Using Diffusion of Innovations to Explore Digital Gaming in Undergraduate Library Instruction Metadata

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  • Main Title Using Diffusion of Innovations to Explore Digital Gaming in Undergraduate Library Instruction


  • Author: Robertson, Michael James
    Creator Type: Personal


  • Chair: Jones, James G.
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Chair: O'Connor, Brian Clark
    Contributor Type: Personal
    Contributor Info: Co-major Professor
  • Committee Member: Cleveland, Ana D.
    Contributor Type: Personal
  • Committee Member: Du, Yunfei
    Contributor Type: Personal


  • Name: University of North Texas
    Place of Publication: Denton, Texas


  • Creation: 2009-08
  • Digitized: 2009-10-27


  • English


  • Content Description: Digital games and simulations are receiving considerable notice within the Library and Information Science (LIS) community. This study adds to the depth of knowledge in this area by providing research on the likelihood a hypothetical digital game delivery method for library instruction achieves sufficient adoption to justify its development. Furthermore, this knowledge will assist decision making processes for individuals debating the current or potential role of digital gaming at their institutions. In this mixed methods study, over 300 undergraduates were surveyed about their technology preferences, including digital gaming, for delivery of two forms of academic library instruction. The two forms of library instruction were (a) providing users with spatial information on physical library layout, and (b) educating users on information literacy topics and skills. Observational data was collected during the survey sessions, occurring at face-to-face library instruction sessions. Self-selected survey participants were also interviewed to further probe their survey responses. Rogers' Diffusion of Innovations was the theoretical foundation to this research. The primary innovation of study was the digital game delivery method. Detailed analysis of the survey-based data set included three nonparametric scaling methods: 1) rank-sum scaling; 2) circular triad analysis; and 3) multidimensional preference mapping. Content analysis of the observations and semi-structured interviews also occurred. Major outcomes were 1) the digital game delivery method achieved mediocre preference across both questions; 2) the audiovisual delivery method received the highest overall preference ranking; and 3) overall preference for the audio-only delivery method was remarkably low. The most important theme across the observational data was the participants' waning attention during the face-to-face library instruction sessions. The most important outcome from the semi-structured interviews was interviewees' stated appreciation for useful technologies. Over 95% of participants were so-called digital natives, that is, born post-1980. Rogers' assertion that age plays a minor role in predicting technology adoption appears warranted, since the more innovative digital game delivery method achieved mediocre overall preference.


  • Keyword: Digital game
  • Keyword: instructional technology
  • Keyword: user studies
  • Keyword: technology planning
  • Keyword: library instruction
  • Library of Congress Subject Headings: Library orientation for college students.
  • Library of Congress Subject Headings: Educational technology.
  • Library of Congress Subject Headings: Simulation games in education.
  • Library of Congress Subject Headings: Educational games.
  • Library of Congress Subject Headings: Computer games.
  • Library of Congress Subject Headings: Education, Higher -- Computer-assisted instruction.
  • Library of Congress Subject Headings: Diffusion of innovations.


  • Name: UNT Theses and Dissertations
    Code: UNTETD


  • Name: UNT Libraries
    Code: UNT


  • Rights Access: public
  • Rights License: copyright
  • Rights Holder: Robertson, Michael James
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights reserved.

Resource Type

  • Thesis or Dissertation


  • Text


  • OCLC: 489685189
  • UNT Catalog No.: b3808104
  • Archival Resource Key: ark:/67531/metadc11011


  • Degree Name: Doctor of Philosophy
  • Degree Level: Doctoral
  • Degree Discipline: Information Science
  • Academic Department: College of Information
  • Degree Grantor: University of North Texas