MULTI CRITERIA DECISION MAKING APPLICATIONS IN HIGHER OPEN AND DISTANCE LEARNING SYSTEMS

bigskymanAI and Robotics

Oct 24, 2013 (3 years and 9 months ago)

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MULTI CRITERIA DECIS
ION MAKING APPLICATI
ONS IN HIGHER
OPEN AND DISTANCE LE
ARNING SYSTEMS



Zehra Kamisli Ozturk


Anadolu University

Industrial Engineering Department

Eskisehir/TURKEY

zkamisli@anadolu.edu.tr



In this study, we consider a number of the general
multi criteria
decision problems that may be encounter in
many Higher O
pen
and Distance L
earning (ODL)
institutions, and we also discuss possible

solution approaches
like mathematical programming approach
es, AHP, ANP and genetic algorithms.


Th
e terms open and distance
learning

represent approaches that focus on opening access to education and
training provision, freeing learners from the constraints of time and place, and offering flexible learning
oppor
tunities to individuals and groups of learners.
The m
anagement of

ODL institutions often differs

from

the
management of traditional face
-
t
o
-
face educational institutions,

this being reflected in

the structure of the
institution

and generating a clear diffe
rentiation between the types of learners
. The management of ODL
institutions has a
particular

character
reflecting the

wide area

served by the education provision.



Some of the multi criteria problems faced in ODL systems are vehicle routing, learner
-
prac
tice assignment,
application model selection and learning management system selection.
As seen from the examples, managers
have to make decision around various tasks continuously. Usually, the effort is towards minimising the operating
costs of ODL systems

and as technological progress continues these multi objective decision problems will
continue to occur. The presence of multiple actors, e.g. academic personnel and learners etc., brings out user
satisfaction problems and issues that
complicate
these

deci
sion problems and, furthermore, in educational
institutions most of the problems are institution
-
specific because of particular local constraints and parameters.
Under these circumstances, in the solution processes of most problems a need for heuristics oc
curs. We have
looked at a small subset of ODL related decision problems in this
study
, and many of the problems discussed
here can be found across the spectrum of traditional higher education systems.