| To
find key factors not to drop out using learning analytics, we have
added accumulated data such as the number of successes in learning
check testing, the number of attendances to follow-up program classes,
and etc., in addition to learning check testing ability scores
performed at each lecture. Then, we have found key factors strongly
related to the students at risk. They are the following. 1) Badly
failed students (score range is 0-39 in the term examination) tend
to be absent for the regular classes and fail in learning check
testing even if they attended, and they are very reluctant to attend
follow-up program classes. 2) Successful students (score range
is 60-100 in the term examination) attend classes and obtain good
scores in every learning check testing. 3) Failed students but
not so badly (score range is 40-59 in the term examination) reveal
both sides of features appeared in score range of 0-39 and score
range of 60-100. Therefore, it is crucial to attend lectures in
order not to drop out. Students who failed in learning check testing
more than half out of all testing times almost absolutely failed
in the term examination, which could cause the drop out. Also,
students who were successful to learning check testing more than
two third out of all testing times took better score in the term
examination. |
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| learning
check testing, placement test, follow-up program, item response
theory, multiple linear regression, term examination. |
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