Web-based Learning Solutions for Communities of Practice

have all of the modules implemented. However
we have already developed several modules of
knowledge circulation management system, in the
next section we introduce these modules.
Mentoring System
It is difficult to sustain e-Learning activities. Thus
regular mentoring for learners is important to keep
their motivation to learn. However, to be able to give
all learners advices on demand is costly in terms of
time and effort required from lectures. Therefore automating
mentoring activity is beneficial. Motivated
by this we have developed auto-mentoring system.
We define “auto-mentoring system for supporting
lecturers” as a system in which it is possible to extract
targets by learning from LMS log data and then
sending mentoring messages automatically.
Architecture
The first version of our mentoring system supports
learning activities in a course. In the next version
Figure 3. Architecture of mentoring system
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An Organizational Knowledge Circulation Management System For Universities
we plan to support learners in their courses by also
answering their questions or pointing out their
weak points. The outline of the first version of
mentoring system is shown in Fig.3.
In the beginning, an instructor creates rules
for learner classification and message construction.
These rules are stored in a DB for further
reuse (Fig. 3). Extracting target module matches
leaning log data with production rules of learner
classification module and extracts target learners
who may need mentoring messages. Then sending
message module creates appropriate messages for
target learners and asks the instructor to verify
them. In case instructor allows mentoring system
to send messages to targets learners, sending message
module then sends them to target learners.
Learning activities of each learner are recorded
in leaning log data base through LMS WebClass-
RAPSODY. An example of how e-Karte learners
go through this process is shown in Fig.4.