a thin plate, and two forms of tactile graphics. The 3-D printed answers are developed by a combination of acquiring accurate dimensions of the 3-D figure’s cross-section and scaling up the printed paper test.
To improve this adaptation of the MCT instrument, the TMCT models and their respective
multiple-choice answers will be inspected by a spatial cognition expert as well as several BLV individuals. Feedback from these individuals will provide insight into necessary revisions before the test is implemented.
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- Award ID(s):
- 1712887
- NSF-PAR ID:
- 10059222
- Date Published:
- Journal Name:
- 2018 ASEE Zone IV Conference
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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