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Integrative learning in the lens of meta-learned models of cognition: Impacts on animal and human learning outcomes

Published online by Cambridge University Press:  23 September 2024

Bin Yin Open the ORCID record for Bin Yin [Opens in a new window] ,
Xi-Dan Xiao Open the ORCID record for Xi-Dan Xiao [Opens in a new window] ,
Xiao-Rui Wu Open the ORCID record for Xiao-Rui Wu [Opens in a new window]  and
Rong Lian Open the ORCID record for Rong Lian [Opens in a new window]
Bin Yin*
Affiliation:
School of Psychology, Fujian Normal University, Fuzhou, China. byin@fjnu.edu.cn Xiaoxid8899@foxmail.com Wuxiaorui520@hotmail.com Lianrong1122@126.com
Xi-Dan Xiao
Affiliation:
School of Psychology, Fujian Normal University, Fuzhou, China. byin@fjnu.edu.cn Xiaoxid8899@foxmail.com Wuxiaorui520@hotmail.com Lianrong1122@126.com
Xiao-Rui Wu
Affiliation:
School of Psychology, Fujian Normal University, Fuzhou, China. byin@fjnu.edu.cn Xiaoxid8899@foxmail.com Wuxiaorui520@hotmail.com Lianrong1122@126.com
Rong Lian
Affiliation:
School of Psychology, Fujian Normal University, Fuzhou, China. byin@fjnu.edu.cn Xiaoxid8899@foxmail.com Wuxiaorui520@hotmail.com Lianrong1122@126.com
*
*Corresponding author.
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Abstract

This commentary examines the synergy between meta-learned models of cognition and integrative learning in enhancing animal and human learning outcomes. It highlights three integrative learning modes – holistic integration of parts, top-down reasoning, and generalization with in-depth analysis – and their alignment with meta-learned models of cognition. This convergence promises significant advances in educational practices, artificial intelligence, and cognitive neuroscience, offering a novel perspective on learning and cognition.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 47 , 2024 , e169
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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References

Bueno, S., & Frenck-Mestre, C. (2002). Rapid activation of the lexicon: A further investigation with behavioral and computational results. Brain and Language, 81(1–3), 120–130. http://doi.org/10.1006/brln.2001.2511CrossRefGoogle ScholarPubMed
Chen, S. (2023). The effect of integrative learning on text reading in elementary and university students (Master's thesis). Fujian Normal University.Google Scholar
García Madruga, J. A., Elosúa, M. R., Gil, L., Gómez Veiga, I., Vila, J. Ó., Orjales, I., … Duque, G. (2013). Reading comprehension and working memory's executive processes: An intervention study in primary school students. Reading Research Quarterly, 48(2), 155–174. http://doi.org/10.1002/rrq.44CrossRefGoogle Scholar
Huang, J. (2021). The influence of integrative learning on recognition and retrieval of image and text (Master's thesis). Fujian Normal University. http://doi.org/10.27019/d.cnki.gfjsu.2021.000798CrossRefGoogle Scholar
Lan, R. (2022). The memory advantage effect of top-down reasoning and its cognitive neural mechanism (Master's thesis). Fujian Normal University. https://doi.org/10.27019/d.cnki.gfjsu.2022.000519CrossRefGoogle Scholar
Lian, R. (2018). Integrative learning: Exploring new ways of learning. Fujian Provincial Learning Science Society Symposium, Fuzhou, China.Google Scholar
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32(1), 1–19. https://doi.org/10.1207/s15326985ep3201_1CrossRefGoogle Scholar
Meyer, D. E., & Schvaneveldt, R. W. (1971). Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology, 90(2), 227–234. http://dx.doi.org/10.1037/h0031564CrossRefGoogle ScholarPubMed
Rabinowitz, N. C. (2019). Meta-learners' learning dynamics are unlike learner'. arXiv preprint arXiv:1905.01320. https://doi.org/10.48550/arXiv.1905.01320CrossRefGoogle Scholar
Wu, S., Tian, L., Chen, J., Chen, G., & Wang, J. (2021). Exploring the cognitive mechanism of irrelevant speech effect in Chinese reading: Evidence from eye movements. Acta Psychologica Sinica, 53(7), 729–745. http://dx.doi.org/10.3724/SP.J.1041.2021.00729CrossRefGoogle Scholar
Yin, B., Wu, X., & Lian, R. (2020). An animal behavioral model for the concept of “Integrative Learning”. Acta Psychologica Sinica, 52(11), 1278–1287. https://doi.org/10.3724/SP.J.1041.2020.01278CrossRefGoogle Scholar
Yin, B., Wu, X.-R., & Lian, R. (2023). “Integrative learning” promotes learning but not memory in older rats. PeerJ, 11, e15101. http://doi.org/10.7717/peerj.15101CrossRefGoogle Scholar