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Net-centric User Knowledge Assessment

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Title: Net-centric User Knowledge Assessment


1
Net-centric User Knowledge Assessment
Net-centric User Knowledge Assessment
  • Chris Isgrig
  • CMSC 601_SP11

2
Introduction
  • Over the past 20-years, the Department of Defense
    (DoD) has had the goal of evolved from being
    platform-centric to becoming network-centric
    (net-centric).
  • The enabling technology for the net-centric
    concept is Quality of Service (QoS)
  • Networked systems are causing people to loose
    contact
  • The cloud is made out of people
  • Personnel structures are more distributed as
    matrixed organizations and virtual teams.
  • How are the people in the cloud going to be
    selected, trained or promoted?

3
DIKW Hierarch
4
Theoretical Framework and Enabling Concepts
5
Technical or Social
  • The stated intent of the net-centric concept is
    to have systems and organizations that are built
    around human and organizational behavior.
  • The stated goal is to change human and
    organizational behavior through technology

6
Problem
  • The net-centric concept requires that all of the
    data be visible and available to the users
  • Some of the systems data and all of the systems
    knowledge is in the users heads.
  • It there a way to find out what the users know?

7
Selected References
  • "Net-Centric Checklist", Version 2.1.3, May 12,
    2004. DOD OASD NII DCIO.
  • Alberts, D. S., Garstka, J., Stein, F. (1999).
    Network Centric Warfare Developing and
    Leveraging Information Superiority. Wasshington,
    DC CCRP.
  • Alberts, D. S., Hayes, R. E. (2003). Power to
    the edge command and control in the information
    age Washington, DC.
  • Attali, Y., Bridgeman, B., Trapani, C. (2010).
    Performance of a Generic Approach in Automated
    Essay Scoring. Journal of Technology, Learning,
    and Assessment, 10(3).
  • Bentham, J. (1787). The Panopticon Writings.
    London Verso.
  • Christie, J. (2003). Automated essay marking for
    content does it work. Loughborough, UK
    Loughborough University.
  • Clariana, R. B.(2010). Multi-decision Approaches
    for Eliciting Knowledge Structure. New York, NY
    Springer.
  • Kaplan, J. M. (2006). A New Conceptual Framework
    for Net-Centric, Enterprise-Wide,
    System-of-Systems Engineering, National Defense
    Univ Washington DC Center For Technology National
    Security Policy. Ft. Belvoir. http//handle.dtic.m
    il/100.2/ADA453974
  • Lajis, A., Aziz, N. A. (2010). NL Scoring
    Technique for the Assessment of Learners'
    Understanding. Paper presented at the Second
    International Conference on Computer Research and
    Development, 2010 Kuala Lumpur.
  • Landauer, T. K., Foltz, P., Laham, D. (1998).
    An Introduction to Latent Semantic Analysis.
    Discourse Processes, 25, 259-284.
  • Page, E. B. (1967). Statistical and linguistic
    strategies in the computer grading of essays.
    Paper presented at the Proceedings of the 1967
    conference on Computational linguistics.
  • Phister, P. W., Plonish, I. G. (2004).
    Information and Knowledge Centric Warfare The
    Next Steps in the Evolution of Warfare. Rome, NY.

8
Approach
  • Assess current systems to determine if it is
    currently possible to locate knowledge on a
    network.
  • Develop a method that provides progress toward
    that goal.

9
AES Methods
  • Statistical Analysis of Features
  • Latent Semantic Analysis (LSA)
  • Natural Language Processing (NLP)

10
Measuring Conformity
Which is the better Mona Lisa?
Which would an automated system give the higher
score?
11
Can it Get a Joke
  • I met a man who said he had not had a bite in
    three daysso I bit him

I Met
Ambiguity
12
Human Scoring
  • Subjective
  • Inconsistent
  • Can be modeled

13
Blooms Taxonomy
14
Current AES Ability
15
Questions ?
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