Skip to main content

Trialogical Learning and Object-Oriented Collaboration

  • Chapter
  • First Online:
International Handbook of Computer-Supported Collaborative Learning

Part of the book series: Computer-Supported Collaborative Learning Series ((CULS,volume 19))

Abstract

This chapter delineates different approaches to technology-mediated learning that emphasize “object-oriented” collaboration. The chapter introduces, more specifically, trialogical learning, as distinguished from individual knowledge acquisition (“monological”) or from participation in social interaction and meaning making (“dialogical” approaches, see Trausan-Matu, Wegerif, & Major, this volume). We briefly introduce object-oriented collaboration and the trialogical approach where human learning and activity are targeted at jointly developed knowledge artifacts and related knowledge practices. As objects and object-orientedness have become centrally important for understanding collaboration in modern knowledge work, the facilitation of trialogical processes of collaborative learning is crucial in educational contexts. Several approaches focusing on object-oriented collaboration are analyzed, including those that use different terminology. The trialogical approaches appear to form a continuum with dialogical theories and meaning-making traditions often highlighted in CSCL research. Finally, we anticipate future uses of trialogical learning and object-oriented collaboration.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Béguin, P., & Rabardel, P. (2000). Designing for instrument-mediated activity. Scandinavian Journal of Information Systems, 12, 173–190.

    Google Scholar 

  • Bereiter, C. (2002). Education and mind in the knowledge age. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Bereiter, C. (2010). Can children really create knowledge? Canadian Journal of Learning and Technology, 36, 1.

    Article  Google Scholar 

  • Bereiter, C., & Scardamalia, M. (1993). Surpassing ourselves. Chicago, IL: Open Court.

    Google Scholar 

  • Bielaczyc, K. (2013). Informing design research: Learning from teachers’ design of social infrastructure. The Journal of the Learning Sciences, 22, 258–311.

    Article  Google Scholar 

  • Blikstein, P. (2013). Digital fabrication and “making” in education: The democratization of innovation. In J. Walter-Herrmann & C. Buching (Eds.), FabLabs: Of machines, makers, and inventors. Bielefeld: Transcript.

    Google Scholar 

  • Bryk, A. S., Gomez, L. M., Grunow, A., & LeMahieu, P. G. (2015). Learning to improve: How American schools can get better at getting better. Cambridge, MA: Harvard Education Press.

    Google Scholar 

  • Buckinghan Shum, S., & Deakin Crick, R. (2016). Learning analytics for 21st century competencies. Journal of Learning Analytics, 3, 6–21.

    Article  Google Scholar 

  • Chen, B., & Zhang, J. (2016). Analytics for knowledge creation: Towards epistemic agency and design mode thinking. Journal of Learning Analytics, 3, 139–163.

    Article  Google Scholar 

  • Coburn, C. E., & Penuel, W. R. (2016). Research-practice partnership in education: Outcomes, dynamics, and open questions. Educational Research, 45, 48–54.

    Article  Google Scholar 

  • Cress, U., & Kimmerle, J. (2008). A systemic and cognitive view on collaborative knowledge building with wikis. International Journal of Computer-Supported Collaborative Learning, 3(2), 105.

    Article  Google Scholar 

  • Cress, U., & Kimmerle, J. (2018). Collective knowledge construction. In F. Fischer, C. E. Hmelo-Silver, S. R. Goldman, & P. Reimann (Eds.), International handbook of the learning sciences. London: Routledge.

    Google Scholar 

  • Damşa, C. I., & Ludvigsen, S. (2016). Learning through interaction and co-construction of knowledge objects in teacher education. Learning, Culture and Social Interaction, 11, 1–18.

    Article  Google Scholar 

  • Donald, M. (1991). Origins of the modern mind. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Duschl, R., & Bismack, A. S. (Eds.). (2016). Reconceptualizing STEM education: The central role of practices. London: Routledge.

    Google Scholar 

  • Ekbia, H. R. (2009). Digital artifacts as quasi-objects: Qualification, mediation, and materiality. Journal of the American Society for Information Science and Technology, 60(12), 2554–2566.

    Article  Google Scholar 

  • Engeström, Y. (2015). Learning by expanding. An activity-theoretical approach to developmental research. First published 1987. Cambridge: Cambridge University Press.

    Google Scholar 

  • Engeström, Y., & Blackler, F. (2005). On the life of the object. Organization, 12(3), 307–330.

    Article  Google Scholar 

  • Enyedy, N., & Hoadley, C. M. (2006). From dialogue to monologue and back: Middle spaces in computer-mediated learning. Computer-Supported Collaborative Learning, 1(4), 413–439.

    Article  Google Scholar 

  • Ewenstein, B., & Whyte, J. (2009). Knowledge practices in design: The role of visual representations as ‘epistemic objects’. Organization Studies, 30(1), 7–30.

    Article  Google Scholar 

  • Fenwick, T., & Edwards, R. (2010). Actor-network theory in education. London: Routledge.

    Book  Google Scholar 

  • Gutierrez, K. D., & Jurow, S. (2016). Social design experiments: Toward equity by design. The Journal of the Learning Sciences, 25, 565–595.

    Article  Google Scholar 

  • Hakkarainen, K. (2009). A knowledge-practice perspective on technology-mediated learning. International Journal of Computer-Supported Collaborative Learning, 4, 213–231.

    Article  Google Scholar 

  • Hakkarainen, K., Hietajärvi, L., Alho, K., Lonka, K., & Salmela-Aro, K. (2015). Socio-digital revolution: Digital natives vs digital immigrants. In J. D. Wright (editor-in-chief) International encyclopedia of the social and behavioral sciences (Vol. 22, 2nd ed., pp. 918–923). Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Hakkarainen, K., & Paavola, S. (2009). Toward a trialogical approach to learning. In B. Schwarz, T. Dreyfus, & R. Hershkowitz (Eds.), Transformation of Knowledge Through Classroom Interaction (pp. 65–80). London: Routledge.

    Google Scholar 

  • Hakkarainen, K., Palonen, T., Paavola, S., & Lehtinen, E. (2004). Communities of networked expertise: Professional and educational perspectives. In Advances in Learning and Instruction Series. Amsterdam: Elsevier.

    Google Scholar 

  • Halverson, E., & Sheridan, K. M. (2014). The maker movement in education. Harvard Educational Review, 84(4), 495–504.

    Article  Google Scholar 

  • Harman, G. (2018). Object-oriented ontology: The new theory of everything. New York: Penguin.

    Google Scholar 

  • Hutchins, E. (1995). Cognition in the Wild. Cambridge, MA: MIT.

    Google Scholar 

  • Ilomäki, L., Lakkala, M., Toom, A., & Muukkonen, H. (2017). Teacher learning within a multinational project in an upper secondary school. Education Research International, 2017, 1614262. https://doi.org/10.1155/2017/1614262.

    Article  Google Scholar 

  • Jensen, K., Lahn, L. C., & Nerland, M. (2012). Introduction: Professional learning in new knowledge landscapes: A cultural perspective. In K. Jensen, L. C. Lahn, & M. Nerland (Eds.), Professional learning in the knowledge society (pp. 1–24). Rotterdam, The Netherlands: Sense.

    Chapter  Google Scholar 

  • Kafai, J., Fields, D. a., & Searle, K. A. (2014). Electronic textiles as disruptive designs. Supporting and challenging maker activities in schools. Harvard Educational Review, 84(4), 532–556.

    Article  Google Scholar 

  • Kangas, K., Seitamaa-Hakkarainen, P., & Hakkarainen, K. (2013). Figuring the world of designing: Expert participation in elementary classroom. International Journal of Technology and Design Education, 23, 425–442.

    Article  Google Scholar 

  • Knorr Cetina, K. (1999). Epistemic cultures: How the sciences make knowledge. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Knorr Cetina, K. (2001). Objectual practices. In T. Schatzki, K. Knorr Cetina, & E. Von Savigny (Eds.), The practice turn in contemporary theory (pp. 175–188). London: Routledge.

    Google Scholar 

  • Koh, J. H. L., Chai, C. S., Wong, B., & Hong, H. Y. (2015). Design thinking for education: Conceptions and applications in teaching and learning. London: Springer.

    Book  Google Scholar 

  • Kolodner, J. (2002). Facilitating the learning of design practices: Lesson learned from an inquiry in science education. Journal of Industrial Teacher Education, 39(3), 1–31.

    Google Scholar 

  • Korhonen, T., & Lavonen, J. (2017). A new wave of learning in Finland: Get started with innovation! In S. Choo, D. Sawch, A. Villanueva, & R. Vinz (Eds.), Educating for the 21st century: Perspectives, policies and practices from around the world (pp. 447–467). Singapore: Springer.

    Chapter  Google Scholar 

  • Koschmann, T. D. (1999). Toward a dialogic theory of learning: Bakhtin’s contribution to understanding learning in settings of collaboration. In C. M. Hoadley & J. Roschelle (Eds.), Proceedings of the Computer Support for Collaborative Learning (CSCL) 1999 Conference (pp. 308–313). Mahwah, NJ: LEA.

    Google Scholar 

  • Krajcik, J. S., & Shin, N. (2014). Project-based learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 275–297). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Lakkala, M., Muukkonen, H., Paavola, S., & Hakkarainen, K. (2008). Designing Pedagogical Infrastructures in University Courses for Technology-Enhanced Collaborative Inquiry. Research and Practice in Technology Enhanced Learning, 3, 33–64.

    Article  Google Scholar 

  • Lakkala, M., Paavola, S., Kosonen, K., Muukkonen, H., Bauters, M., & Markkanen, H. (2009). Main functionalities of the Knowledge Practices Environment (KPE) affording knowledge creation practices in education. In C. O’Malley, D. Suthers, P. Reimann, & A. Dimitracopoulou (Eds.), Computer supported collaborative learning practices: CSCL2009 conference proceedings (pp. 297–306). Rhodes, Creek: International Society of the Learning Sciences (ISLS).

    Google Scholar 

  • Lakkala, M., Toom, A., Ilomäki, L., & Muukkonen, H. (2015). Re-designing university courses to support collaborative knowledge creation practices. Australasian Journal of Educational Technology, 31(5), 521–536.

    Article  Google Scholar 

  • Larusson, J. A., & White, B. (Eds.). (2014). Learning Analytics: From Research to Practice. London: Springer.

    Google Scholar 

  • Latour, B. (1996). On interobjectivity. Mind, Culture, and Activity, 3(4), 228–245.

    Article  Google Scholar 

  • Latour, B. (2005). Reassembling the social: An introduction to actor-network-theory. Oxford: Oxford University Press.

    Google Scholar 

  • Latour, B., & Woolgar, S. (1986). Laboratory life: The construction of scientific facts. In Princeton University Press.

    Google Scholar 

  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Leonardi, P. M., Nardi, B. A., & Kallinikos, J. (2012). Materiality and organizing: Social interaction in a technological world. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Leontjev, A. N. (1978). Activity, consciousness and personality. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Ludvigsen, S., Stahl, G., Law, N., & Cress, U. (2015). From the editors: Collaboration and the formation of new knowledge artifacts. International Journal of Computer-Supported Collaborative Learning, 10(1), 1–6.

    Article  Google Scholar 

  • Lund, A., & Rasmussen, I. (2008). The right tool for the wrong task? Match and mismatch between first and second stimulus in double stimulation. International Journal of Computer-Supported Collaborative Learning, 3(4), 387.

    Article  Google Scholar 

  • Medina, R., & Stahl, G. (this volume). Analysis of group practices. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (Eds.), International handbook of computer-supported collaborative learning. Cham: Springer.

    Google Scholar 

  • Miettinen, R., & Paavola, S. (2018). Beyond the distinction between tool and sign: Objects and artefacts in human activity. In A. Rosa & J. Valsiner (Eds.), The Cambridge handbook of sociocultural psychology (pp. 148–162). Cambridge: Cambridge University Press.

    Chapter  Google Scholar 

  • Miettinen, R., Paavola, S., & Pohjola, P. (2012). From habituality to change: Contribution of activity theory and pragmatism to practice theories. Journal for the Theory of Social Behaviour, 42(3), 345–360.

    Article  Google Scholar 

  • Miettinen, R., & Virkkunen, J. (2005). Epistemic objects, artefacts and organizational change. Organization, 12(3), 437–456.

    Article  Google Scholar 

  • Moen, A., Morch, A., & Paavola, S. (Eds.). (2012). Collaborative knowledge creation: Practices, tools, concepts. Rotterdam: Sense Publishers.

    Google Scholar 

  • Muukkonen, H., Lakkala, M., & Paavola, S. (2011). Promoting knowledge creation and object-oriented inquiry in university courses. In S. Ludvigsen, A. Lund, I. Rasmussen, & R. Säljö (Eds.), Learning across sites: New tools, infrastructures and practices. New perspectives on learning and instruction (pp. 172–189). Oxon, UK: Routledge.

    Google Scholar 

  • Muukkonen, H., Lakkala, M., Toom, A., & Ilomäki, L. (2017). Assessment of competences in knowledge work and object-bound collaboration during higher education courses. In E. Kyndt, V. Donche, K. Trigwell, & S. Lindblom-Ylänne (Eds.), Higher education transitions: Theory and research (pp. 288–305). New York: EARLI Book Series New Perspectives on Learning and Instruction.

    Chapter  Google Scholar 

  • Nerland, M. (2012). Professions as knowledge cultures. In K. Jensen, L. C. Lahn, & M. Nerland (Eds.), Professional learning in the knowledge society (pp. 27–48). Rotterdam, The Netherlands: Sense.

    Chapter  Google Scholar 

  • Nerland, M., & Jensen, K. (2012). Epistemic practices and object relations in professional work. Journal of Education and Work, 25(1), 101–120.

    Article  Google Scholar 

  • Orlikowski, W. J. (2009). The sociomateriality of organisational life: Considering technology in management research. Cambridge Journal of Economics, 34(1), 125–141.

    Article  Google Scholar 

  • Osborne, J. (2014). Teaching scientific practices. Journal of Science Teacher Education, 25, 177–196.

    Article  Google Scholar 

  • Paavola, S., & Hakkarainen, K. (2005). The knowledge creation metaphor—An emergent epistemological approach to learning. Science & Education, 14, 537–557.

    Article  Google Scholar 

  • Paavola, S., & Hakkarainen, K. (2009). From meaning making to joint construction of knowledge practices and artefacts: A trialogical approach to CSCL. In C. O’Malley, D. Suthers, P. Reimann, & A. Dimitracopoulou (Eds.), Computer supported collaborative learning practices: CSCL2009 conference proceedings (pp. 83–92). Rhodes, Creek: International Society of the Learning Sciences (ISLS).

    Google Scholar 

  • Paavola, S., Lakkala, M., Muukkonen, H., Kosonen, K., & Karlgren, K. (2011). The roles and uses of design principles for developing the trialogical approach on learning. Research in Learning Technology, 19(3), 233–246.

    Article  Google Scholar 

  • Paavola, S., Lipponen, L., & Hakkarainen, K. (2004). Modeling innovative knowledge communities: A knowledge-creation approach to learning. Review of Educational Research, 74, 557–576.

    Article  Google Scholar 

  • Paavola, S., & Miettinen, R. (2018). Dynamics of design collaboration. BIM models as intermediary digital objects. Computer Supported Cooperative Work (CSCW), 27(3–6), 1113–1135.

    Google Scholar 

  • Papert, S., & Harel, I. (1991). Constructionism. New York: Ablex.

    Google Scholar 

  • Pea, R. D. (1993). Practices of distributed intelligence and designs for education. In G. Salomon (Ed.), Distributed cognitions: Psychological and educational considerations (pp. 47–87). Cambridge: Cambridge University Press.

    Google Scholar 

  • Penuel, W. R., Fishman, B. J., Cheng, B. H., & Sabelli, N. (2011). Organizing research and development at the intersection of learning, implementation, and design. Educational Research, 40, 331–337.

    Article  Google Scholar 

  • Pickering, A. (1995). The mangle of practice: Time, agency, and science. Chicago: University of Chicago Press.

    Book  Google Scholar 

  • Riikonen, S., Seitamaa-Hakkarainen, P., & Hakkarainen, K. (2018). Bringing practices of co-design and making to basic education. In J. Kay & R. Luckin (Eds.), Proceedings of the 13th International Conference on the Learning Sciences “Rethinking learning in the digital age: Making the learning sciences count” (pp. 248–255). London, UK: Institute of Education, University College London.

    Google Scholar 

  • Ritella, G., & Hakkarainen, K. (2012). Instrument genesis in technology mediated learning: From double stimulation to expansive knowledge practices. International Journal of Computer-Supported Collaborative Learning, 7, 239–258.

    Article  Google Scholar 

  • Sawyer, R. K. (2005). Emergence: Societies as complex systems. Cambridge, MA: Cambridge University Press.

    Book  Google Scholar 

  • Scardamalia, M., & Bereiter, C. (2014a). Knowledge building and knowledge creation: Theory, pedagogy, and technology. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 397–417). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Scardamalia, M., & Bereiter, C. (2014b). Smart technology for self-organizing processes. Smart Learning Environments, 1, 1.

    Article  Google Scholar 

  • Schatzki, T. R., Knorr Cetina, K., & Von Savigny, E. (Eds.). (2001). The practice turn in contemporary theory. London: Routledge.

    Google Scholar 

  • Seitamaa-Hakkarainen, P., Kangas, K., Raunio, A.-M., & Hakkarainen, K. (2012). Collaborative design practices in technology-mediated learning. Design and Technology Education: An International Journal, 17, 54–65.

    Google Scholar 

  • Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27, 4–13.

    Article  Google Scholar 

  • Shaffer, D. W., Hatfield, D., Svarovsky, G. N., Nash, P., Nulty, A., Bagley, E., Frank, K., Rupp, A. A., & Mislevy, R. (2009). Epistemic network analysis: A prototype for 21st-century assessment of learning. International Journal of Learning and Media, 1, 33–53.

    Article  Google Scholar 

  • Skagestad, P. (1993). Thinking with machines: Intelligence augmentation, evolutionary epistemology, and semiotic. The Journal of Social and Evolutionary Systems, 16(2), 157–180.

    Article  Google Scholar 

  • Spinuzzi, C. (2011). Losing by expanding: Corralling the runaway object. Journal of Business and Technical Communication, 25(4), 449–486.

    Article  Google Scholar 

  • Stahl, G. (2013). Learning across levels. Computer-Supported Collaborative Learning, 8, 1–12.

    Article  Google Scholar 

  • Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning: An historical perspective. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 409–426). New York: Cambridge University Press.

    Google Scholar 

  • Stahl, G., Ludvigsen, S., Law, N., & Cress, U. (2014). CSCL artifacts. International Journal of Computer-Supported Collaborative Learning, 9(3), 237–245.

    Article  Google Scholar 

  • Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘Translations’ and boundary objects: Amateurs and Professionals in Berkeley’s Museum of Vertebrate Zoology, 1907–39. Social Studies of Science, 19(3), 387–420.

    Article  Google Scholar 

  • Stetsenko, A. (2005). Activity as object-related: Resolving the dichotomy of individual and collective planes of activity. Mind. Culture, and Activity, 12(1), 70–88.

    Article  Google Scholar 

  • Suthers, D. D. (2006). Technology affordances for intersubjective meaning making: A research agenda for CSCL. International Journal of Computer-Supported Collaborative Learning (IJCSCL), 1(3), 315–337.

    Article  Google Scholar 

  • Tabak, I. (2004). Synergy: A complement to emerging patterns of scaffolding. The Journal of the Learning Sciences, 13, 305–335.

    Article  Google Scholar 

  • Tan, S. C., So, H. J., & Yeo, J. (Eds.). (2014). Knowledge creation in education. New York, NY: Springer.

    Google Scholar 

  • Timmis, S. (2014). The dialectical potential of Cultural Historical Activity Theory for researching sustainable CSCL practices. International Journal of Computer-Supported Collaborative Learning, 9(1), 7–32.

    Article  Google Scholar 

  • Trausan-Matu, S., Wegerif, R., & Major, L. (this volume). Dialogism. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (Eds.), International handbook of computer-supported collaborative learning. Cham: Springer.

    Google Scholar 

  • Viilo, M., Seitamaa-Hakkarainen, P., & Hakkarainen, K. (2016). Teacher’s long-term orchestration of technology-mediated collaborative inquiry project. Scandinavian Journal of Educational Research, 62(3), 407–432.

    Article  Google Scholar 

  • Vinck, D. (2011). Taking intermediary objects and equipping work into account in the study of engineering practices. Engineering Studies, 3(1), 25–44.

    Article  Google Scholar 

  • Vygotsky, L. S. (1978). Mind in society. The development of higher psychological processes. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Wartofsky, M. (1979). Models: Representation and scientific understanding. Dordrecht: Reidel.

    Book  Google Scholar 

  • Zhang, J., Tao, D., Chen, M. H., Sun, Y., Judson, D., & Naqvi, S. (2018). Co-organizing the collective journey of inquiry with Idea Thread Mapper. Journal of the Learning Sciences, 27(3), 390–430.

    Article  Google Scholar 

Further Readings

  • Damşa, C. I., & Ludvigsen, S. (2016). Learning through interaction and co-construction of knowledge objects in teacher education. Learning, Culture and Social Interaction, 11, 1–18. The article presents an empirical study, employing a design-based research approach, of student teachers’ learning through collaborative, small-group projects and work on shared knowledge objects. The aim was to understand how knowledge objects, e.g., teaching and learning materials, emerge through students’ interaction, how they are developed through iterative co-construction, and how they play a role in the learning process. Interaction data and knowledge objects generated by groups were analyzed through qualitative methods, with a focus on the types of interaction, the uptake of ideas and concepts, and their co-elaboration.

    Article  Google Scholar 

  • Kangas, K., Seitamaa-Hakkarainen, P., & Hakkarainen, K. (2013). Figuring the world of designing: Expert participation in elementary classroom. International Journal of Technology and Design Education, 23, 425–442. The article examines elementary school students’ participation in knowledge-creating learning that involves collaborative design and making of artifacts. With support of a professional designer, students were engaged in figured world of designing and guided to appropriate associated knowledge practices.

    Article  Google Scholar 

  • Paavola, S., & Hakkarainen, K. (2009). From meaning making to joint construction of knowledge practices and artefacts: A trialogical approach to CSCL. In C. O’Malley, D. Suthers, P. Reimann, & A. Dimitracopoulou (Eds.), Computer supported collaborative learning practices: CSCL2009 conference proceedings (pp. 83–92). Rhodes, Creek: International Society of the Learning Sciences (ISLS). The article presents the basics of the trialogical approach to learning. The use of this notion is explained as well as theoretical backgrounds for the approach in line with the knowledge-creation metaphor of learning (Paavola et al. 2004; Hakkarainen et al. 2004). The paper also makes a comparison between trialogical and dialogical theories of learning and their uses in CSCL (computer-supported collaborative learning) research.

    Google Scholar 

  • Ritella, G., & Hakkarainen, K. (2012). Instrumental genesis in technology-mediated learning: From double stimulation to expansive knowledge practices. International Journal of Computer-Supported Collaborative Learning., 7(2), 239–258. This article addressed theoretical foundations of CSCL. The article elaborates concepts of epistemic mediation, chronotope, double stimulation, instrumental genesis, and knowledge practices and their interrelations in the context of promoting educational transformations in the digital age.

    Article  Google Scholar 

  • Zhang, J., Tao, D., Chen, M. H., Sun, Y., Judson, D., & Naqvi, S. (2018). Co-organizing the collective journey of inquiry with Idea Thread Mapper. Journal of the Learning Sciences, 27(3), 390–430. The article addressed the role of technology-mediated knowledge practices in socially organizing collective inquiry processes within two CSCL classrooms. The study revealed that promising directions of object-driven (trialogical) inquiry can be monitored with Idea Thread Mapper (ITM). Moreover, practices of reflective structuration supported long-term advancement of inquiry in terms of active participation, inter-connected contributions, and coherent scientific understanding.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sami Paavola .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Paavola, S., Hakkarainen, K. (2021). Trialogical Learning and Object-Oriented Collaboration. In: Cress, U., Rosé, C., Wise, A.F., Oshima, J. (eds) International Handbook of Computer-Supported Collaborative Learning. Computer-Supported Collaborative Learning Series, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-65291-3_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-65291-3_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65290-6

  • Online ISBN: 978-3-030-65291-3

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics