Searching Interactions and Perceived Learning

  • Xiangmin ZhangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9753)


This research investigates the user’s learning during interactive searching process, to find out what search behaviors would be associated with the user’s perceived learning, and whether or not the user’s perceived learning could be reflected in the existing search performance measures, so that such measures could also be used for indicating learning during searching process. The research used a data set collected by a research project on searching, which involved 35 participants at a major US university. The results show that the number of documents saved is significantly correlated with perceived learning for all search topics. None of the search performance measures is correlated with perceived learning in general. However, for specific topics, one of the performance measures, Recall, is significantly correlated with perceived learning. The results and the implications of the findings are discussed.


Searching interactions Learning by searching Perceived learning Searching behavior Search performance 



The author thanks the Personalization of the Digital Library Experience research team (supported by IMLS grant LG 06-07-0105-07) who collected and shared the data, without which this work would not have been accomplished.


  1. 1.
    Anderson, L.W., Krathwohl, D.A.: A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Longman, New York (2001)Google Scholar
  2. 2.
    Bruce, C., Hughes, H.: Informed learning: a pedagogical construct attending simultaneously to information, use and learning. Libr. Inf. Sci. Res. 32(2010), A2–A8 (2010)CrossRefGoogle Scholar
  3. 3.
    Downes, S.: Learning objects: resources for distance education worldwide. Int. Rev. Res. Open Distance Learn. 2(1), 1–35 (2001)Google Scholar
  4. 4.
    Duggan, G.B. Payne, S.J.: Knowledge in the head and on the web: using topic expertise to aid search. In: Proceedings of the SIGCHI 2008, pp. 39–48 (2008)Google Scholar
  5. 5.
    Edelson, D.C., Gordin, D.N., Pea, R.D.: Addressing the challenges of inquiry-based learning through technology and curriculum design. J. Learn. Sci. 8(3&4), 391–450 (1999)CrossRefGoogle Scholar
  6. 6.
    Farwick, R., Hester, O.J.L., Teale, W.H.: Where do you want to go today? Inquiry-based learning and technology integration. Read. Teach. 55(7), 616–625 (2002)Google Scholar
  7. 7.
    Goldman, S.R., Braasch, J., Wiley, J., Graesser, A., Brodowinska, K.: Comprehending and learning from Internet sources: Processing patterns of better and poorer learners. Read. Res. Q. 47(4), 356–381 (2012)Google Scholar
  8. 8.
    Hersh, W., Voorhees, E.: TREC genomics special issue overview. Inf. Retrieval 12(1), 1–15 (2009)CrossRefGoogle Scholar
  9. 9.
    Jansen, B.J., Booth, D., Smith, B.: Using the taxonomy of cognitive learning to model online searching. Inf. Process. Manag. 45(2009), 643–663 (2009)CrossRefGoogle Scholar
  10. 10.
    Kuhlthau, C.: Seeking Meaning, 2nd edn. Libraries Unlimited, Westport (2004)Google Scholar
  11. 11.
    MacGregor, S.K., Lou, Y.: Web-based learning: how task scaffolding and web site design support knowledge acquisition. J. Res. Technol. Educ. 37(2), 161–175 (2005)CrossRefGoogle Scholar
  12. 12.
    Marchionini, G.: Exploratory search: from finding to understanding. Commun. ACM 49(4), 41–46 (2006)CrossRefGoogle Scholar
  13. 13.
    Marchionini, G., Maurer, H.: The roles of digital libraries in teaching and learning. Commun. ACM 38(4), 67–75 (1995)CrossRefGoogle Scholar
  14. 14.
    Shih, J.-L., Chuang, C.-W., Hwang, G.-J.: An inquiry-based mobile learning approach to enhancing social science learning effectiveness. Educ. Technol. Soc. 13(4), 50–62 (2010)Google Scholar
  15. 15.
    Van Rijsbergen, C.J.: Information Retrieval, 2nd edn. Butterworth, Newton (1979)zbMATHGoogle Scholar
  16. 16.
    Yin, C., Sung, H.-Y., Hwang, G.-J., Hirokawa, S., Chu, H.-C., Flanagan, B., Tabata, Y.: Learning by searching: a learning environment that provides searching and analysis facilities for supporting trend analysis activities. Educ. Technol. Soc. 16(3), 286–300 (2013)Google Scholar
  17. 17.
    Zhang, X., Liu, J., Liu, C., Cole, M.: Factors influencing users’ perceived learning during online searching. In: Proceedings of the 9th International Conference on e-Learning (ICEL-2014), pp. 200–210 (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Wayne State UniversityDetroitUSA

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