Spatial ability and STEM: A sleeping giant for talent identification and development
By David Lubinski. 2010
306 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Automotive Engineering, Geography, Planning and Development
View Paper: https://www.semanticscholar.org/paper/37f290624c5a03f6b7e0ee46594a263db55ac38f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Cheryl Cohen
- Mary-Catherine Mcclain
- Mary Hegarty
- S. Pfeiffer
- Kelly S. Mix
- Yukiko Maeda
- So Yoon Yoon
- Y. Cheng
In Automotive Engineering
- Cheryl Cohen
- Kelly S. Mix
- Mary-Catherine Mcclain
- Mary Hegarty
- S. Pfeiffer
- Yukiko Maeda
- So Yoon Yoon
- Y. Cheng
In Geography, Planning and Development
- Cheryl Cohen
- Mary-Catherine Mcclain
- Mary Hegarty
- S. Pfeiffer
- Kelly S. Mix
- Yukiko Maeda
- So Yoon Yoon
- Y. Cheng
Citations in the corpus
- Current Perspectives on the Identification and Assessment of Gifted Students (2012, background): “The development of talent among high-ability students requires more than general intellectual ability (Bembenutty & Karabenick, 2004; Bloom, 1982; Lubinski, 2010; Nisbett, 2009).”
- Effects of spatial training on mathematics in first and sixth grade children. (2020, background): “…thought are overlapping, it is reasonable to predict that training in one domain would lead to improvement in the other, as many have suggested (Lubinski, 2010; Levine, Foley, Lourenco, Ehrlich, & Ratliff, 2016; Newcombe, 2010, 2013; Uttal et al., 2013; Verdine, Irwin, Golinkoff, &…”
- Identification of Gifted Students in the United States Today: A Look at State Definitions, Policies, and Practices (2012, background): “…school psychologists need to become familiar with the talent development and expertise literatures (e.g., Ericsson, 1996; Feldman, 2003; Lubinski, 2010; Subotnik, 2003) so that they can design empirically supported progress monitoring protocols and effectively identify opportunities…”
- Inferring cross sections of 3D objects: A new spatial thinking test (2012, background): “Longitudinal studies have demonstrated that that spatial ability in high school predicts achievement in advanced STEM occupations in early adulthood (Wai, Lubinski, & Benbow, 2009), suggesting that a large resource of untapped spatial talent could be identified and nurtured through spatial ability t”
- Spatial Training Improves Children's Mathematics Ability (2014, background): “The connection between space and math is so compelling that many now believe spatial training could be an important resource for improving performance in Science, Technology, Engineering, and Mathematics (STEM) disciplines (Lubinski, 2010; Newcombe, 2010; Uttal et al., 2012).”
- A Meta-Analysis on Gender Differences in Mental Rotation Ability Measured by the Purdue Spatial Visualization Tests: Visualization of Rotations (PSVT:R) (2013, background): “2001) and indicated a unique contribution of spatial ability to predict success in STEM beyond SAT mathematics and verbal scores (Lubinski 2010; Wai et al. 2009).”
- A Heuristic Framework of Spatial Ability: a Review and Synthesis of Spatial Factor Literature to Support its Translation into STEM Education (2018, unknown): “Recently however, interest in spatial ability has seen a resurgence as it is becoming increasingly linked through correlational evidence with educational performance specifically in the areas of science, technology, engineering and mathematics (STEM) (Höffler 2010; Lubinski 2010; McGrew and Evans 20”