Spatial ability is a well-known predictor of success in science, technology, engineering, and mathematics (STEM) fields. The purpose of this study was to investigate and understand the spatial strategies that were used by blind and low-vision (BLV) individuals as they solved problems on the tactile mental cutting test (TMCT), an instrument that was designed to measure the spatial ability of BLV audiences.
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TEAM MEMBERS:
Theresa GreenWade GoodridgeDaniel KaneNatalie Shaheen
This paper describes the development and preliminary validation of a new spatial ability instrument that is designed to be accessible non-visually. Although additional work is needed to finalize the test, preliminary analysis indicates that the test has high reliability and validity.
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TEAM MEMBERS:
Sarah LopezWade GoodridgeIsaac GouglerDaniel KaneNatalie Shaheen
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.
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TEAM MEMBERS:
Tyler AshbyWade GoodridgeBJ CallSarah LopezNatalie Shaheen
This paper discusses the development of the Tactile Mental Cutting Test (TMCT), a non-visually accessible spatial ability instrument, developed and used with a blind and low vision (BLV) population. Data was acquired from individuals participating in National Federation of the Blind (NFB) Conventions across the United States as well as NFB sponsored summer engineering programs. The paper reports on a National Science Foundation funded effort to garner initial research findings on the application of the TMCT. It reports on initial findings of the instrument’s validity and reliability, as well
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TEAM MEMBERS:
Natalie ShaheenAnn HuntDaniel KaneWade Goodridge
This summary brief captures highlights from the second year of the NSF-funded WaterMarks project. The technical evaluation report for this same project period can be found on the main project page. The purpose of this document is to communicate key updates (as observed by the evaluation team) in a less technical way with the many different audiences who have an interest in keeping up with WaterMarks.
This is the evaluation report for the second year of the NSF-funded WaterMarks project. It reflects a current summary of available evidence about the intended outcomes of program activities to date, as well as commentary on how the project is using (or could use) this information moving forward.
This project seeks to apply explainable artificial intelligence to the challenge of personalizing training for adult citizen scientists. The approach will be developed in the context of the Native Bee Watch (NBW) biodiversity monitoring project that began in 2016 at Colorado State University.
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TEAM MEMBERS:
Sarath SreedharanNikhil KrishnaswamyJill ZarestkyNathaniel Blanchard
In collaboration with TERC and informal learning organizations across the United States, COSI’s Center for Research and Evaluation (CRE) is part of an NSF-funded project, Research to Understand and Inform the Impacts of Ambient and Designed Sound on Informal STEM Learning.