IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v105y2015i1d10.1007_s11192-015-1690-7.html
   My bibliography  Save this article

The effect of technology on learning research trends: a bibliometric analysis over five decades

Author

Listed:
  • Daphne R. Raban

    (University of Haifa)

  • Avishag Gordon

    (University of Haifa)

Abstract

This study examines the effect of technology availability on traditional and evolving learning research output and trends by using bibliometric tools of analysis. Exponential growth in education and learning research output occurred as of the first half of the 1990s with the introduction of the World Wide Web. Rather than becoming an integral part of learning research, the support of network technologies for learning has grown into a research stream which is separate from traditional research areas such as formal and informal learning. It is affiliated with the sciences, including the medical field, more strongly than with the natural home of educational studies, the social sciences. Keyword analysis indicates terms of broad interest, yet their occurrence in the research publications shows the divergence between traditional learning and technology-based research streams. The community of technology-assisted learning research is undergoing evolution. We provide recommendations to promote a more cohesive research community to better navigate in a borderless digital world where learning occurs formally and informally.

Suggested Citation

  • Daphne R. Raban & Avishag Gordon, 2015. "The effect of technology on learning research trends: a bibliometric analysis over five decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 665-681, October.
  • Handle: RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1690-7
    DOI: 10.1007/s11192-015-1690-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1690-7
    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/s11192-015-1690-7?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. Fernanda Morillo & María Bordons & Isabel Gómez, 2003. "Interdisciplinarity in science: A tentative typology of disciplines and research areas," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(13), pages 1237-1249, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yataganbaba, Alptug & Ozkahraman, Bengi & Kurtbas, Irfan, 2017. "Worldwide trends on encapsulation of phase change materials: A bibliometric analysis (1990–2015)," Applied Energy, Elsevier, vol. 185(P1), pages 720-731.

    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. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    2. Andreas Bjurström & Merritt Polk, 2011. "Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 525-550, June.
    3. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    4. Meijun Liu & Sijie Yang & Yi Bu & Ning Zhang, 2023. "Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    5. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    6. Matthias Weber, 2016. "The Effects of Listing Authors in Alphabetical Order: A survey of the Empirical Evidence," Bank of Lithuania Occasional Paper Series 12, Bank of Lithuania.
    7. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    9. Dellaportas, Steven & Xu, Lina & Yang, Zhiqiang, 2022. "The level of cross-disciplinarity in cross-disciplinary accounting research: analysis and suggestions for improvement," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 85(C).
    10. Wilfred Dolfsma & Loet Leydesdorff, 2010. "The citation field of evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 645-664, October.
    11. Xiaolan Wu & Chengzhi Zhang, 2019. "Finding high-impact interdisciplinary users based on friend discipline distribution in academic social networking sites," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1017-1035, May.
    12. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    13. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    14. Lina Xu & Steven Dellaportas & Jin Wang, 2022. "A study of interdisciplinary accounting research: analysing the diversity of cited references," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2131-2162, June.
    15. Reindert K. Buter & Ed. C. M. Noyons & Anthony F. J. Raan, 2011. "Searching for converging research using field to field citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 325-338, February.
    16. Jason Cory Brunson & Xiaoyan Wang & Reinhard C Laubenbacher, 2017. "Effects of research complexity and competition on the incidence and growth of coauthorship in biomedicine," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-23, March.
    17. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    18. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    19. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    20. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    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:105:y:2015:i:1:d:10.1007_s11192-015-1690-7. 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.