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The “flat peer learning” agent-based model

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  • Philippe Collard

    (Université Côte d’Azur)

Abstract

This paper deals with peer learning and, in particular, with the phenomena of exclusion; it proposes to model a group of learners where everyone has his own behaviour that expresses his way of following a curriculum. The focus is on individual motivations that avoid disadvantage certain individuals while optimising behaviour at the community level; in this context, the approach is based on the belief that the induced learning dynamics can be clarified by the contribution of agent-based modelling and its entry into the field of peer learning simulation. Flat learning means here that every learner features the same initial skill level, along with the same opportunities to learn both independently and with the help of peers. To address this topic the paper proposes the Flat Peer Learning agent-based computational model inspired by the Vygotsky’s social and learning theory. The paper shows that even if strict equity could be guaranteed, educators would still be faced with the dilemma of having to choose between optimising the learning process for the group or preventing exclusion for some.

Suggested Citation

  • Philippe Collard, 2022. "The “flat peer learning” agent-based model," Journal of Computational Social Science, Springer, vol. 5(1), pages 161-187, May.
  • Handle: RePEc:spr:jcsosc:v:5:y:2022:i:1:d:10.1007_s42001-021-00120-0
    DOI: 10.1007/s42001-021-00120-0
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    References listed on IDEAS

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    3. Ismo T. Koponen & Maija Nousiainen, 2018. "An Agent-Based Model of Discourse Pattern Formation in Small Groups of Competing and Cooperating Members," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-1.
    4. Ormazábal, Ignacio & Borotto, Félix A. & Astudillo, Hernán F., 2021. "An agent-based model for teaching–learning processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
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