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In Control of Your Instructor: Modeling Learner-Controlled Mental Model Learning

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Mental Models and Their Dynamics, Adaptation, and Control

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 394))

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Abstract

Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (first-order) mental network adaptation. Such learning often integrates learning by observation and learning by instruction. For an effective learning process, an appropriate timing of these different elements is crucial. By controlling the timing of them, the mental network adaptation process becomes adaptive itself, which is called second-order mental network adaptation. In this chapter, a second-order adaptive mental network model is proposed addressing this. The first-order adaptation process models the learning process of mental models and the second-order adaptation process controls the timing of the elements of this learning process. It is illustrated by a case study for the learner-controlled mental model learning in the context of driving a car. Here the learner is in control of the integration of learning by observation and learning by instruction.

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References

  • Abraham, W.C., Bear, M.F.: Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. 19(4), 126–130 (1996)

    Article  Google Scholar 

  • Annett, J., Kay, H.: Knowledge of results and skilled performance. Occup. Psychol. 31, 69–79 (1957)

    Google Scholar 

  • Benbassat, J.: Role modeling in medical education: the importance of a reflective imitation. Acad. Med. 89(4), 550–554 (2014)

    Article  Google Scholar 

  • Bhalwankar, R., Treur, J.: A second-order adaptive network model for learner-controlled mental model learning processes. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds.) Complex Networks & Their Applications IX. Proceedings COMPLEX NETWORKS 2020. Studies in Computational Intelligence, vol. 944, pp. 245–259. Springer Nature Switzerland AG (2021a)

    Google Scholar 

  • Bhalwankar, R., Treur, J.: Modeling the development of internal mental models by an adaptive network model. In: Proceedings of the 11th Annual International Conference on Brain-Inspired Cognitive Architectures for AI, BICA*AI’20. Procedia Computer Science, vol. 190(4), pp. 90–101. Elsevier (2021b)

    Google Scholar 

  • Buckley, B.C.: Interactive multimedia and model-based learning in biology. Int. J. Sci. Educ. 22(9), 895–935 (2000)

    Article  Google Scholar 

  • Craik, K.J.W.: The Nature of Explanation. Cambridge University Press (1943)

    Google Scholar 

  • Devi, R., Tiberghien, A., Baker, M.J., Brna, P.: Modelling Students’ construction of energy models in physics. Instr. Sci. 24, 259–293 (1996)

    Article  Google Scholar 

  • Doll, B.B., Simon, D.A., Daw, N.D.: The ubiquity of model-based reinforcement learning. Curr. Opin. Neurobiol. 22, 1075–1081 (2012)

    Article  Google Scholar 

  • Ellison, C.G., Bradshaw, M., Kuyel, N., Marcum, J.P.: Attachment to God, stressful life events, and changes in psychological distress. Rev. Relig. Res. 53(4), 493–511 (2012)

    Article  Google Scholar 

  • Fein, R.M., Olson, G.M., Olson, J.S.: A mental model can help with learning to operate a complex device. In: The Interact’93 and Chi’93 Conferences Companion on Human Factors in Computing Systems, pp. 157–158. ACM Press, New York (1993.

    Google Scholar 

  • Garcia, R.: Stress, metaplasticity, and antidepressants. Curr. Mol. Med. 2, 629–638 (2002)

    Article  Google Scholar 

  • Gentner, D., Stevens, A.L.: Mental Models. Erlbaum, Hillsdale, NJ (1983)

    Google Scholar 

  • Gibbons, J., Gray, M.: An integrated and experience-based approach to social work education: the Newcastle model. Soc. Work. Educ. 21(5), 529–549 (2002)

    Article  Google Scholar 

  • Greca, I.M., Moreira, M.A.: Mental models, conceptual models, and modelling. Int. J. Sci. Educ. 22(1), 1–11 (2000)

    Article  Google Scholar 

  • Halloun, I.: Schematic modelling for meaningful learning of physics. J. Res. Sci. Teach. 33, 1019–1041 (1996)

    Article  Google Scholar 

  • Hebb, D.O.: The Organization of Behavior: A Neuropsychological Theory. Wiley (1949)

    Google Scholar 

  • Hogan, K.E., Pressley, M.E.: Scaffolding Student Learning: Instructional Approaches and Issues. Brookline Books (1997)

    Google Scholar 

  • Hurley, S.: The shared circuits model (SCM): how control, mirroring, and simulation can enable imitation, deliberation, and mindreading. Behav. Brain Sci. 31(1), 1–22 (2008)

    Article  Google Scholar 

  • Johnson-Laird, P.N.: Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Harvard University Press (1983)

    Google Scholar 

  • Johnson-Laird, P.N.: Mental models. In: Posner, M.I. (ed.) Foundations of cognitive science, pp. 469–499. The MIT Press (1989)

    Google Scholar 

  • Keysers, C., Gazzola, V.: Hebbian learning and predictive mirror neurons for actions, sensations and emotions. Philos Trans R Soc Lond B Biol Sci 369, 20130175 (2014)

    Article  Google Scholar 

  • Kieras, D.E., Bovair, S.: The role of a mental model in learning to operate a device. Cogn. Sci. 8(3), 255–273 (1984)

    Article  Google Scholar 

  • Kim, D.: The link between individual and organizational learning. In: Starkey, K.,Tempest, S., Mckinlay, A. (eds.) How Organizations Learn, 2nd edn., pp. 29–50. Thomson Learning, London (2004)

    Google Scholar 

  • De Kleer, J., Brown, J.: Assumptions and ambiguities in mechanistic mental models. Gentner, D., Stevens, A. (eds.) Mental Models, pp. 155–190. Lawrence Erlbaum, Hillsdale NJ (1983)

    Google Scholar 

  • Kozma, R.B.: Learning with media. Rev. Educ. Res. 61(2), 179–211 (1991)

    Article  Google Scholar 

  • Magerl, W., Hansen, N., Treede, R.D., Klein, T.: The human pain system exhibits higher-order plasticity (metaplasticity). Neurobiol. Learn. Mem. 154, 112–120 (2018)

    Article  Google Scholar 

  • Mayer, R.E.: Models for understanding. Rev. Educ. Res. 59(1), 43–64 (1989)

    Article  Google Scholar 

  • Meela, P., Yuenyong, C.: The study of grade 7 mental model about properties of gas in science learning through model based inquiry (MBI). In: Proc. of the International Conference for Science Educators and Teachers, pp. 1–6. AIP Conference Proceedings, vol. 2081(030028). AIP Publishing LLC (2019)

    Google Scholar 

  • Neilson, D., Campbell, T., Allred, B.: Model-based inquiry: a buoyant force module for high school physics classes. Sci. Teach. 77(8), 38–43 (2010)

    Google Scholar 

  • Norman, D.A.: Some observations on mental models. In: Gentner, D., Stevens, A.L. (eds.) Mental Models, pp. 7–14. Lawrence Erlbaum Associates, Publishers Inc. Hillsdale, NJ (1983)

    Google Scholar 

  • Olson, J.R.: The what and why of mental models in human computer interaction. In: Booth, P.A. (ed.) Mental Models in Everyday Activities, pp. 132–146. Robinson College (1992)

    Google Scholar 

  • Piaget, J.: Origins of Intelligence in the Child. Routledge & Kegan Paul, London (1936)

    Google Scholar 

  • Rizzolatti, G., Craighero, L.: The mirror-neuron system. Annu. Rev. Neurosci. 27, 169–192 (2004)

    Article  Google Scholar 

  • Robinson, B.L., Harper, N.S., McAlpine, D.: Meta-adaptation in the auditory midbrain under cortical influence. Nat. Commun. 7, 13442 (2016)

    Article  Google Scholar 

  • Rouse, W.B., Morris, N.M.: On looking into the black box: prospects and limits in the search for mental models. Psychol. Bull. 100(3), 349–363 (1986)

    Article  Google Scholar 

  • Rumelhart, D.E., Smolensky, P., McClelland, J.L., Hinton, G.E.: Schemata and sequential thought processes in PDP models. In: McClelland, J.L., Rumelhart, D.E., The PDP research group (eds.) Parallel Distributed Processing. Explorations in the Microstructure of Cognition. Psychological and Biological Models, vol 2, pp. 7–57. MIT Press, Cambridge MA (1986)

    Google Scholar 

  • Seel, N.M.: World Knowledge and Mental Models (in German). Hogrefe, Göttingen (1991)

    Google Scholar 

  • Seel, N.M.: Mental models in learning situations. In: Advances in Psychology, vol. 138, pp. 85–107. North-Holland, Amsterdam (2006)

    Google Scholar 

  • Shatz, C.J.: The developing brain. Sci. Am. 267, 60–67 (1992). https://doi.org/10.1038/scientificamerican0992-60

  • Skemp, R.R.: The Psychology of Learning Mathematics. Penguin Books, Harmondsworth (1971)

    Google Scholar 

  • Treur, J.: Modeling higher-order adaptivity of a network by multilevel network reification. Netw. Sci. 8, S110–S144 (2020)

    Article  Google Scholar 

  • Treur, J., Van Ments, L. (eds.): Mental Models and their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach. Springer Nature Switzerland, this volume (2022)

    Google Scholar 

  • Treur, J.: Multilevel network reification: representing higher-order adaptivity in a network. In: Proc. of the 7th International Conference on Complex Networks and their Applications, Complex Networks’18, vol. 1. Studies in Computational Intelligence, vol. 812, pp. 635–651. Springer Nature Publishing, Cham, Switzerland (2018)

    Google Scholar 

  • Treur, J.: Network-Oriented Modeling for Adaptive Networks: Designing Higher-order Adaptive Biological, Mental and Social Network Models. Cham, Switzerland: Springer Nature (2020b)

    Google Scholar 

  • Van Ments, L., Roelofsma, P., Treur, J.: Modelling the effect of religion on human empathy based on an adaptive temporal–causal network model. Comput. Soc. Netw. 5(1), e1 (2018)

    Google Scholar 

  • Van Ments, L., Treur, J.: Reflections on dynamics, adaptation and control: a cognitive architecture for mental models. Cogn. Syst. Res. 70, 1–9 (2021)

    Article  Google Scholar 

  • Van Gog, T., Paas, F., Marcus, N., Ayres, P., Sweller, J.: The mirror neuron system and observational learning: implications for the effectiveness of dynamic visualizations. Educ. Psychol. Rev. 21(1), 21–30 (2009)

    Article  Google Scholar 

  • Welford, A.T.: Fundamentals of Skill. Methuen, London (1968)

    Google Scholar 

  • Yi, M.Y., Davis, F.D.: Developing and validating an observational learning model of computer software training and skill acquisition. Inf. Syst. Res. 14(2), 146–169 (2003)

    Article  Google Scholar 

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Correspondence to Jan Treur .

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Bhalwankar, ., Treur, J. (2022). In Control of Your Instructor: Modeling Learner-Controlled Mental Model Learning. In: Treur, J., Van Ments, L. (eds) Mental Models and Their Dynamics, Adaptation, and Control. Studies in Systems, Decision and Control, vol 394. Springer, Cham. https://doi.org/10.1007/978-3-030-85821-6_9

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