--------------------------------------------------------------------------
Summary Referee 1:

Investigation on gender-bias in e-learning systems. A list of suggestions
on how to reflect the gender-bias in adaptive e-learning systems is
provided.

--------------------------------------------------------------------------
Summary Referee 2:

This is mainly a review of the types of issues that appear to be important
in designing interfaces for many women who are readilt intimidated by
computer systems.

There is also an outline of a model based upon reports of studies of users.

--------------------------------------------------------------------------
Summary Referee 3:

In trying to design systems that are sensitive to the needs of different
groups such as different genders, different racial and ethnic groups, etc.
there is a dilemma -- how can you make the system behave in a way
appropriate for each group without forcing people into stereotypes? The
authors propose that the group characteristics can be taken as weak
defaults and coupled with an adaptive mechanism to quickly take account of
individual differences. I would have appreciated some more concrete
examples of how they would envision such interactions to occur.