IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v125y2020i3d10.1007_s11192-020-03692-2.html
   My bibliography  Save this article

The central position of education in knowledge mobilization: insights from network analyses of spatial reasoning research across disciplines

Author

Listed:
  • Geoff Woolcott

    (Southern Cross University)

  • Dan Chamberlain

    (La Trobe University)

  • Zachary Hawes

    (University of Western Ontario)

  • Michelle Drefs

    (University of Calgary)

  • Catherine D. Bruce

    (Trent University)

  • Brent Davis

    (University of Calgary)

  • Krista Francis

    (University of Calgary)

  • David Hallowell

    (University of California, Santa Barbara)

  • Lynn McGarvey

    (University of Alberta)

  • Joan Moss

    (University of Toronto)

  • Joanne Mulligan

    (Macquarie University)

  • Yukari Okamoto

    (University of California, Santa Barbara)

  • Nathalie Sinclair

    (Simon Fraser University)

  • Walter Whiteley

    (York University)

Abstract

Knowledge mobilization is becoming increasingly important for research collaborations, but few methodologies support increased knowledge sharing. This study provides insights, using a reflective narrative, into a transdisciplinary knowledge-sharing investigation of the connectivity of educational research to that of other disciplines. As an exemplar for educational research, the study evaluated the use of spatial search terms from mathematics education using: 1) an initial descriptive statistical analysis combined with bi modal network analysis of highly cited articles; and, 2) a second more comprehensive unimodal analysis using bibliographic coupling networks. This iterative analytical process provided a major if surprising insight—although Education is not particularly well connected bidirectionally to many subject areas, it appears to act as a distribution centre for knowledge mobilization, providing a central hub for gathering and analysing knowledge from across disciplines in order to generate the complex system of information that underpins society.

Suggested Citation

  • Geoff Woolcott & Dan Chamberlain & Zachary Hawes & Michelle Drefs & Catherine D. Bruce & Brent Davis & Krista Francis & David Hallowell & Lynn McGarvey & Joan Moss & Joanne Mulligan & Yukari Okamoto &, 2020. "The central position of education in knowledge mobilization: insights from network analyses of spatial reasoning research across disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2323-2347, December.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03692-2
    DOI: 10.1007/s11192-020-03692-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03692-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-020-03692-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kesten Green & J. Scott Armstrong & Andreas Graefe, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 8, pages 17-20, Fall.
    2. Isidro F. Aguillo, 2012. "Is Google Scholar useful for bibliometrics? A webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 343-351, May.
    3. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    4. Stephen P. Borgatti & Daniel S. Halgin, 2011. "On Network Theory," Organization Science, INFORMS, vol. 22(5), pages 1168-1181, October.
    5. Jan Youtie & Gregg E. A. Solomon & Stephen Carley & Seokbeom Kwon & Alan L. Porter, 2017. "Crossing borders: A citation analysis of connections between Cognitive Science and Educational Research … and the fields in between," Research Evaluation, Oxford University Press, vol. 26(3), pages 242-255.
    6. Myrna Mandell & Robyn Keast & Dan Chamberlain, 2017. "Collaborative networks and the need for a new management language," Public Management Review, Taylor & Francis Journals, vol. 19(3), pages 326-341, March.
    7. Loet Leydesdorff & Félix Moya-Anegón & Wouter Nooy, 2016. "Aggregated journal–journal citation relations in scopus and web of science matched and compared in terms of networks, maps, and interactive overlays," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2194-2211, September.
    8. Trisha Gura, 2005. "Big plans for little brains," Nature, Nature, vol. 435(7046), pages 1156-1158, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kerr, Norbert L. & Tindale, R. Scott, 2011. "Group-based forecasting?: A social psychological analysis," International Journal of Forecasting, Elsevier, vol. 27(1), pages 14-40, January.
    2. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.
    3. Joshua Becker & Abdullah Almaatouq & EmH{o}ke-'Agnes Horv'at, 2020. "Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion," Papers 2009.07202, arXiv.org, revised Mar 2021.
    4. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    5. Kerr, Norbert L. & Tindale, R. Scott, 2011. "Group-based forecasting?: A social psychological analysis," International Journal of Forecasting, Elsevier, vol. 27(1), pages 14-40.
    6. Samir Mili & Maria Bouhaddane, 2021. "Forecasting Global Developments and Challenges in Olive Oil Supply and Demand: A Delphi Survey from Spain," Agriculture, MDPI, vol. 11(3), pages 1-25, February.
    7. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    8. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    9. Mikaela Backman & Charlie Karlsson, 2016. "Determinants of self-employment among commuters and non-commuters," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 755-774, November.
    10. de Oliveira Maciel, Cristiano & Netto, Raul Zanon Rocha, 2020. "Architectural agency in intra-organizational networks," Journal of Business Research, Elsevier, vol. 109(C), pages 489-497.
    11. Muhamed Kudic & Wilfried Ehrenfeld & Toralf Pusch, 2015. "On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 187-220, October.
    12. Lin, Tun & De Guzman, Franklin, 2007. "Tourism for pro-poor and sustainable growth: economic analysis of tourism projects," MPRA Paper 24994, University Library of Munich, Germany.
    13. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    14. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    15. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    16. Ngoy Kabemba S. & Chisumbe Sampa & Petere Gaida & Mwiya Balimu & Mwanaumo Erastus, 2023. "Factors Influencing Professional Indemnity Insurance Use in Construction Risk Management," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 11(1), pages 199-220, January.
    17. Frederico Fernandes Ávila & Regina C. Alvalá & Rodolfo M. Mendes & Diogo J. Amore, 2024. "Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8121-8151, July.
    18. van Asselt, E.D. & Meuwissen, M.P.M. & van Asseldonk, M.A.P.M. & Sterrenburg, P. & Mengelers, M.J.B. & van der Fels-Klerx, H.J., 2011. "Approach for a pro-active emerging risk system on biofuel by-products in feed," Food Policy, Elsevier, vol. 36(3), pages 421-429, June.
    19. Wilder Quintero-Quintero & Ana Beatriz Blanco-Ariza & Manuel Alfonso Garzón-Castrillón, 2021. "Intellectual Capital: A Review and Bibliometric Analysis," Publications, MDPI, vol. 9(4), pages 1-23, October.
    20. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03692-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.