Skip to main content

Modeling Perspective Taking and Knowledge Use in Collaborative Explanation: Investigation by Laboratory Experiment and Computer Simulation Using ACT-R

  • Conference paper
  • First Online:
Artificial Intelligence in Education (AIED 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13355))

Included in the following conference series:

Abstract

This study focuses on modeling perspective taking behavior during collaborative explanation activities and the process of searching for relevant knowledge for constructive interaction. A laboratory experiment was conducted where dyads learned about concepts and engaged in a reasoning task using concept maps through discussions. We collected leaners conversational data and gaze using two eye trackers to examine perspective taking behavior. The results showed that leaners who considered others’ diverse perspective expeditiously reflected upon their own knowledge and used the relevant knowledge for explaining the phenomenon to their partners. To further model the process of the perspective taking behavior and knowledge retrieval that occurred in the experiment, we developed a model using the cognitive architecture, Adaptive Control of Thought Rational (ACT-R). We further explained the mechanisms by implementing a model where perspective taking increases the opportunity to search and reconsidering the use common knowledge owing to the discrepancy triggered by diverse perspectives. This paper contributes to model-based research and provides knowledge on capturing the relationships of perspective taking and relevant knowledge retrieval in collaborative learning.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anderson, J.R.: How Can the Human Mind Occur in the Physical Universe. Oxford University Press, Oxford (2007)

    Book  Google Scholar 

  2. Chi, M.T.: Self-explaining expository texts: the dual process of generating inferences and repairing mental models. In: Glaser, R. (ed.) Advances in Instructional Psychology. Educational Design and Cognitive Science, vol. 5, pp. 161–238. Lawrence Erlbaum, Mahwah (2000)

    Google Scholar 

  3. Clement, J.: Overcoming students’ misconceptions in physics: fundamental change in children’s physics knowledge. J. Res. Sci. Teach. 28, 785–797 (1987)

    Google Scholar 

  4. Cmap Homepage. https://cmap.ihmc.us/, Accessed 4 Feb 2022

  5. Greeno, J.G., van de Sande, C.: Perspectival understanding of conceptions and conceptual growth in interaction. Educ Psychol 42, 9–23 (2007)

    Article  Google Scholar 

  6. Hayashi, Y.: The power of a “maverick” in collaborative problem solving: an experimental investigation of individual perspective-taking within a group. Cogn. Sci. 42(S1), 69–104 (2018)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid for Scientific Research (B), Grant Number JP20H04299.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yugo Hayashi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hayashi, Y., Shimojo, S. (2022). Modeling Perspective Taking and Knowledge Use in Collaborative Explanation: Investigation by Laboratory Experiment and Computer Simulation Using ACT-R. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2022. Lecture Notes in Computer Science, vol 13355. Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-11644-5_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-11643-8

  • Online ISBN: 978-3-031-11644-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics