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An additional very complicated problem for the
application of such a method is minimization of
the experts' (decision makers') subjectivity. There
are some scientific approaches concerning this
issue, but this is out of the scope of this Chapter
and will be analyzed separately in future works.
The issues of personalization and adaptation
of the learning software also deserve further
investigation and a more detailed analysis in the
scientific literature is needed.
Q4R. (2008). Quality for Reuse project website .
Retrieved from http://www.q4r.org
Ardito, C., Costabile, M. F., De Marsico, M.,
Lanzilotti, R., Levialdi, S., Roselli, T., & Rossano,
V. (2006). An approach to usability evaluation of
e-learning applications. Universal Access in the
Information Society , 4 , 270-283. doi:10.1007/
s10209-005-0008-6
ATutor. (2009). ATutor VLE web site . Retrieved
on June 30, 2009, from http://www.atutor.ca/
Chua, B. B., & Dyson, L. E. (2004). Applying the
ISO9126 model to the evaluation of an elearning
system. In R. Atkinson, C. McBeath, D. Jonas-
Dwyer & R. Phillips (Eds.), Beyond the comfort
zone: Proceedings of the 21st ASCILITE Confer-
ence (pp. 184-190). Perth, 5-8 December.
5. CONCLUSION
A scientific principle was proposed for software
evaluation that is suitable for various learning
software multiple criteria evaluation tasks. The
authors have developed comprehensive LOs,
LORs and VLEs technical quality evaluation tools
(sets of criteria) created according to this principle .
The authors proposed to use a learning software
quality evaluation method , represented by the
experts' additive utility function, which is based
on the transformation of a multiple criteria task
into a one-criterion task, obtained by adding all
the criteria ratings (values) together with their
weights. This method is applicable to LOs, LORs
and VLEs practical expert evaluation in order to
meet particular learner needs. Such an approach
has never been applied before for solving the
learning software evaluation and optimization
tasks. This could be of importance for public and
private sector experts (decision makers), software
engineers, programmers, and users.
Creative Commons. (2009). Creative Commons
website . Retrieved on June 30, 2009, from http://
creative commons.org/
DSpace. (2009). DSpace repository software
website . Retrieved on June 30, 2009, from http://
www.dspace.org/
Dublin Core. (2009). Dublin Core Metadata
Initiative website . Retrieved on June 30, 2009,
from http://dublincore.org/
Duval, E., Hodgins, W., Sutton, S., & Weibel,
S. L. (2002). Metadata principles and practicali-
ties. D-Lib Magazine, 8 (4). Retrieved on June
30, 2009, from http://www.dlib.org/ dlib/ april02/
weibel/ 04weibel. html
Dzemyda, G., & Saltenis, V. (1994). Multiple
criteria decision support system: Methods, user's
interface and applications. Informatica , 5 (1-2),
31-42.
REFERENCES
W3C (2009). World Wide Web Consortium Web
content accessibility guidelines. Retrieved on
June 30, 2009, from http://www.w3.org/ TR/
WAI- WEB CONTENT/
EPrints. (2009). EPrints repository website .
Retrieved on June 30, 2009, from http://www.
eprints.org/
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