The Ratio of Verbal and Nonverbal Components of Individual Cognitive Maps as a Reflection of the Collaborative Thinking Activity of Its Participants


  • Denis Dautov Don State Technical University, Faculty of “Psychology, Pedagogy, Defectologists”, Department of Educational Psychology and Organizational Psychology Rostov-on-Don, Russian Federation



thinking activity, cognitive map, mental map, components of thinking activity


The presented results of the study allow us to determine the ratio of verbal and nonverbal components of thinking activity in solving problems of different types. The novelty of the research is in the use of individual cognitive maps made on the results of collaborative thinking activity in the study of possible combinations of symbolic (verbal) and figurative (nonverbal) components of internal thought processes implemented in different conditions. The study included two methodological blocks. The first of them is diagnostic. It consisted of four tasks (a verbal task with one solution, a verbal task with multiple solutions, a nonverbal task with one solution, a nonverbal task with multiple solutions), as well as a cognitive map based on the results of solving these tasks. The second block is mathematical and statistical, including the Kruskal-Wallis H-test, the Mann-Whitney U-test, and the Fried-man chi-square test. The study sample consisted of 80 students of the Don State Technical University. As a result of the study, it was found that cognitive maps created with time constraints significantly outperform cognitive maps created without such restrictions in terms of figurative, symbolic abstractness and symbolism. Cognitive maps created without time constraints significantly outperform cognitive maps created with time constraints in terms of imagery. In general, the predominance of the verbal or nonverbal components of thinking can vary significantly, but the general trend towards the predominant character of the imagery of thought processes remains.


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Baars, B. J. (2017). The Blackwell Companion to Consciousness. In Schneider S, & Velmans M (Eds), The global workspace theory of consciousness: Predictions and results (2 ed., Pp. 227-242). West Sussex, Chicheste: John Wiley & Sons Ltd. ISBN: 9780470674062.

Beel, J., & Langer, S. (2011). An exploratory analysis of mind maps. [Abstract]. In Proceedings of the 11th ACM symposium on Document engineering, 81-84.

Behrens, T. E., Muller, T. H., Whittington, J. C., Mark, S., Baram, A. B., Stachenfeld, K. L. et al. (2018). What is a cognitive map? Organizing knowledge for flexible behavior. Neuron, 100(2), 490-509.

Bellmund, J. L., Gärdenfors, P., Moser, E. I., & Doeller, C. F. (2018). Navigating cognition: Spatial codes for human thinking. Science, 362(6415), 6766.

Belousova, A., & Belousova, E. (2020). Gnostic emotions of students in solving of thinking tasks. International Journal of Cognitive Research in Science, Engineering and Education, 8(2), 27–34.

Bottini, R., & Doeller, C. F. (2020). Knowledge across reference frames: cognitive maps and image spaces. Trends in Cognitive Sciences. 24(8), 606-619.

Cañas, A. J., Novak, J. D., & Reiska, P. (2015). How good is my concept map? Am I a good Cmapper?. Knowledge Management & E-Learning: An International Journal, 7(1), 6-19.

Dehaene, S. (2011) Conscious and Nonconscious Processes: Distinct Forms of Evidence Accumulation? In Duplantier B, & Rivasseau V (Eds), Biological Physics, (Pp. 141-168). Basel-Stadt, Basel: Springer. ISBN: 978-3-0346-0428-4.

Dehaene, S., Charles, L., King, J. R., & Marti, S. (2014). Toward a computational theory of conscious processing. Current opinion in neurobiology, 25, 76-84.

Dijksterhuis, A., & Aarts, H. (2010). Goals, attention, and (un) consciousness. Annual review of psychology, 61, 467-490.

Dijksterhuis, A., & Nordgren, L. F. (2006). A theory of unconscious thought. Perspectives on Psychological science, 1(2), 95-109.

Downs, R. M., & Stea, D. (2017). Cognitive Maps and Spatial Behavior: [Electronic version]. In Downs, RM., & Stea, D (Eds), Process and Products Image and environment: Cognitive mapping and spatial behavior. (2 ed., Pp. 8-27). New York, NY: Transaction Publishers. (Original work published 1973)

Eden, C. (2004). Analyzing cognitive maps to help structure issues or problems. European Journal of Operational Research, 159(3), 673-686.

Epstein, S. (2012). Cognitive-experiential self-theory: An integrative theory of personality. In Millon T, & Lerner MJ (Eds), Handbook of psychology: Personality and social psychology Vol. 5. (2 ed., Pp. 159-185). New Jersey, Hoboken: John Wiley & Sons.

Fauconnier, G. (2018). In Ten Lectures on Cognitive Construction of Meaning. South Holland, Leiden: Brill, 1-23.

Filomena, G., Verstegen, J. A., & Manley, E. (2019). A computational approach to ‘The Image of the City’. Cities, 89, 14-25.

McAleese, R. (1998). The knowledge arena as an extension to the concept map: Reflection in action. Interactive Learning Environments, 6(3), 251-272.

Milgram, S. (1970). The experience of living in cities. [Electronic version]. Science, 167(3924), 1461-1468.

Nanay, B. (2021). Unconscious mental imagery. Philosophical Transactions of the Royal Society B, 376(1817), 20190689.

Nesbit, J. C., & Adesope, O. O. (2006). Learning with concept and knowledge maps: A meta-analysis. Review of educational research, 76(3), 413-448.

Novak, J. (2010). Learning, Creating, and Using Knowledge: Concept maps as facilitative tools in schools and corporations. Journal of e-Learning and Knowledge Society, 6(3), 21-30. Retrieved from https://www.learnt

Paivio, A. (2011). Dual coding theory, word abstractness, and emotion: A critical review of Kousta et al. Journal of Experimental Psychology: General, 142(1), 282–287.

Palmiero, M., Piccardi, L., Giancola, M., Nori, R., D’Amico, S., & Belardinelli, M. O. (2019). The format of mental imagery: from a critical review to an integrated embodied representation approach. Cognitive processing, 20(3), 277-289.

Park, S. A., Miller, D. S., Nili, H., Ranganath, C., & Boorman, E. D. (2020). Map making: constructing, combining, and inferring on abstract cognitive maps. Neuron, 107(6), 1226-1238.

Rosch, E. H. (2011). Slow lettuce: Categories, concepts, fuzzy sets, and logical deduction. [Electronic version]. In Belohlavek, R. & Klir, GJ (Eds), Concepts and fuzzy logic, (Pp. 89-120). Massachusetts, Cambridge: MIT Press. Retrieved from

Sadoski, M., & Paivio, A. (2013). Imagery and text: A dual coding theory of reading and writing. New York, NY: Routledge.

Solso, R. L, MacLin, O. H., & MacLin, M. K. (2014). Cognitive Psychology: Pearson New International Edition. Essex, Harlow: Pearson. Retrieved from

Stern, D. B. (2015). Relational freedom: Emergent properties of the interpersonal field. New York, NY: Routledge. ISBN: 9781315765570.

Strick, M., Dijksterhuis, A., Bos, M. W., Sjoerdsma, A., Van Baaren, R. B., & Nordgren, L. F. (2011). A meta-analysis on unconscious thought effects. Social Cognition, 29(6), 738-762.

Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1-16.

Tolman, E. C. (1948). Cognitive maps in rats and men. Psychological review, 55(4), 189.

Ward, T. B., Finke, R. A., & Smith, S. M. (2013). Creativity and the mind: Discovering the genius within. Massachusetts, Boston: Springer. (Original work published 1995) ISBN: 978-1-4899-3330-0



How to Cite

Dautov, D. (2021). The Ratio of Verbal and Nonverbal Components of Individual Cognitive Maps as a Reflection of the Collaborative Thinking Activity of Its Participants . International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 9(1), 51–62.



Received 2021-03-21
Accepted 2021-04-15
Published 2021-04-20