References
- Andersen, L. (2014). Visual–spatial ability: Important in STEM, ignored in gifted education. Roeper Review, 36(2), 114–121. https://doi.org/10.1080/02783193.2014.884198
- Bae, C. L., & DeBusk-Lane, M. (2018). Motivation belief profiles in science: Links to classroom goal structures and achievement. Learning and Individual Differences, 67, 91–104. https://doi.org/10.1016/j.lindif.2018.08.003
- Berkowitz, M., & Stern, E. (2018). Which cognitive abilities make the difference? Predicting academic achievements in advanced STEM studies. Journal of Intelligence, 6(4), 48. https://doi.org/10.3390/jintelligence6040048
- Bryant, D. J. (1998). Human spatial concepts reflect regularities of the physical world and human body. In P. Olivier & K. P. Gapp (Eds.), Representation and processing of spatial expressions (pp. 215–230). Lawrence Erlbaum.
- Cheng, D., Ren, B., Yu, X., Wang, H., Chen, Q., & Zhou, X. (2022). Math anxiety as an independent psychological construct among social-emotional attitudes: An exploratory factor analysis. Annals of the New York Academy of Sciences, 1517(1), 191–202. https://doi.org/10.1111/nyas.14902
- Diedenhofen, B., & Musch, J. (2015). Cocor: A comprehensive solution for the statistical comparison of correlations. PLoS ONE, 10(4), e0121945. https://doi.org/10.1371/journal.pone.0121945
- Du, X., & Liu, J. (2017). The relationship between eighth grade students’ “mathematics interest”, “mathematics self-efficacy”, “learning persistence” and “mathematics achievement”. Journal of Mathematical Education, 26((02|2)), 29–34. [in chinese].
- Ebrahim, A. (2012). The effect of cooperative learning strategies on elementary students’ science achievement and social skills in Kuwait. International Journal of Science and Mathematics Education, 10(2), 293–314. https://doi.org/10.1007/s10763-011-9293-0
- Fisher, R. A. (1925). Statistical methods for research workers. Oliver.
- Furnham A., & Fong G. (2000). Self-estimated and psychometrically measured intelligence: A cross-cultural and sex differences study of British and Singaporean students. North American Journal of Psychology, 2, 191–200.
- Gardner, H. (2000). Intelligence reframed. British Journal of Educational Studies, 48(4), 453–454.
- Garg, A., Norman, G. R., Spero, L., & Maheshwari, P. (1999). Do virtual computer models hinder anatomy learning? Academic Medicine, 74(10), S87–S89. https://doi.org/10.1097/00001888-199910000-00049
- Hambrick, D., & Meinz, E. (2011). Limits on the predictive power of domain-specific experience and knowledge in skilled performance. Current Directions in Psychological Science, 20(5), 275–279. https://doi.org/10.1177/0963721411422061
- Hambrick, D. Z., Libarkin, J. C., Petcovic, H. L., Baker, K. M., Elkins, J., Callahan, C. N., Turner, S. P., Rench, T. A., & LaDue, N. D. (2012). A test of the circumvention-of-limits hypothesis in scientific problem solving: The case of geological bedrock mapping. Journal of Experimental Psychology: General, 141(3), 397–403. https://doi.org/10.1037/a0025927
- Harle, M., & Towns, M. (2011). A review of spatial ability literature, its connection to chemistry, and implications for instruction. Journal of Chemical Education, 88(3), 351–360. https://doi.org/10.1021/ed900003n
- Harris, J., Newcombe, N. S., & Hirsh-Pasek, K. (2013). A New twist on studying the development of dynamic spatial transformations: Mental paper folding in young children, Mind, Brain, and Education, 7(1), 49–55. https://doi.org/10.1111/mbe.12007
- Hegarty, M., Keehner, M., Khooshabeh, P., & Montello, D. R. (2009). How spatial abilities enhance, and are enhanced by, dental education. Learning and Individual Differences, 19(1), 61–70. https://doi.org/10.1016/j.lindif.2008.04.006
- Hodgkiss, A., Gilligan, K. A., Tolmie, A. K., Thomas, M. S. C., & Farran, E. K. (2018). Spatial cognition and science achievement: The contribution of intrinsic and extrinsic spatial skills from 7 to 11 years. British Journal of Educational Psychology, 88(4), 675–697. https://doi.org/10.1111/bjep.12211
- Humphreys, L. G., Lubinski, D., & Yao, G. (1993). Utility of predicting group membership and the role of spatial visualization in becoming an engineer, physical scientist, or artist. Journal of Applied Psychology, 78(2), 250–261. https://doi.org/10.1037/0021-9010.78.2.250
- Kahl, T., Grob, A., Segerer, R., & Möhring, W. (2021). Executive functions and visual-spatial skills predict mathematical achievement: Asymmetrical associations across age. Psychological Research, 85(1), 36–46. https://doi.org/10.1007/s00426-019-01249-4
- Kaya, S., & Kablan, Z. (2013). Assessing the relationship between learning strategies and science achievement at the primary school level. Journal of Baltic Science Education, 12(4), 525–534. https://doi.org/10.33225/jbse/13.12.525
- Kozhevnikov, M., & Thornton, R. (2006). Real-time data display, spatial visualization ability, and learning force and motion concepts. Journal of Science Education and Technology, 15(1), 111–132. https://doi.org/10.1007/s10956-006-0361-0
- Li, Y., & Geary, D. C. (2013). Developmental gains in visuospatial memory predict gains in mathematics achievement. PLoS ONE, 8(7), e70160. https://doi.org/10.1371/journal.pone.0070160
- Lohman, D. F. (1996). Spatial ability and g. In I. Dennis & P. Tapsfield (Eds.), Human abilities: Their nature and assessment (pp. 97–116). Lawrence Erlbaum.
- Lowrie, T., Logan, T., & Hegarty, M. (2019). The influence of spatial visualization training on students’ spatial reasoning and mathematics performance. Journal of Cognition and Development, 20(5), 729–751. https://doi.org/10.1080/15248372.2019.1653298
- Lubinski, D., & Benbow, C. P. (2006). Study of mathematically precocious youth after 35 years: Uncovering antecedents for the development of math-science expertise. Perspectives on Psychological Science, 1(4), 316–345. https://doi.org/10.1111/j.1745-6916.2006.00019.x
- Martin, A., Ryan, R. M., & Brooks-Gunn, J. (2013). Longitudinal associations among interest, persistence, supportive parenting, and achievement in early childhood. Early Childhood Research Quarterly, 28(4), 658–667. https://doi.org/10.1016/j.ecresq.2013.05.003
- McGrew, K. S., & Evans, J. J. (2004). Internal and external factorial extensions to the Cattell-Horn-Carroll (CHC) theory of cognitive abilities: A review of factor analytic research since Carroll’s seminal 1993 treatise. Institute for Applied Psychometrics.
- Mix, K. S., & Cheng, Y.-L. (2012). The relation between space and math: Developmental and educational implications. Advances in Child Development and Behavior, 42, 197–243. https://doi.org/10.1016/B978-0-12-394388-0.00006-X
- Mix, K. S., Levine, S. C., Cheng, Y.-L., Young, C., Hambrick, D. Z., Ping, R., & Konstantopoulos, S. (2016). Separate but correlated: The latent structure of space and mathematics across development. Journal of Experimental Psychology: General, 145(9), 1206–1227. https://doi.org/10.1037/xge0000182
- Mullis, I. V., & Martin, M. O. (2017). TIMSS 2019 assessment frameworks. ERIC.
- National Research Council. (2013). Next generation science standards: For states, by states.
- Newcombe, N. S. (2010). Picture this: Increasing math and science learning by improving spatial thinking. American Educator, 34(2), 29.
- Oliver, P. H., Guerin, D. W., & Gottfried, A. W. (2007). Temperamental task orientation: Relation to high school and college educational accomplishments. Learning and Individual Differences, 17(3), 220–230. https://doi.org/10.1016/j.lindif.2007.05.004
- Owens, T. M. (2009). Improving science achievement through changes in education policy. Science Educator, 18(2), 49–55.
- Paulhus, D. L., Lysy, D. C., & Yik, M. S. (1998). Self-report measures of intelligence: Are they useful as proxy IQ tests? Journal of Personality, 66(4), 525–554. https://doi.org/10.1111/1467-6494.00023
- Rasmussen, C., & Bisanz, J. (2005). Representation and working memory in early arithmetic. Journal of Experimental Child Psychology, 91(2), 137–157. https://doi.org/10.1016/j.jecp.2005.01.004
- Raven, J. C., & John Hugh Court. (1998). Raven’s progressive matrices and vocabulary scales (Vol. 759). Oxford Pyschologists Press.
- Rule, A. C. (2016). Spatial thinking skills and STEM connections: How does this issue address them? Journal of STEM Arts, Crafts, and Constructions, 1(2), 1.
- Scheffler, I. (2013). Of human potential: An essay in the philosophy of education. Routledge.
- Shea, D. L., Lubinski, D., & Benbow, C. P. (2001). Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study. Journal of Educational Psychology, 93(3), 604–614. https://doi.org/10.1037/0022-0663.93.3.604
- Shearer, C. B. (2007). The MIDAS: Professional manual (Rev. ed.). MI Re- search and Consulting.
- Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171(3972), 701–703. https://doi.org/10.1126/science.171.3972.701
- Stieff, M. (2004). A localized model of spatial cognition in chemistry. Northwestern University.
- Stieff, M. (2007). Mental rotation and diagrammatic reasoning in science. Learning and Instruction, 17(2), 219–234. https://doi.org/10.1016/j.learninstruc.2007.01.012
- Stieff, M. (2013). Sex differences in the mental rotation of chemistry representations. Journal of Chemical Education, 90(2), 165–170. https://doi.org/10.1021/ed300499t
- Stull, A. T., Hegarty, M., Dixon, B., & Stieff, M. (2012). Representational translation with concrete models in organic chemistry. Cognition and Instruction, 30(4), 404–434. https://doi.org/10.1080/07370008.2012.719956
- Uttal, D. H., & Cohen, C. A. (2012). Spatial thinking and STEM education. Psychology of Learning and Motivation, 57, 147–181. https://doi.org/10.1016/B978-0-12-394293-7.00004-2
- Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352–402. https://doi.org/10.1037/a0028446
- Visser, B. A., Ashton, M. C., & Vernon, P. A. (2008). What makes you think you’re so smart?: Measured abilities, personality, and sex differences in relation to self-estimates of multiple intelligences. Journal of Individual Differences, 29(1), 35–44. https://doi.org/10.1027/1614-0001.29.1.35
- Wai, J., Lubinski, D., & Benbow, C. P. (2009). Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance. Journal of Educational Psychology, 101(4), 817–835. https://doi.org/10.1037/a0016127
- Wai, J., Lubinski, D., Benbow, C. P., & Steiger, J. H. (2010). Accomplishment in science, technology, engineering, and mathematics (STEM) and its relation to STEM educational dose: A 25-year longitudinal study. Journal of Educational Psychology, 102(4), 860–871. https://doi.org/10.1037/a0019454
- Wang, L., Li, M., Yang, T., Wang, L., & Zhou, X. (2021). Mathematics meets science in the brain. Cerebral Cortex, 32(1), 123–136. https://doi.org/10.1093/cercor/bhab198
- Webb, R. M., Lubinski, D., & Benbow, C. P. (2007). Spatial ability: A neglected dimension in talent searches for intellectually precocious youth. Journal of Educational Psychology, 99(2), 397–420. https://doi.org/10.1037/0022-0663.99.2.397
- Wolfgang, C. H., Stannard, L. L., & Jones, I. (2001). Block play performance among preschoolers as a predictor of later school achievement in mathematics. Journal of Research in Childhood Education, 15(2), 173–180. https://doi.org/10.1080/02568540109594958
- Zhang, F., & Bae, C. L. (2020). Motivational factors that influence student science achievement: A systematic literature review of TIMSS studies. International Journal of Science Education, 42(17), 2921–2944. https://doi.org/10.1080/09500693.2020.1843083
- Zou, G. Y. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 399–413. https://doi.org/10.1037/1082-989X.12.4.399
- Zwaan, R. A., & Radvansky, G. A. (1998). Situation models in language comprehension and memory. Psychological Bulletin, 123(2), 162–185. https://doi.org/10.1037/0033-2909.123.2.162