conform an adaptation process for external assets,
we could suggest one, following the logic (Eri-CAE
Network, 2003) given below:
a) All items that have not yet been administered are
evaluated to determine which will be the best
one to administer next, given the currently
estimated ability level.
b) The “best” next item is administered and the
student responds.
c) A new ability level is computed based on the
responses of the student.
d) Steps 1 to 3 are repeated until a stopping
criterion is met.
Questions would be given randomly to eliminate
cheating. The new ability level is computed based on
the equations (Mia, 1998), used in the MANIC
system (op. cit.) during the quiz sessions to compute
the new estimated ability level (see table 1).
To determine the first OldValue at the beginning
of the test, the student is given with a pre-test
question, after that, for every question, this value
will be updated, based on student’s response.
This could be an automatic and independent
process from the ALE, which could be performed by
a software agent. If the test will be able to use
external multimedia assets, it is also possible to use
an external agent stored in the same server, which
starts the adaptation process in the client’s machine.
5 CONCLUSIONS AND FUTURE
WORK
Online assessment is an important step inside the e-
learning process because gives convenient feedback
to all participants in the process, helping to improve
the learning and teaching experience.
In this paper, we wanted to emphasize the role of
the assessment inside the e-learning process and
defining the factors of importance to the main
elements that participate in this process: the
educative content and adaptation process, the users
or students and the teachers and assessors. We think
that the assessment activity takes place in a specific
point of the process as we show it in the figure I, and
we conceptualized the activity as the link that closes
the chain of the e-learning process.
Adaptability is another key factor in assessment.
Given the fact that assessment is an important
element of the e-learning process and that this
process looks to be interoperable, then we can think
that the assessment tool could be used with different
educative content administrators with different
conceptualizations and ways to design and apply a
test for their students. To face this situation it is
necessary to develop an assessment tool that give
several ways to design an test with different types of
resources, different kind of assessments, group of
students, kind of questions, managing schedules, etc.
Under this conceptualization, we want to create
an Adaptive Assessment Tool (AAT) that could take
into account the specific characteristic of the HyCo
system and be intrinsically part of it.
ACKNOWLEDGMENTS
We want to thank to the group GRIAL (Research
Group in Interaction and eLearning) of the
University of Salamanca for their contributions and
ideas for the development of this work.
In addition, we want to thank to the Education
and Science Ministry of Spain, National Program in
Technologies and Services for the Information
Society, Ref.: TSI2005-00960.
Héctor Barbosa thanks the National System of
Technological Institutes (SNIT – Mexico) for its
financial support.
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