Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

USER PERCEIVED LEARNING FROM INTERACTIVE SEARCHING ON BIG MEDICAL LITERATURE DATA

School of Information Sciences, Wayne State University 106 Kresge Library, Detroit, MI 48202, USA

As in other fields, search engines have been heavily used as an information accessing tool for massive amount of medical literature data. This research investigates the user’s learning during interactive searching process with the PubMed data, 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 classical search performance measures is correlated with perceived learning. 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.
  Figure/Table
  Supplementary
  Article Metrics

Citation: Xiangmin Zhang. USER PERCEIVED LEARNING FROM INTERACTIVE SEARCHING ON BIG MEDICAL LITERATURE DATA. Big Data and Information Analytics, 2017, 2(3&4): 239-254. doi: 10.3934/bdia.2017019

References

  • [1] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett and M. K. Norman, How Learning Works: Seven Research-Based Principles for Smart Teaching, Jossey-Bass, A Wiley Imprint. P. 3, 2010.
  • [2] L. W. Anderson and D. A. Krathwohl, A Taxonomy for Learning, Teaching, and assessing: A Revision of Bloom's Taxonomy of Educational Objectives, New York: Longman, 2001.
  • [3] N. J. Belkin, R. N. Oddy and H. M. Brooks, ASK for information retrieval: Part 1: Back-ground and theory, Journal of Documentation, 38 (1982), 61–71.
  • [4] Bransford, J. D., Brown, A. L. and R. R. Cocking, How People Learn: Brain, Mind, Expe-rience, and School, Washington: National Academies Press, 2000.
  • [5] C. Bruce and H. Hughes, Informed learning: A pedagogical construct attending simultane-ously to information, use and learning, Library & Information Science Research, 32 (2010), A2–A8.
  • [6] Downes, Learning Objects: Resources For Distance Education Worldwide, International Re-view of Research in Open and Distance Learning, 2001.
  • [7] G. B. Duggan and S. J. Payne, Knowledge in the head and on the web: Using topic expertise to aid search, CHI '08 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2008, 39–48.
  • [8] D. C. Edelson, D. N. Gordin and R. D. Pea, Addressing the challenges of inquiry-based learning through technology and curriculum design, Journal of the Learning Sciences, 8 (1999), 391–450.
  • [9] R. Farwick, O. J. L. Hester and W. H. Teale, Where do you want to go today? Inquiry-based learning and technology integration, The Reading Teacher, 55 (2002), 616–625.
  • [10] S. R. Goldman, J. Braasch, J. Wiley, A. Graesser and K. Brodowinska, Comprehending and learning from internet sources: Processing patterns of better and poorer learners, Reading Research Quarterly, 47 (2012), 356–381.
  • [11] W. Hersh and E. Voorhees, TREC genomics special issue overview, Information Retrieval, 12 (2009), 1–15.
  • [12] B. J. Jansen, D. Booth and B. Smith, Using the taxonomy of cognitive learning to model online searching, Information Processing and Management, 45 (2009), 643–663.
  • [13] C. Kuhlthau, Seeking Meaning, 2nd ed., Libraries Unlimited, Westport, CT, 2004.
  • [14] S. K. MacGregor and Y. Lou, Web-based learning: How task sca_olding and web site design support knowledge acquisition, Journal of Research on Technology in Education, 37 (2004), 161–175.
  • [15] G. Marchionini, Exploratory search: From _nding to understanding, Communications of the ACM, 49 (2006), 41–46.
  • [16] G. Marchionini and H. Maurer, The roles of digital libraries in teaching and learning, Comm-nication of the ACM, 38 (1995), 67–75.
  • [17] J. Ormrod, Educational Psychology? Developing Learners, 7th Ed., Pearson, New York, 2011.
  • [18] S. Y. Rieh, K. Collins-Thompson, P. Hansen and H. J. Lee, Towards searching as a learn-ing process: A review of current perspectives and future directions. Journal of Information Science, 42 (2016), 19–34.
  • [19] J.-L. Shih, C.-W. Chuang and G.-J. Hwang, An Inquiry-based Mobile Learning Approach to Enhancing Social Science Learning E_ectiveness, Educational Technology & Society, 13 (2010), 50–62.
  • [20] P. Vakkari, Searching as learning: A systematization based on literature, Journal of Infor-mation Science, 42 (2016), 7–18.
  • [21] C. J. Van Rijsbergen, Information Retrieval (2nd ed.), Butterworth, 1979.
  • [22] A. Walraven, S. Brand-Gruwel and H. P. A. Boshuizen, How students evaluate information and sources when searching the World Wide, Web for information. Computers & Education, 52 (2009), 234–246.
  • [23] T. Willoughby, S. A. Anderson, E. Woodc, J. Mueller and C. Ross, Fast searching for in-formation on the Internet to use in a learning context: The impact of domain knowledge, Computers & Education, 52 (2009), 640{648.
  • [24] C. Yin, H.-Y. Sung, G.-J. Hwang, S. Hirokawa, H.-C. Chu, B. Flanagan and Y. Tabata, Learning by Searching: A Learning Environment that Provides Searching and Analysis Facil-ities for Supporting Trend Analysis Activities, Educational Technology & Society, 14 (2013), 1865–1889.
  • [25] X. Zhang, J. Liu, C. Liu and M. Cole, Factors inuencing users?perceived learning during online searching, in: Proceedings of the 9th International Conference on e-Learning (ICEL-2014), 2014, 200–210.

 

Reader Comments

your name: *   your email: *  

Copyright Info: 2017, Xiangmin Zhang, licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved