Allison, P. D. (2014). Event history and survival analysis: regression for longitudinal event data. USA: SAGE publications.
Book
Google Scholar
Binkley, M., Erstad, O., Herman, J., Raizen, S., Ripley, M., Miller-Ricci, M., & Rumble, M. (2012). Defining twenty-first century skills. In P. Griffin, B. McGaw, & E. Care (Eds.), Assessment and teaching of 21st century skills (pp. 17–66). Dordrecht: Springer.
Chapter
Google Scholar
Braver, T. S., Krug, M. K., Chiew, K. S., Kool, W., Westbrook, J. A., Clement, N. J., Adcock, R. A., Barch, D. M., Botvinick, M. M., Carver, C. S., Cools, R., Custers, R., Dickinson, A., Sweck, C. S., Fishbach, A., Gollwitzer, P. M., Hess, T. M., Isaacowitz, D. M., Mather, M., Murayama, K., Pessoa, L., Samanez-Larkin, G. R., & Somerville, L. H. (2014). Mechanisms of motivation–cognition interaction: challenges and opportunities. Cognitive, Affective, & Behavioral Neuroscience, 14(2), 443–472. https://doi.org/10.3758/s13415-014-0300-0.
Article
Google Scholar
Castro-Alonso, J. C., Ayres, P., & Paas, F. (2015). Animations showing Lego manipulative tasks: three potential moderators of effectiveness. Computers & Education, 85, 1–13. https://doi.org/10.1016/j.compedu.2014.12.022.
Article
Google Scholar
Chu, F. W., vanMarle, K., & Geary, D. C. (2015). Early numerical foundations of young children’s mathematical development. Journal of Experimental Child Psychology, 132, 205–212. https://doi.org/10.1016/j.jecp.2015.01.006.
Article
Google Scholar
Cosmides, L., & Tooby, J. (2004). Knowing thyself: the evolutionary psychology of moral reasoning and moral sentiments. In R. E. Freeman & P. Werhane (Eds.), Business, science, and ethics: The Ruffin series (pp. 93–128). Charlottesville, VA: Society for Business Ethics.
Google Scholar
Darnon, B., & Butera, F. (2005). Buts d'accomplissement, stratégies d'étude, et motivation intrinsèque: présentation d'un domaine de recherche et validation française de l'échelle d'Elliot et McGregor (2001). L'Année Psychologique, 105(1), 105–131.
Article
Google Scholar
Elliot, A. J., & McGregor, H. A. (2001). A 2 × 2 achievement goal framework. Journal of Personality and Social Psychology, 80(3), 501–519. https://doi.org/10.1037/0022-3514.80.3.501.
Article
Google Scholar
Elliot, A. J., & Murayama, K. (2008). On the measurement of achievement goals: Critique, illustration, and application. Journal of Educational Psychology, 100(3), 613–628. https://doi.org/10.1037/0022-0663.100.3.613.
Article
Google Scholar
Ellis, G. F. (2008). Commentary on “An evolutionarily informed education science” by David C. Geary. Educational Psychologist, 43(4), 206–213. https://doi.org/10.1080/00461520802392216.
Article
Google Scholar
Geary, D. C. (2007). Educating the evolved mind: conceptual foundations for an evolutionary educational psychology. In J. S. Carlson & J. R. Levin (Eds.), Educating the evolved mind: conceptual foundations for an evolutionary educational psychology (pp. 1–99). Greenwich: Information Age.
Google Scholar
Geary, D. C. (2008). An evolutionarily informed education science. Educational Psychologist, 43(4), 179–195. https://doi.org/10.1080/00461520802392133.
Article
Google Scholar
Geary, D. C., & Berch, D. (2015). Evolutionary approaches to understanding children’s academic achievement. In R. A. Scott & S. M. Kosslyn (Eds.), Emerging trends in the social and behavioral sciences (pp. 1–10). Hoboken: Wiley. https://doi.org/10.1002/9781118900772.etrds0123.
Chapter
Google Scholar
Geary, D. C., & Berch, D. (2016). Evolution and children’s cognitive and academic development. In D. C. Geary & D. Berch (Eds.), Evolution and children’s cognitive and academic development (pp. 217–249). Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-319-29986-0_9.
Chapter
Google Scholar
Geary, D. C., & Bjorklund, D. F. (2000). Evolutionary developmental psychology. Child Development, 71(1), 57–65. https://doi.org/10.1111/1467-8624.00118.
Article
Google Scholar
Gelin, M., Bonin, P., Méot, A., & Bugaiska, A. (2018). Do animacy effects persist in memory for context? The Quarterly Journal of Experimental Psychology, 71(4), 965–974. https://doi.org/10.1080/17470218.2017.1307866.
Article
Google Scholar
Glenberg, A. M., Goldberg, A. B., & Zhu, X. (2011). Improving early reading comprehension using embodied CAI. Instructional Science, 39(1), 27–39. https://doi.org/10.1007/s11251-009-9096-7.
Article
Google Scholar
Goldstone, R. L., & Son, J. Y. (2005). The transfer of scientific principles using concrete and idealized simulations. The Journal of the Learning Sciences, 14(1), 69–110. https://doi.org/10.1207/s15327809jls1401_4.
Article
Google Scholar
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487.
Article
Google Scholar
Huff, S. M., Stripling, C. T., Boyer, C., & Stephens, C. A. (2016). Investigating factors that influence achievement goal orientation and educational practices in undergraduate agricultural sciences and natural resource students. North American Colleges and Teachers of Agriculture Journal, 60(4), 423–431.
Google Scholar
Hummel, J. E., & Holyoak, K. J. (2005). Relational reasoning in a neurally plausible cognitive architecture an overview of the Lisa Project. Current Directions in Psychological Science, 14(3), 153–157. https://doi.org/10.1111/j.0963-7214.2005.00350.x.
Article
Google Scholar
Kaminski, J. A., Sloutsky, V. M., & Heckler, A. F. (2006). Do children need concrete instantiations to learn an abstract concept? In R. Sun & N. Miyake (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 411–416). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
Kim, C., Park, S. W., & Cozart, J. (2014). Affective and motivational factors of learning in online mathematics courses. British Journal of Educational Technology, 45(1), 171–185. https://doi.org/10.1111/j.1467-8535.2012.01382.x.
Article
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.
Article
Google Scholar
Kirschner, F., Paas, F., & Kirschner, P. A. (2011a). Task complexity as a driver for collaborative learning efficiency: the collective working-memory effect. Applied Cognitive Psychology, 25(4), 615–624. https://doi.org/10.1002/acp.1730.
Article
Google Scholar
Kirschner, F., Paas, F., Kirschner, P. A., & Janssen, J. (2011b). Differential effects of problem-solving demands on individual and collaborative learning outcomes. Learning and Instruction, 21(4), 587–599. https://doi.org/10.1016/j.learninstruc.2011.01.001.
Article
Google Scholar
Leding, J. K. (2018). The animacy advantage in memory: manipulations of levels of processing and survival processing. American Journal of Psychology, 131(3), 273–281. https://doi.org/10.5406/amerjpsyc.131.3.0273.
Article
Google Scholar
Legault, L. (2016). Intrinsic and extrinsic motivation. In Encyclopedia of personality and individual differences (pp. 1–4). https://doi.org/10.1007/978-3-319-28099-8_1139-1.
Chapter
Google Scholar
Lespiau, F., & Tricot, A. (2018). Primary knowledge enhances performance and motivation in reasoning. Learning and Instruction, 56, 10–19. https://doi.org/10.1016/j.learninstruc.2018.02.007.
Article
Google Scholar
Markovits, H., & Lortie-Forgues, H. (2011). Conditional reasoning with false premises facilitates the transition between familiar and abstract reasoning. Child Development, 82(2), 646–660. https://doi.org/10.1111/j.1467-8624.2010.01526.x.
Article
Google Scholar
Mavilidi, M. F., Okely, A. D., Chandler, P., Cliff, D. P., & Paas, F. (2015). Effects of integrated physical exercises and gestures on preschool children’s foreign language vocabulary learning. Educational Psychology Review, 27(3), 413–426. https://doi.org/10.1007/s10648-015-9337-z.
Article
Google Scholar
McNeil, N. M., & Fyfe, E. R. (2012). “Concreteness fading” promotes transfer of mathematical knowledge. Learning and Instruction, 22(6), 440–448. https://doi.org/10.1016/j.learninstruc.2012.05.001.
Article
Google Scholar
Morsanyi, K., Devine, A., Nobes, A., & Szűcs, D. (2013). The link between logic, mathematics and imagination: evidence from children with developmental dyscalculia and mathematically gifted children. Developmental Science, 16(4), 542–553. https://doi.org/10.1111/desc.12048.
Article
Google Scholar
Nairne, J. S. (2016). Adaptive memory: fitness-relevant “tunings” help drive learning and remembering. In C. D. Geary & B. D. Berch (Eds.), Evolutionary perspectives on child development and education (pp. 251–269). Cham: Springer International.
Chapter
Google Scholar
Nairne, J. S., Pandeirada, J. N. S., & Thompson, S. R. (2008). Adaptive memory: the comparative value of survival processing. Psychological Science, 19(2), 176–180. https://doi.org/10.1111/j.1467-9280.2008.02064.x.
Article
Google Scholar
Nokes-Malach, T. J., Richey, J. E., & Gadgil, S. (2015). When is it better to learn together? Insights from research on collaborative learning. Educational Psychology Review, 27(4), 645–656. https://doi.org/10.1007/s10648-015-9312-8.
Article
Google Scholar
Paas, F., & Ayres, P. (2014). Cognitive load theory: a broader view on the role of memory in learning and education. Educational Psychology Review, 26(2), 191–195. https://doi.org/10.1007/s10648-014-9263-5.
Article
Google Scholar
Paas, F., & Sweller, J. (2012). An evolutionary upgrade of cognitive load theory: using the human motor system and collaboration to support the learning of complex cognitive tasks. Educational Psychology Review, 24(1), 27–45. https://doi.org/10.1007/s10648-011-9179-2.
Article
Google Scholar
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: recent developments. Educational Psychologist, 38(1), 1–4. https://doi.org/10.1207/S15326985EP3801_1.
Article
Google Scholar
Ping, R., & Goldin-Meadow, S. (2010). Gesturing saves cognitive resources when talking about nonpresent objects. Cognitive Science, 34(4), 602–619. https://doi.org/10.1111/j.1551-6709.2010.01102.x.
Article
Google Scholar
Richerson, P. J., & Boyd, R. (2005). Not by genes alone: how culture transformed human evolution. Chicago: University of Chicago Press.
Google Scholar
Roszkowski, M. J., & Soven, M. (2010). Did you learn something useful today? An analysis of how perceived utility relates to perceived learning and their predictiveness of satisfaction with training. Performance Improvement Quarterly, 23(2), 71–91. https://doi.org/10.1002/piq.20082.
Article
Google Scholar
Roussel, S., Joulia, D., Tricot, A., & Sweller, J. (2017). Learning subject content through a foreign language should not ignore human cognitive architecture: a cognitive load theory approach. Learning and Instruction, 52, 69–79. https://doi.org/10.1016/j.learninstruc.2017.04.007.
Article
Google Scholar
Ryan, R., & Deci, E. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67.
Article
Google Scholar
Stanovich, K. E., & West, R. F. (2000). Individual differences in reasoning: implications for the rationality debate? Behavioral and Brain Sciences, 23(05), 701–717.
Article
Google Scholar
Sweller, J. (2008). Instructional implications of David C. Geary’s evolutionary educational psychology. Educational Psychologist, 43(4), 214–216. https://doi.org/10.1080/00461520802392208.
Article
Google Scholar
Sweller, J. (2015). In academe, what is learned, and how is it learned? Current Directions in Psychological Science, 24(3), 190–194. https://doi.org/10.1177/0963721415569570.
Article
Google Scholar
Sweller, J. (2016). Cognitive load theory, evolutionary educational psychology, and instructional design. In D. C. Geary & D. Berch (Eds.), Evolution and children’s cognitive and academic development (pp. 291–306). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-29986-0_9.
Chapter
Google Scholar
Sweller, J., & Sweller, S. (2006). Natural information processing systems. Evolutionary Psychology, 4(1), 434–458. https://doi.org/10.1177/147470490600400135.
Article
Google Scholar
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.
Book
Google Scholar
Toumpaniari, K., Loyens, S., Mavilidi, M. F., & Paas, F. (2015). Preschool children’s foreign language vocabulary learning by embodying words through physical activity and gesturing. Educational Psychology Review, 27(3), 445–456. https://doi.org/10.1007/s10648-015-9316-4.
Article
Google Scholar
Tricot, A. (2018). Scientific reasoning as domain specific knowledge. In F. Fisher, C. Chinn, K. Engelmann, & J. Osborne (Eds.), Scientific reasoning and argumentation: the roles of domain-specific and domain-general knowledge (pp. 271–277). New York: Routledge.
Google Scholar
Van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J. (2009). The mirror neuron system and observational learning: implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 21(1), 21–30. https://doi.org/10.1007/s10648-008-9094-3.
Article
Google Scholar
Youssef, A., Ayres, P., & Sweller, J. (2012). Using general problem-solving strategies to generate ideas in order to solve geography problems. Applied Cognitive Psychology, 26(6), 872–877. https://doi.org/10.1002/acp.2888.
Article
Google Scholar
Youssef-Shalala, A., Ayres, P., Schubert, C., & Sweller, J. (2014). Using a general problem-solving strategy to promote transfer. Journal of Experimental Psychology: Applied, 20(3), 215–231. https://doi.org/10.1037/xap0000021.
Article
Google Scholar