Abstract
The cognitive and social aspects of students’ learning process in acquiring scientific, tiered system of knowledge are explored by using an agent-based-model. Cognitive aspects of learning are described as foraging for the best explanations on epistemic landscapes, whose tiered structures are set by instructional design. The sociodynamic aspects of learning are described as an agent-based model, where agents compare and adjust their proficiency through peer-to-peer comparisons. The results show that even in cases where social learning is unbiased, social learning has a substantial effect on learning outcomes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Amin, T.G., Smith, C.L., Wiser, M.: Student conceptions and conceptual change. In: Lederman, N.G., Abell, S.K. (eds.) Handbook of Reseach on Science Education, pp. 57–81. Routledge, New York (2014)
Gupta, A., Hammer, D., Redish, E.F.: The case for dynamic models of learners’ ontologies in physics. J. Learn. Sci. 19, 285–321 (2010)
Brown, D.E.: Students’ conceptions as dynamically emergent structures. Sci. Educ. 23, 1463–1483 (2014)
Koponen, I.T., Kokkonen, T.: A Systemic view of the learning and differentiation of scientific concepts: the case of electric current and voltage revisited. Frontline Learn. Res. 4, 140–166 (2014)
Kokkonen, T., Mäntylä, T.: Changes in university students’ explanation models of DC circuits. Res. Sci. Educ. 48, 753–775 (2018)
Bandura, A.: Toward a psychology of human agency. Perspect. Psychol. Sci. 1, 164–180 (2006)
Lawler, E.J.: An affect theory of social exchange. Am. J. Soc. 107, 321–352 (2001)
McKenzie, A., Himmelreich, J., Thompson, C.: Epistemic landscapes, optimal search and the division of cognitive labor. Philos. Sci. 82, 424–453 (2015)
Fernández Pinto, M., Fernández Pinto, D.: Epistemic landscapes reloaded: an examination of agent-based models in social epistemology. Hist. Soc. Res. 43, 48–71 (2018)
Koponen, I.T., Kokkonen, T., Nousiainen, M.: Modelling sociocognitive aspects of students’ learning. Phys. A 470, 68–81 (2017)
Yukalov, V.I., Sornette, D.: Quantum probabilities as behavioral probabilities. Entropy 19, 112 (2017)
Laciana, A.C., Oteiza-Aguirre, N.: An agent based multi-optional model for the diffusion of innovations. Phys. A 394, 254–265 (2014)
Lipowski, A., Lipowska, D.: Roulette-wheel selection via stochastic acceptance. Phys. A 391, 2193–2196 (2012)
Grow, A., Flache, A., Wittek, R.: An Agent-based model of status construction in task focused groups. J. Artif. Soc. Soc. Simul. 18, 4 (2015)
Caram, L.F., Caiafa, C.F., Ausloos, M., Proto, A.N.: Cooperative peer-to-peer multiagent-based systems. Phys. Rev. E 92, 022805 (2015)
Braithwaite, D.W., Goldstone, R.L.: Effects of variation and prior knowledge on abstract concept learning. Cogn. Instr. 33, 226–256 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Koponen, I.T. (2019). Agent-Based-Model of Students’ Sociocognitive Learning Process in Acquiring Tiered Knowledge. In: Agarwal, N., Sakalauskas, L., Weber, GW. (eds) Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies. MSBC 2019. Communications in Computer and Information Science, vol 1079. Springer, Cham. https://doi.org/10.1007/978-3-030-29862-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-29862-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29861-6
Online ISBN: 978-3-030-29862-3
eBook Packages: Computer ScienceComputer Science (R0)