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Epistemic Fluency and Mobile Technology: A Professional-Plus Perspective

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Education for Practice in a Hybrid Space

Abstract

What does it mean to be a resourceful and skilful professional in an environment saturated with intelligent devices and connected to diverse knowledge resources and human networks? This chapter discusses the roles of mobile technology in professional work and learning from an extended hybrid mind perspective. We argue that professional knowledge and skills extend beyond individual humans to their physical, technological and social environment. Learning to be a professional means learning to extend and entwine one’s knowledge and skills with ‘intelligence’ that is embedded and embodied in a distributed technology–human environment. In doing so, we argue that practitioners become ‘professional-plus’. They need capabilities to work with different kinds of knowledge and embrace diverse ways of knowing that are distributed across humans with different expertise and machines. We call this capability ‘epistemic fluency’.

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Notes

  1. 1.

    We use words ‘intelligence’ and ‘intelligent’ in the broadest sense to denote those intellectual faculties that are often attributed uniquely to humans (reasoning, understanding, judgement, etc.), including those that used to be seen as uniquely human, but now are increasingly performed by digital tools (recognition of similarities and differences, comparison, logical inference, symbolic operations, etc.) and joint activity systems of humans and technologies (e.g. reasoning with an interactive decision support tool).

References

  • Bereiter, C., & Scardamalia, M. (1993). Surpassing ourselves: An inquiry into the nature and implications of expertise. Chicago: Open Court.

    Google Scholar 

  • Bourdieu, P. (1979). La distinction: Critique sociale du jugement. Paris: Éditions de Minuit.

    Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42. https://doi.org/10.3102/0013189x018001032.

    Article  Google Scholar 

  • Ciolfi, L., & de Carvalho, A. (2014). Work practices, nomadicity and the mediational role of technology. Computer Supported Cooperative Work (CSCW), 23(2), 119–136. https://doi.org/10.1007/s10606-014-9201-6.

    Article  Google Scholar 

  • Claborn, K., Becker, S., Ramsey, S., Rich, J., & Friedmann, P. D. (2017). Mobile technology intervention to improve care coordination between HIV and substance use treatment providers: Development, training, and evaluation protocol. Addiction Science & Clinical Practice, 12(1), 8. https://doi.org/10.1186/s13722-017-0073-1.

    Article  Google Scholar 

  • Clark, A. (2011). Supersizing the mind: Embodiment, action and cognitive extension. Oxford: Oxford University Press.

    Google Scholar 

  • Cook, S. D. N., & Brown, J. S. (1999). Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing. Organization Science, 10(4), 381–400.

    Article  Google Scholar 

  • Cooren, F., Taylor, J., & Van Every, E. (Eds.). (2006). Communicating as organizing: Empirical and theoretical explorations in the dynamic of text and conversation. Mahway, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Damasio, A. R. (2012). Self comes to mind: Constructing the conscious brain. New York, NY: Vintage books.

    Google Scholar 

  • Dimond, R., Bullock, A., Lovatt, J., & Stacey, M. (2016). Mobile learning devices in the workplace: ‘As much a part of the junior doctors’ kit as a stethoscope’? BMC Medical Education, 16(1), 207. https://doi.org/10.1186/s12909-016-0732-z.

    Article  Google Scholar 

  • Donald, M. (1991). Origins of the modern mind: Three stages in the evolution of culture and cognition. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Edwards, R., & Fenwick, T. (2016). Digital analytics in professional work and learning. Studies in Continuing Education, 38(2), 213–227. https://doi.org/10.1080/0158037X.2015.1074894.

    Article  Google Scholar 

  • Ericsson, K. A. (2006). The influence of experience and deliberate practice on the development of superior expert performance. In K. A. Ericsson, N. Charness, P. J. Feltovich, & R. R. Hoffman (Eds.), The Cambridge handbook of expertise and expert performance (pp. 683–703). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Ericsson, K. A. (Ed.). (2009). Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments. Cambridge: Cambridge University Press.

    Google Scholar 

  • Evetts, J. (2014). The concept of professionalism: Professional work, professional practice and learning. In S. Billett, C. Harteis, & H. Gruber (Eds.), International handbook of research in professional and practice-based learning (pp. 29–56). Dordrecht: Springer, Netherlands.

    Google Scholar 

  • Fenwick, T. (2016a). Professional responsibility and professionalism. London: Routledge.

    Book  Google Scholar 

  • Fenwick, T. (2016b). Social media, professionalism and higher education: A sociomaterial consideration. Studies in Higher Education, 41(4), 664–677. https://doi.org/10.1080/03075079.2014.942275.

    Article  Google Scholar 

  • Fenwick, T., & Edwards, R. (2016). Exploring the impact of digital technologies on professional responsibilities and education. European Educational Research Journal, 15(1), 117–ß131. https://doi.org/10.1177/1474904115608387.

    Article  Google Scholar 

  • Fenwick, T., & Nerland, M. (Eds.). (2014). Reconceptualising professional learning: Sociomaterial knowledges, practices and responsibilities. London: Routledge.

    Google Scholar 

  • Goodwin, C. (2005). Seeing in depth. In S. J. Derry, C. D. Schunn, & M. A. Gernsbacher (Eds.), Interdisciplinary collaboration: An emerging cognitive science (pp. 85–121). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Greene, J. A., Sandoval, W. A., & Bråten, I. (Eds.). (2016). Handbook of epistemic cognition. New York: Routledge.

    Google Scholar 

  • Greeno, J. G. (2012). Concepts in activities and discourses. Mind, Culture, and Activity, 19(3), 310–313. https://doi.org/10.1080/10749039.2012.691934.

    Article  Google Scholar 

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

    Google Scholar 

  • Hutchins, E. (2010). Cognitive ecology. Topics in Cognitive Science, 2(4), 705–715. https://doi.org/10.1111/j.1756-8765.2010.01089.x.

    Article  Google Scholar 

  • Hutchins, E., & Klausen, T. (1996). Distributed cognition in an airline cockpit. In Y. Engestrom & D. Middleton (Eds.), Cognition and communication at work (pp. 15–34). Cambridge, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Ichikawa, J. J., & Steup, M. (2016). The analysis of knowledge. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy (Winter 2016 edition). Retrieved from https://plato.stanford.edu/archives/win2016/entries/knowledge-analysis.

  • Jonassen, D. H. (2011). Learning to solve problems: A handbook for designing problem-solving learning environments. New York, NY: Routledge.

    Google Scholar 

  • Kakihara, M., & Sørensen, C. (2002). “Post-modern” professionals’ work and mobile technology: LSE, Department of Information Systems.

    Google Scholar 

  • Kitchener, K. S. (1983). Cognition, metacognition, and epistemic cognition. A three-level model of cognitive processing. Human Development, 26(4), 222–232.

    Article  Google Scholar 

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

    Google Scholar 

  • Latour, B. (1994). On technical mediation: Philosophy, sociology, geneaology. Common Knowledge, 3(2), 29–64.

    Google Scholar 

  • Malafouris, L. (2012). How things shape the mind: A theory of material engagement. Cambridge, MA: MIT Press.

    Google Scholar 

  • Markauskaite, L., & Goodyear, P. (2014). Professional work and knowledge. In S. Billett, C. Harteis, & H. Gruber (Eds.), International handbook of research in professional and practice-based learning (Vol. 1, pp. 79–106). Dordrecht: Springer.

    Google Scholar 

  • Markauskaite, L., & Goodyear, P. (2017). Epistemic fluency and professional education: Innovation, knowledgeable action and actionable knowledge. Dordrecht: Springer.

    Book  Google Scholar 

  • Mengis, J., Nicolini, D., & Swan, J. (2018). Integrating knowledge in the face of epistemic uncertainty: Dialogically drawing distinctions. Management Learning, 49(5), 595–612. https://doi.org/10.1177/1350507618797216.

    Article  Google Scholar 

  • Morrison, D., & Collins, A. (1996). Epistemic fluency and constructivist learning environments. In B. Wilson (Ed.), Constructivist learning environments (pp. 107–119). Englewood Cliffs, NJ: Educational Technology Publications.

    Google Scholar 

  • Nerland, M., & Jensen, K. (2014). Learning through epistemic practices in professional work: Examples from nursing and engineering. In T. Fenwick & M. Nerland (Eds.), Reconceptualising professional learning: Sociomaterial knowledges, practices and responsibilities (pp. 25–37). London: Routledge.

    Google Scholar 

  • Nespor, J. (1994). Knowledge in motion: Space, time and curriculum in undergraduate physics and management. Knowledge, identity and school life. London: Falmer Press.

    Google Scholar 

  • Nicolini, D., Mengis, J., & Swan, J. (2012). Understanding the role of objects in cross-disciplinary collaboration. Organization Science, 23(3), 612–629. https://doi.org/10.1287/orsc.1110.0664.

    Article  Google Scholar 

  • Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—Big data, machine learning, and clinical medicine. The New England Journal of Medicine, 375(13), 1216–1219. https://doi.org/10.1056/NEJMp1606181.

    Article  Google Scholar 

  • Orlikowski, W. J. (2006). Material knowing: The scaffolding of human knowledgeability. European Journal of Information Systems, 15(5), 460. https://doi.org/10.1057/palgrave.ejis.3000639.

    Article  Google Scholar 

  • Orlikowski, W. J. (2007). Sociomaterial practices: Exploring technology at work. Organization Studies, 28(9), 1435–1448. https://doi.org/10.1177/0170840607081138.

    Article  Google Scholar 

  • Perkins, D. N. (1993). Person-plus: A distributed view of thinking and learning. In G. Salomon (Ed.), Distributed cognitions: Psychological and educational considerations (pp. 88–110). Cambridge, NY: Cambridge University Press.

    Google Scholar 

  • Perkins, D. N. (1997). Epistemic games. International Journal of Educational Research, 27(1), 49–61.

    Article  Google Scholar 

  • Perkins, D. N., & Salomon, G. (1989). Are cognitive skills context-bound? Educational Researcher, 18(1), 16–25. https://doi.org/10.3102/0013189x018001016.

    Article  Google Scholar 

  • PwC. (2016). The wearable life 2.0: Connected living in a wearable world. United States: PwC.

    Google Scholar 

  • Rivera Pelayo, V. (2015). Design and application of quantified self approaches for reflective learning in the workplace. KIT Scientific Publishing.

    Google Scholar 

  • Rossitto, C., Bogdan, C., & Severinson-Eklundh, K. (2014). Understanding constellations of technologies in use in a collaborative nomadic setting. Computer Supported Cooperative Work (CSCW), 23(2), 137–161. https://doi.org/10.1007/s10606-013-9196-4.

    Article  Google Scholar 

  • Säljö, R. (2010). Digital tools and challenges to institutional traditions of learning: Technologies, social memory and the performative nature of learning. Journal of Computer Assisted Learning, 26(1), 53–64. https://doi.org/10.1111/j.1365-2729.2009.00341.x.

    Article  Google Scholar 

  • Säljö, R. (2012). Literacy, digital literacy and epistemic practices: The co-evolution of hybrid minds and external memory systems. Nordic Journal of Digital Literacy, 7(01), 5–19.

    Google Scholar 

  • Salomon, G., Perkins, D. N., & Globerson, T. (1991). Partners in cognition: Extending human intelligence with intelligent technologies. Educational Researcher, 20(3), 2–9. https://doi.org/10.3102/0013189x020003002.

    Article  Google Scholar 

  • Suchman, L. (2007). Human-machine reconfigurations: Plans and situated actions. Cambridge: Cambridge University Press.

    Google Scholar 

  • Vygotsky, L. S. (1986). Thought and language. Cambridge: MIT Press.

    Google Scholar 

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Correspondence to Franziska Trede .

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Trede, F., Markauskaite, L., McEwen, C., Macfarlane, S. (2019). Epistemic Fluency and Mobile Technology: A Professional-Plus Perspective. In: Education for Practice in a Hybrid Space. Understanding Teaching-Learning Practice. Springer, Singapore. https://doi.org/10.1007/978-981-13-7410-4_12

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  • DOI: https://doi.org/10.1007/978-981-13-7410-4_12

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