Preschool Children’s Science Learning: Instructional Approaches and Individual Differences

References

• Alfieri, L., Brooks, P. J., Aldrich, N. J., & Tenenbaum, H. R. (2011). Does discovery-based instruction enhance learning? Journal of Educational Psychology, 103(1), 1–18. https://doi.org/10.1037/a0021017
   Web of Science ®Google Scholar
• Baker, H., Haubmann, A., Kloos, H., & Fisher, A. (2011). Preschoolers’ learning about buoyancy: Does it help to give away the answer? In Proceedings of the First Joint International Conference on Learning and Development and Epigenetic Robotics, IEEE, Frankfurt, Germany.
   Google Scholar
• Bascandziev, I., Powell, L. J., Harris, P. L., & Carey, S. (2016). A role for executive functions in explanatory understanding of the physical world. Cognitive Development, 39, 71–85. https://doi.org/10.1016/j.cogdev.2016.04.001
   Web of Science ®Google Scholar
• Bascandziev, I., Tardiff, N., Zaitchik, D., & Carey, S. (2018). The role of domain-general cognitive resources in children’s construction of a vitalist theory of biology. Cognitive Psychology, 104, 1–28. https://doi.org/10.1016/j.cogpsych.2018.03.002
   PubMed Web of Science ®Google Scholar
• Bonawitz, E., Shafto, P., Gweon, H., Goodman, N. D., Spelke, E., & Schulz, L. (2011). The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery. Cognition, 120(3), 322–330. https://doi.org/10.1016/j.cognition.2010.10.001
   PubMed Web of Science ®Google Scholar
• Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53(1), 371–399. https://doi.org/10.1146/annurev.psych.53.100901.135233
   PubMed Web of Science ®Google Scholar
• Bruner, J. S. (1961). The act of discovery. Harvard Educational Review, 31(1), 21–32.
   Web of Science ®Google Scholar
• Butts, D. P., Hoffman, H., & Anderson, M. (1993). Is hands-on experience enough? A study of young children’s views of sinking and floating objects. Journal of Elementary Science Education, 5(1), 50–64. https://doi.org/10.1007/BF03170644
   Google Scholar
• Carey, S. (1985). Conceptual change in childhood. MIT Press.
   Google Scholar
• Carey, S. (2000). Science education as conceptual change. Journal of Applied Developmental Psychology, 21(1), 13–19. http://doi.org/10.1016/S0193-3973(99)00046-5
   Web of Science ®Google Scholar
• Carey, S. (2009). The origin of concepts. Oxford University Press.
   Google Scholar
• Carlson, S. M. (2021). Minnesota executive function scale. (Technical Report). Reflection Sciences, Inc.
   Google Scholar
• Carlson, S. M., Moses, L. J., & Breton, C. (2002). How specific is the relation between executive function and theory of mind? Contributions of inhibitory control and working memory. Infant and Child Development, 11(2), 73–92. https://doi.org/10.1002/icd.298
   Web of Science ®Google Scholar
• Carlson, S. M., & Zelazo, P. D. (2014). Minnesota executive function scale. Reflection Sciences, LLC.
   Google Scholar
• Carlson, S. M., Zelazo, P. D., & Faja, S. (2013). Executive function. In P. D. Zelazo (Ed.), Oxford handbook of developmental psychology, Vol. 1: Body and mind (pp. 706–743). Oxford University Press.
   Google Scholar
• Connor, C. M., Morrison, F. J., & Katch, L. E. (2004). Beyond the reading wars: Exploring the effect of child-instruction interactions on growth in early reading. Scientific Studies of Reading, 8(4), 305–336. https://doi.org/10.1207/s1532799xssr0804_1
   Web of Science ®Google Scholar
• Curran, F. C., & Kellogg, A. T. (2016). Understanding science achievement gaps by race/ethnicity and gender in kindergarten and first grade. Educational Researcher, 45(5), 273–282. https://doi.org/10.3102/0013189X16656611
   Web of Science ®Google Scholar
• Curran, F. C., & Kitchin, J. (2019). Early elementary science instruction: Does more time on science or science topics/skills predict science achievement in the early grades? American Educational Research Association Open, 5(3), 1–18. https://doi.org/10.1177/2332858419861081
   Google Scholar
• Duncan, G. J., Yeung, W. J., Brooks-Gunn, J., & Smith, J. R. (1998). How much does childhood poverty affect the life chances of children? American Sociological Review, 63(3), 406–423. https://doi.org/10.2307/2657556
   Web of Science ®Google Scholar
• Entwisle, D. R., Alexander, K. L., & Olson, L. S. (2005). First grade and educational attainment by age 22: A new story. American Journal of Sociology, 110(5), 1458–1502. https://doi.org/10.1086/428444
   Web of Science ®Google Scholar
• Fisher, K. R., Hirsh-Pasek, K., Newcombe, N., & Golinkoff, R. M. (2013). Taking shape: Supporting preschoolers’ acquisition of geometric knowledge through guided play. Child Development, 84(6), 1872–1878. https://doi.org/10.1111/cdev.12091
   PubMed Web of Science ®Google Scholar
• Grenell, A., & Carlson, S. M. (2021). Individual differences in young children’s executive function and learning: Role of type of knowledge and conflict with prior knowledge. Journal of Experimental Child Psychology, 206, 1–19. https://doi.org/10.1016/j.jecp.2020.105079
   Web of Science ®Google Scholar
• Hardy, I., Jonen, A., Moller, K., & Stern, E. (2006). Effects of instructional support within constructivist learning environments for elementary school students’ understanding of “floating and sinking”. Journal of Educational Psychology, 98(2), 307–326. https://doi.org/10.1037/0022-0663.98.2.307
   Web of Science ®Google Scholar
• Hardy, I., Saalbach, H., Leuchter, M., & Schalk, L. (2020). Preschoolers’ induction of the concept of material kind to make predictions: The effects of comparison and linguistic labels. Frontiers in Psychology, 11, 1–14. https://doi.org/10.3389/fpsyg.2020.531503
   PubMed Web of Science ®Google Scholar
• Hart, C. H., Burts, D. C., Durland, M. A., Charlesworth, R., DeWolf, M., & Fleege, P. O. (1998). Stress behaviors and activity type participation of preschoolers in more and less developmentally appropriate classrooms: SES and Sex differences. Journal of Research in Childhood Education, 12(2), 176–196. https://doi.org/10.1080/02568549809594883
   Google Scholar
• Homer, B. D., & Plass, J. L. (2014). Level of interactivity and executive functions as predictors of learning in computer-based chemistry simulations. Computers in Human Behavior, 36, 365–375. https://doi.org/10.1016/j.chb.2014.03.041
   Web of Science ®Google Scholar
• Hong, S. H., & Diamond, K. E. (2012). Two approaches to teaching young children science concepts, vocabulary, and scientific problem-solving skills. Early Childhood Research Quarterly, 27(2), 295–305. https://doi.org/10.1016/j.ecresq.2011.09.006
   Web of Science ®Google Scholar
• Honomichl, R. D., & Chen, Z. (2012). The role of guidance in children’s discovery learning. WIREs Cognitive Science, 3, 615–622. https://doi.org/10.1002/wcs.1199 (6)
   Web of Science ®Google Scholar
• Hsin, C.-T., & Wu, H.-K. (2011). Using scaffolding strategies to promote young children’s scientific understandings of floating and sinking. Journal of Science Education and Technology, 20(5), 656–666. https://doi.org/10.1007/s10956-011-9310-7
   Web of Science ®Google Scholar
• Kallery, M. (2015). Science in early years education: Introducing floating and sinking as a property of matter. International Journal of Early Years Education, 23(1), 31–53. https://doi.org/10.1080/09669760.2014.999646
   Web of Science ®Google Scholar
• Kikas, E., Peets, K., & Hodges, E. V. E. (2014). Collective student characteristics alter the effects of teaching practices on academic outcomes. Journal of Applied Developmental Psychology, 35(4), 273–283. https://doi.org/10.1016/j.appdev.2014.04.004
   Web of Science ®Google Scholar
• Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1
   Web of Science ®Google Scholar
• Klahr, D., & Nigam, M. (2004). The equivalence of learning paths in early science instruction: Effects of direct instruction and discovery learning. Psychological Science, 15(10), 661–667. https://doi.org/10.1111/j.0956-7976.2004.00737.x
   PubMed Web of Science ®Google Scholar
• Kloos, H., & Somerville, S. C. (2001). Providing impetus for conceptual change: The effect of organizing the input. Cognitive Development, 16(2), 737–759. https://doi.org/10.1016/S0885-2014(01)00053-3
   Web of Science ®Google Scholar
• Kloos, H., & van Orden, G. C. (2005). Can a preschooler’s mistaken belief benefit learning? Swiss Journal of Psychology, 64(3), 195–205. https://doi.org/10.1024/1421-0185.64.3.195
   Web of Science ®Google Scholar
• Koerber, S., & Osterhaus, C. (2019). Individual differences in early scientific thinking: Assessment, cognitive influences, and their relevance to science learning. Journal of Cognition and Development, 20(4), 510–533. https://doi.org/10.1080/15248372.2019.1620232
   Web of Science ®Google Scholar
• Korkman, M., Kirk, U., & Kemp, S. (1998). NEPSY: A developmental neuropsychological assessment. Psychological Corporation.
   Google Scholar
• Lee, H. S., & Anderson, J. R. (2013). Student learning: What has instruction got to do with it? Annual Review of Psychology, 64(1), 445–469. https://doi.org/10.1146/annurev-psych-113011-143833
   PubMedGoogle Scholar
• Leuchter, M., Saalbach, H., & Hardy, I. (2014). Designing science learning in the first years of schooling. An intervention study with sequenced learning material on the topic of ‘floating and sinking’. International Journal of Science Education, 36(10), 1751–1771. https://doi.org/10.1080/09500693.2013.878482
   Web of Science ®Google Scholar
• Little, T. D., Jorgensen, T. D., Lang, K. M., & Moore, E. W. G. (2014). On the joys of missing data. Journal of Pediatric Psychology, 39(2), 151–162. https://doi.org/10.1093/jpepsy/jst048
   PubMed Web of Science ®Google Scholar
• Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist, 59(1), 14–19. https://doi.org/10.1037/0003-066X.59.1.14
   PubMed Web of Science ®Google Scholar
• Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734
   PubMed Web of Science ®Google Scholar
• Morgan, P. L., Farkas, G., Hillemeier, M. M., & Maczuga, S. (2016). Science achievement gaps begin very early, persist, and are largely explained by modifiable factors. Educational Researcher, 45(1), 18–35. https://doi.org/10.3102/0013189X16633182
   Web of Science ®Google Scholar
• Piaget, J. (1970). Science of education and the psychology of the child. ( D. Coltman, Trans.). Orion.
   Google Scholar
• Piekny, J., Grube, D., & Maehler, C. (2013). The relation between preschool children’s false- belief understanding and domain-general experimentation skills. Metacognition and Learning, 8(2), 103–119. https://doi.org/10.1007/s11409-013-9097-4
   Web of Science ®Google Scholar
• Piekny, J., & Maehler, C. (2013). Scientific reasoning in early and middle childhood: The development of domain-general evidence evaluation, experimentation, and hypothesis generation skills. British Journal of Developmental Psychology, 31(2), 153–179. https://doi.org/10.1111/j.2044-835X.2012.02082.x
   PubMed Web of Science ®Google Scholar
• R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• Rittle-Johnson, B. (2006). Promoting transfer: Effects of self-explanation and direct instruction. Child Development, 77(1), 1–15. https://doi.org/10.1111/j.1467-8624.2006.00852.x
   PubMed Web of Science ®Google Scholar
• Roid, G. H. (2005). Stanford- Binet intelligence scales for early childhood manual (5th ed.). Riverside Publishing.
   Google Scholar
• Siler,S., Klahr, D., Magaro, C., Willows, K., & Mowery, D. (2010). Predictors of transfer of experimental design skills in elementary and middle school children. In V. Aleven, J. Kay, & J. Mostow (Eds.), Intelligent tutoring systems (pp. 198–208). Springer.
   Google Scholar
• Singer, J. A., Kohn, A. S., & Resnick, L. B. (1997). Knowing about proportions in different contexts. In T. Nunes & P. Bryant (Eds.), Learning and teaching mathematics: An international perspective (pp. 115–132). Psychology Press.
   Google Scholar
• Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417–453. https://doi.org/10.3102/00346543075003417
   Web of Science ®Google Scholar
• Spybrook, J., Zhang, Q., Kelcey, B., & Dong, N. (2020). Learning from cluster randomized trials in education: An assessment of the capacity of studies to determine what works, for whom, and under what conditions. Educational Evaluation and Policy Analysis, 42(3), 354–374. https://doi.org/10.3102/0162373720929018
   Web of Science ®Google Scholar
• Stipek, D. J., Feiler, R., Byler, P., Ryan, R., Milburn, S., & Salmon, J. M. (1998). Good beginnings: What difference does the program make in preparing young children for school? Journal of Applied Developmental Psychology, 19(1), 41–66. https://doi.org/10.1016/S0193-3973(99)80027-6
   Web of Science ®Google Scholar
• Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
   Web of Science ®Google Scholar
• Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–296. https://doi.org/10.1023/A:1022193728205
   Web of Science ®Google Scholar
• Tuovinen, J. E., & Sweller, J. (1999). A comparison of cognitive load associated with discovery learning and worked examples. Journal of Educational Psychology, 91(2), 334–341. https://doi.org/10.1037/0022-0663.91.2.334
   Web of Science ®Google Scholar
• Vaisarova, J., & Reynolds, A. J. (2022). Is more child-initiated always better? Exploring relations between child-initiated instruction and preschoolers’ school readiness. Educational Assessment, Evaluation and Accountability, 34(2), 195–226. https://doi.org/10.1007/s11092-021-09376-6
   PubMed Web of Science ®Google Scholar
• van Buuren, S. (2018). Flexible imputation of missing data (2nd ed.). Taylor & Francis.
   Google Scholar
• van Buuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45(3), 1–67. https://doi.org/10.18637/jss.v045.i03
   Web of Science ®Google Scholar
• van der Graaf, J., Segers, E., & Verhoeven, L. (2016). Scientific reasoning in kindergarten: Cognitive factors in experimentation and evidence evaluation. Learning and Individual Differences, 49, 190–200. https://doi.org/10.1016/j.lindif.2016.06.006
   Web of Science ®Google Scholar
• van der Graaf, J., Segers, E., & Verhoeven, L. (2018). Individual differences in the development of scientific thinking in kindergarten. Learning and Instruction, 56, 1–9. https://doi.org/10.1016/j.learninstruc.2018.03.005
   Web of Science ®Google Scholar
• van Ginkel, J. R., Linting, M., Rippe, R. C., & van der Voort, A. (2020). Rebutting existing misconceptions about multiple imputation as a method for handling missing data. Journal of Personality Assessment, 102(3), 297–308. https://doi.org/10.1080/00223891.2018.1530680
   PubMed Web of Science ®Google Scholar
• Wagensveld, B., Segers, E., Kleemans, T., & Verhoeven, L. (2015). Children predictors of learning to control variables via instruction or self-discovery. Instructional Science, 43(3), 365–379. https://doi.org/10.1007/s11251-014-9334-5
   Web of Science ®Google Scholar
• Weisberg, D. S., Hirsh-Pasek, K., Golinkoff, R. M., Kittredge, A. K., & Klahr, D. (2016). Guided play: Principles and practices. Current Directions in Psychological Science, 25(3), 177–182. https://doi.org/10.1177/0963721416645512
   Web of Science ®Google Scholar
• Wellman, H. M., & Gelman, S. A. (1992). Cognitive development: Foundational theories of core domains. Annual Review of Psychology, 43(1), 337–375. https://doi.org/10.1146/annurev.ps.43.020192.002005
   PubMed Web of Science ®Google Scholar
• Yu, Y., Bonawitz, E., & Shafto, P. (2019). Pedagogical questions in parent-child conversations. Child Development, 90(1), 147–161. https://doi.org/10.1111/cdev.12850
   PubMed Web of Science ®Google Scholar
• Yu, Y., Landrum, A. R., Bonawitz, E., & Shafto, P. (2018). Questioning supports effective transmission of knowledge and increased exploratory learning in pre-kindergarten children. Developmental Science, 21(6), 1–8. https://doi.org/10.1111/desc.12696
   Web of Science ®Google Scholar
• Zeileis, A. (2004). Econometric computing with HC and HAC covariance matrix estimators. Journal of Statistical Software, 11(10), 1–17. https://doi.org/10.18637/jss.v011.i10
   Google Scholar
• Zeileis, A., Köll, S., & Graham, N. (2020). Various versatile variances: An object–oriented implementation of clustered covariances in R. Journal of Statistical Software, 95(1), 1–36. https://doi.org/10.18637/jss.v095.i01
   Web of Science ®Google Scholar