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Dissertation Defense Conference Call

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Comparison Groups T-stat p-value. Elementary vs. college 1.79 0.05. Middle School vs. high school 1.47 0.07. Middle School vs. college 1.84 0.04. 6. All participants ... – PowerPoint PPT presentation

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Title: Dissertation Defense Conference Call


1
Dissertation Defense Conference Call
  • Mark Moran
  • Doctoral Candidate

2
Dissertation Title
  • College Students Acceptance
  • of
  • Tablet Personal Computerss
  • a Modification of the
  • Unified Theory of Acceptance
  • and Use of Technology Model

3
Significant Data Findings
  • There were statistically significant difference
    found with two population groups.
  • The participants who classified themselves as
    freshman had significant difference with the
    other classifications.
  • There were also significant differences based on
    first computer use among participants.

4
T-test p-value resultsfor grade declaration
  • Comparison Groups T-stat p-value
  • --------------------------------------------------
    -------------
  • Freshman vs. sophomore 1.67 0.04
  • Freshman vs. junior 1.45 0.07
  • Freshman vs. senior 1.59 0.06

5
T-test p-value resultsfor first computer use
declaration
  • Comparison Groups T-stat p-value
  • --------------------------------------------------
    -------------
  • Elementary vs. college 1.79 0.05
  • Middle School vs. high school 1.47 0.07
  • Middle School vs. college 1.84 0.04

6
All participants
7
PLS Findings
  • Behavioral Use
  • Model Intent Behavior Total
  • _______________________________________
  • All 55 11 66
  • Freshman 63 22 85
  • Upper Class 49 7 56

8
Discussion
  • The dissertation model supports five of the six
    hypotheses as discussed in the slides to follow.
  • This whole process has been extremely rewarding
    as it opened a new world of behavioral research
    for this researcher.
  • Although this is a very narrow topic the area has
    many problems to analyze.

9
  • This experience has opened the area of web based
    survey that will be highly valuable for future
    research.
  • The statistically analysis and PLS-Graph
    knowledge gained will benefit both the student
    and his research in the future.
  • The process has changed the way the research
    thinks about addressing a problem.
  • The learning experience is about the journey not
    the destination.

10
The influence of use behavior
  • Reversal of the link between the two dependent
    constructs indicated in the dissertation model
    that use does not contribute to behavioral
    intent.
  • The freshman and upper classmen model does
    indicate a contribution at 7 16 percent
    respectively.
  • This phenomena should be further studied.

11
Future Research
  • The research for this dissertation has opened my
    perceptions of all the possible applications of
    adoption research.
  • There are many opportunities to pursue this type
    of behavioral research and grant opportunities
    should be available.
  • Initially I will be collaborating with Dr. Hawkes
    on the K12 project in South Dakota and publishing
    the dissertation results with Dr. El-Gayar at the
    DSI meeting in San Antonio this fall.

12
  • With the time now, and knowledge, now available
    to me I will be pursuing grant opportunities and
    plan to be active in publishing the findings of
    my research in the next three years.
  • The K12 study with have two data samples, one
    before the pilot study begins and a follow-up
    survey after one year of use in the K12 pilot of
    thirty schools. Approximately 250 teachers will
    be involved and we hope for more than 50
    participation in the survey.

13
Concluding remarks
  • During the dissertation process I have learned
    much more than I thought I might.
  • Technology acceptance is fundamentally about
    about two features of technology ease of use and
    usefulness. Initially they seem the same but they
    are not!

14
  • Ease of use is an interface issue and can be
    changed pretty easily.
  • Usefulness is based on company requirements and
    is very hard to change once a project gets to the
    users.
  • The perception of these characteristics can make
    or break a project.
  • Measurement of these before project
    implementation can alert the organization to
    possible problems that can be averted.

15
  • These are multistable preceptions users can
    rarely recognize both but project success
    requires both so management needs to be aware
    before it is too late!

Usefulness
Ease of Use
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