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Designing Electronic Performance Support Systems to Facilitate Learning

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Title: Designing Electronic Performance Support Systems to Facilitate Learning Author: System User Last modified by: cabbott Created Date: 10/20/2005 12:13:33 AM – PowerPoint PPT presentation

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Title: Designing Electronic Performance Support Systems to Facilitate Learning


1
Designing Electronic Performance Support Systems
to Facilitate Learning
  • PSYC 512
  • October 20, 2005
  • Christina Abbott

2
Citation
  • Van Schaik, P., Pearson, R Barker, P.,
    Designing electronic performance support systems
    to facilitate learning. Innovations in Education
    Teaching International, 39(4), 289-306.

3
Why This Article
  • Short
  • Has some glaring problems
  • Relates to terms we know
  • Provides a decision-making tree for descriptive
    and inferential statistics.

4
What an EPSS Should Do?
  • Shiak, Pearson, and Barker state that an EPSS1
    facility designed for educational need should
  • Assess skill fill in the gaps in performance
  • Act as a transfer agent by using on-demand
    mechanisms.
  • Act as an augmentation aid improve performance
    over and above natural ability
  • 1EPSS Electronic Performance Support System

5
Design of This EPSS
  • Goal To design a learning tool for psychology
    students that aids in their understanding of
    various statistical methods.
  • Step 1 Needs Analysis
  • Step 2 Design and Development
  • Database
  • Help System
  • Advisor System
  • Personal Area and Notes

6
Advisor System
  • The Advisor System is a series of decision-making
    trees. The one below is for descriptive
    statistics.

7
Advisor System
  • The decision-making tree below is for inferential
    statistics.

8
Purpose
  • There were three main purposes of the study
  • Analyze students knowledge of concepts in
    quantitative research methods.
  • Establish students performance with system.
  • Establish students overall acceptance of the
    system as a learning aid.

9
Hypothesis
  • The researchers could have increased the
    criticality of the study by including a
    hypothesis for each of the above purposes.
  • For example
  • Researchers could have developed a hypothesis for
    the performance of a group who did not use the
    EPSS to answer knowledge questions (control
    group) with a group that has full access to the
    system.

10
Research Design
  • Participants
  • Sample of 89 sophomore psychology students
  • Students had taken two research classes in their
    first year of study
  • Three parts to the research
  • Knowledge of Concepts in Quantitative Research
    Methods
  • Use of the EPSS
  • System Acceptance

11
Phase 1 - Knowledge of Concepts
  • Independent Variables the test questions
    (nominal)
  • Dependent Variables the answers (ordinal)
  • Confounds
  • confidence level with computers and prior
    knowledge of statistical methods
  • There was no control group specified, i.e. one
    that answered the questions without using the
    EPSS.
  • Could have made the study a within subjects
    design and measured their knowledge before and
    after using the EPSS.

12
Phase 2 Use of the EPSS
  • Independent Variables the test questions
    (nominal)
  • Dependent Variables the answers (ordinal)
    (either correct or found)
  • Confounds
  • confidence level with computers and prior
    knowledge of statistical methods were confounds.
  • there was no control group specified, i.e. one
    that answered the questions without using the
    Advisor, Help, and Tools.
  • Could have made the study a within subjects
    design and measured their knowledge before and
    after using the tool.

13
Phase 3 System Acceptance
  • Survey was a 7 point Lickert Scale with values
    ranging from strongly agree to strongly disagree.
  • Independent Variables the survey questions
    (nominal)
  • Dependent Variables the answers (ordinal)
  • Confounds
  • The students success in Phase 1 and 2 may
    contribute to their overall system acceptance.
  • In previous studies I have done, when the user is
    asked to rate the performance of a system, they
    are really rating his or her success with the
    system. These users had low expectations of the
    system to begin with and expected to struggle.
    Satisfaction level self-reports can be
    misleading.
  • There are more probing questions the researchers
    could have asked, such as where did you get
    stuck and when were you lead astray by the
    system.

14
Hypothesis Implications
  • The null hypothesis was not stated at the
    beginning of the study. 
  • Discussion Section Statements implied that the
    researchers, though misguided, may have had a
    hypothesis in mind.
  • The significant correlations between acceptance
    measures confirmed the association between
    intention of use and perceived usefulness found
    in previous research.
  • The researchers also cited a correlation, but did
    not show the data to back up their claim that
  • Overall students performance using the EPSS was
    higher than unaided performance control group
    on knowledge questions.
  • The researchers could have easily correlated the
    relationship between performance and confidence,
    as they had already gathered the data.

15
Results
  • There was scope for improving students
    performance.
  • Students performance using the EPSS was high.
  • Students performance using the EPSS was higher
    than unaided performance on knowledge questions.
  • Non-significant correlation between students
    performance in terms of knowledge of concepts and
    success in using the EPSS.
  • Students expected that the EPSS would be useful
    to them for learning, revision, and completing
    assignments.

16
Parting Thoughts
  • Ways to improve this study
  • State the hypothesis clearly.
  • Have multiple hypothesis to aid in the
    criticality of study.
  • Correlate performance with acceptance this is
    more powerful than each alone.
  • Ways to improve the article
  • Do not use the term - confirm.
  • State all aspects of the research design -
    include any control group information.
  • Median measure used for Lickert Scale Data ?
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