More Like this

1. Beyond small-scale spatial skills: Navigation skills and geoscience education

   https://doi.org/10.1186/s41235-019-0167-2  

   Nazareth, Alina; Newcombe, Nora S.; Shipley, Thomas F.; Velazquez, Mia; Weisberg, Steven M. (December 2019, Cognitive Research: Principles and Implications)

   null (Ed.)
2. Beyond small-scale spatial skills: Navigation skills and geoscience education.

   Nazareth, A.; Newcombe, N. S.; Shipley, T. F.; Velazquez, M.; Weisberg, S. M. (January 2019, Cognitive research)
3. VR Geoscience Education: Building Spatial Reasoning Skills

   https://doi.org/10.1109/VRW62533.2024.00034  

   Johanesen, Katharine E; Jones, J Adam; Poole, Territa; Ryker, Katherine; Green, Christopher (March 2024, IEEE)

   We tested the impact of a 15-minute VR training on spatial skills and performance on a geoscience task with a control group. The VR group improved more on the Water Level Task-a measure of understanding of horizontal (B = 0.68, p=0.008). Both groups performed equally on the geology task, except for an orientation rule not well instructed in the VR module (B = -1.33, p=0.0057). In the post-survey, the VR group reported higher ability to link knowledge (X2=4.45, p=0.035) and more interest than in past activities (X2=8.47, p=0.004). This is encouraging, given the brevity of the VR lesson. 

   more » « less
4. Learning Manipulation Skills via Hierarchical Spatial Attention

   https://doi.org/10.1109/TRO.2020.2974093  

   Gualtieri, Marcus; Platt, Robert (March 2020, IEEE Transactions on Robotics)
5. Can Students' Spatial Skills Predict Their Programming Abilities?

   https://doi.org/10.1145/3341525.3387380  

   Bockmon, Ryan; Cooper, Stephen; Gratch, Jonathan; Zhang, Jian; Dorodchi, Mohsen (June 2020, ITiCSE 2020)

   null (Ed.)

   Spatial abilities have been shown to have high predictability in students’ success in STEM related fields. Studies have also shown that there is a correlation between students’ spatial skills and programming abilities, but it is unknown how well students’ prior spatial abilities can predict students’ introductory programming abilities at the end of the semester. During this study we used a multinomal logistic regression to create a predictive model to predict students’ introductory programming abilities at the end of the semester. The highest model accuracy (64.6%) was obtained when accounting for students’ prior programming abilities, prior spatial skills, socioeconomic status, and three factors regarding students’ attitudes towards computing. It was also found that when looking at the predictability of each individual variable, students’ prior spatial ability had the highest predictability (56.6% accuracy) when compared to all other variables. 

   more » « less