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2014•Unpublished venueRequires access

Individual Differences in Spatial Abilities

Norena Martín Dorta, José Luis Saorín, Manuel Contero

Open publisher page 7 citations

Abstract

Spatial Abilities are cognitive skills that are linked to success in science, technology, engineering, arts and mathematics (STEAM) fields. The goal of this paper is to develop a predictive model of Mental Rotation and Spatial Visualization scores to freshman engineering students. To this end, we conducted a study with 433 students at University of La Laguna in autumn of 2004. The ANCOVA analysis showed that gender, age, videogame players, the years that students course technical drawing and if they are workers are significant variables. The paper propose two predictive models for Mental Rotation and Spatial Visualization that helps us early detect students with lower levels of spatial abilities.

About this research paper

What this paper is about

Spatial Abilities are cognitive skills that are linked to success in science, technology, engineering, arts and mathematics (STEAM) fields. The goal of this paper is to develop a predictive model of Mental Rotation and Spatial Visualization scores to freshman engineering students. To this end, we conducted a study with 433 students at University of La Laguna in autumn of 2004. The ANCOVA analysis showed that gender, age, videogame players, the years that students course technical drawing and if they are workers are significant variables. The paper propose two predictive models for Mental Rotation and Spatial Visualization that helps us early detect students with lower levels of spatial abilities.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Spatial Abilities are cognitive skills that are linked to success in science, technology, engineering, arts and mathematics (STEAM) fields. The goal of this paper is to develop a predictive model of Mental Rotation and Spatial Visualization scores to freshman engineering students. To this end, we conducted a study with 433 students at University of La Laguna in autumn of 2004. The ANCOVA analysis showed that gender, age, videogame players, the years that students course technical drawing and if they are workers are significant variables. The paper propose two predictive models for Mental Rotation and Spatial Visualization that helps us early detect students with lower levels of spatial abilities.

Key concepts: Spatial ability, Mental rotation, Visualization, Cognition, Spatial intelligence, Analysis of covariance, Computer science, The arts

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