Performance in Science, Technology, Engineering, and Mathematics (STEM) disciplines can depend on the sub-abilities of spatial ability and visuospatial working memory. According to the STEM task, certain sub-abilities may be more important than others in predicting achievement. Similarly, some individual characteristics (e.g., gender) moderate some of these sub-abilities. For example, males on average have higher mental rotation spatial ability than females, whereas spatial working memory tends to be less prone to gender effects. In addition, the results of the tests measuring these sub-abilities can be changed by manipulating certain variables. We present a battery of nine computerized and adaptable instruments to measure these sub-abilities, with the aim of informing cognitive researchers about the processing abilities most vital for undertaking STEM tasks, and how they can be modified to suit learner characteristics.
|Title of host publication||Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2017 International Conference on Human Factors in Training, Education, and Learning Sciences, 2017|
|Number of pages||13|
|Publication status||Published - 2018|
|Event||AHFE 2017 International Conference on Human Factors in Training, Education, and Learning Sciences, 2017 - Los Angeles, United States|
Duration: 17 Jul 2017 → 21 Jul 2017
|Series||Advances in Intelligent Systems and Computing|
|Conference||AHFE 2017 International Conference on Human Factors in Training, Education, and Learning Sciences, 2017|
|Period||17/07/17 → 21/07/17|
Bibliographical noteFunding Information:
The first author acknowledges funding from CONICYT PAI, national funding research program for returning researchers from abroad, 2014, No. 82140021; and PIA? CONICYT Basal Funds for Centers of Excellence, Project FB0003. Also, this research was supported by an Australian Research Council grant (DP140103307) to the second and third authors. We acknowledge the programming and design of Daniel Escalante, Mauricio Barrios, Mat?as Salinas and Ignacio Jarabran, and the significant assistance of M?nica Arenas and Claudia Arenas.
© Springer International Publishing AG 2018.