SEARCH

SEARCH BY CITATION

REFERENCES

  • Barker, L. J. (June, 2009). Science teachers' use of online resources and the digital library for Earth system education. Unpublished paper presented at the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, Austin, TX, USA.
  • Barreau, D. (2008). The persistence of behavior and form in the organization of personal information. Journal of the American Society for Information Science and Technology, 59(2), 307317.
  • Barreau, D. (1995). Context as a factor in personal information management systems. Journal of the American Society for Information Science, 46(5), 327339.
  • Becker, H. J., Ravitz, J. L., & Wong, Y. T. (1999). Teacher and teacher-directed student use of computers and software. Teaching, Learning, and Computing: 1998 National Survey. Report #3.
  • Boardman, R. (2004). Improving Tool Support for Personal Information Management. University of London, London, UK.
  • Boyatzis, R. E. (1998). Transforming qualitative information: thematic analysis and code development. Thousand Oaks, CA: SAGE.
  • Carlson, B., & Reidy, S. (2004). Effective access: teachers' use of digital resources (research in progress). OCLC Systems & Services, 20(2).
  • Davis, R. W. (1987). A study of the information needs, behaviors, and required information services of Oregon educators. Unpublished doctoral dissertation, Colorado State University.
  • Diekema, A. R., & Olsen, M. W. (2011). Personal Information Management Practices of Teachers. Paper presented at the ASIS&T 2011, New Orleans, LA, USA.
  • Eisenberg, M. B., & Barry, C. (1988). Order effects: A Study of the Possible Influence of Presentation Order on User Judgments of Document Relevance. Journal of the American Society for Information Science, 39(5), 293300.
  • Ellis, D. (1996). The Dilemma of Measurement in Information Retrieval Research. Journal of the American Society for Information Science, 47(1), 2336.
  • Fidel, R. (2012). Human information interaction: an ecological approach to information behavior. Cambridge, Mass.: MIT Press.
  • Fidel, R. (2012a). In-Context Research. In R. Fidel (Ed.), Human information interaction: an ecological approach to information behavior (pp. 145165). Cambridge, Mass.: MIT Press.
  • Gray, L., Thomas, N., and Lewis, L. (2010). Teachers' use of educational technology in U.S. public schools: 2009. Washington, DC: IES/NCES. Retrieved August 10, 2010.
  • Hart, C. T. (2008). Exploring the information-seeking behavior of the staff and students of the Florida Virtual School: A case study. Unpublished doctoral dissertation, Florida State University.
  • Hjørland, B. (2010). The foundation of the concept of relevance. [Article]. Journal of the American Society for Information Science & Technology, 61(2), 217237
  • Hull, D. A. (1993). Using Statistical Testing in the Evaluation of Retrieval Experiments. Paper presented at the ACM/SIGIRAssociation for Computing Machinery Special Interest Group on Information Retrieval (ACM/SIGIR).
  • Jones, W. (2007). Personal Information Management. Annual Review of Information Science and Technology, 41(1), 453504.
  • Karchmer, R. A. (2001). The journey ahead: Thirteen teachers report how the Internet influences literacy and literacy instruction in their K-12 Ccassrooms. Reading Research Quarterly, 36(4), 442466.
  • Khoo, M. (2006). NSDL user survey 2006. Boulder, CO.: NSDL Core Integration.
  • Kwasňik, B. H. (1989). The influence of context on classificatory behavior.
  • Kwasňik, B. H. (1991). The importance of factors that are not document attributes in the organisation of personal documents. Journal of Documentation, 47(4), 389398.
  • Lansdale, M. (1988). The psychology of personal information management. Applied Ergonomics, 19(1), 5566.
  • Levin, D., Arafeh, S., & Rainie-Director, L. (2002). The digital disconnect: The widening gap between Internet-savvy students and their schools. Washington, DC: Pew Internet in American Life Project & American Institutes for Research.
  • McAlpine, L., Weston, C, Berthiaume, D., & Fairbank-Roch, G. (2006). How Do Instructors Explain Their Thinking When Planning and Teaching?. Higher Education, 51(1), 125155.
  • Pattuelli, M. C. (2008). Teachers' perspectives and contextual dimensions to guide the design of N.C. history learning objects and ontology. Information Processing & Management, 44(2), 635646.
  • Perrault, A. M. (2007). An exploratory study of biology teachers' online information seeking practices. School Library Media Research, 10.
  • Porter, A., McMaken, J., Hwang, J., & Yang, R. (2011). Common Core Standards: The New U.S. Intended Curriculum. Educational Researcher, 40(3), 103116.
  • Recker, M., Walker, A., Giersch, S., Mao, X., Halioris, S., Palmer, A., et al. (2007). A study of teachers' use of online learning resources to design classroom activities. New Review of Hypermedia & Multimedia, 13(2), 117134.
  • Recker, M. M., Dorward, J., & Nelson, B. C. (2004). Discovery and use of online learning resources: Case Study Findings. Educational Technology & Society, 7(2), 93104.
  • Recker, M., Dorward, J., Dawson, D., Liu, Y., Mao, X., & Palmer, B. (2005). You can lead a horse to water: teacher development and use of digital library resources. In Digital Libraries, 2005. JCDL'05. Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 18).
  • Reitsma, R., Marshall, B., Dalton, M., & Cyr, M. (2008). Exploring educational standard alignment: in search of ‘relevance’. Paper presented at the Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries, Pittsburgh PA, PA, USA.
  • Salton, G. (1992). The State of Information Retrieval System Evaluation. Information Processing & Management, 28(4), 441449.
  • Saracevic, T. (1975). Relevance: A review of and a framework for the thinking on the notion in information science. Journal of American Society for Information Science, 26(6), 321343.
  • Saracevic, T. (2007a). Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance. Journal of the American Society for Information Science and Technology, 55(13), 19151933.
  • Saracevic, T. (2007b). Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance. Journal of the American Society for Information Science and Technology, 55(13), 21262144.
  • Schamber, L., Eisenberg, M. A., & Nilan, M. S. (1990). A Re-examination of Relevance: Toward a Dynamic, Situational Definition. Information Processing & Management, 26(6), 755776.
  • Smeaton, A. F., & Callan, J. (2005). Personalisation and recommender systems in digital libraries. International Journal on Digital Libraries, 57(4), 299308.
  • Soloway, E, (1996). Teachers are the key. Communications of the ACM, 39(6), 1114.
  • Tanni, M., Sormunen, E., & Syvänen, A. (2008). Prospective history teachers' information behaviour in lesson planning. Information Research, 13(4), 31.
  • Wallace, R. M. (2004). A framework for understanding teaching with the Internet. American Educational Research Journal, 41(2), 447488.
  • Yinger, R. (1979). Routines in Teacher Planning. Theory into Practice, 18(3), 163169.