Date: August 1 - 14, 2003
The biggest impact of e-learning will be when personalized instruction
comes of age. Computer based education provides us a one-to-one
interaction between a student and his computer - an ideal ground
for personalization.
Exploiting personalization requires powerful
devices to model a student's current state of understanding, learning
preferences, background, etc as well as a matching representation
of learning
content. There has been early work on student models leading to
characterizations such as buggy models and overlay models. Our
concern in e-learning is from a much higher level.
In this seminar,
we explore the aspects to be modelled, mechanisms to model them,
ways of using these models, their impact on other parts (such as
content design) of e-learning, and so on. It is not meant to be
a very abstract discussion - but reflecting on practical scenarios
and our own experiences, to form/organize/evaluate the body of
work in this comparatively little exploited domain.
Come and think
aloud with all of us!
About our Facilitator...
Sasi is a senior research scientist with National
Centre for Software Technology (NCST), Mumbai, India and in charge of the Artificial
Intelligence and Educational Technology groups at NCST. Sasi has
13 years' teaching experience using technology in courses.Visit
the Vidyakash
web site for further information about NCST's work
in online learning. Sasi's dream is to explore online learning
fully to realise the best possible learning experience true to
the claims of anytime, anyplace, anywhere learning.
Seminar Resources
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