Prediction of Success or
Failure for Examination using Nearest Neighbor Method to the
Trend of Weekly Online Testing
Authors
Hideo Hirose
Source
International Journal of Learning
Technologies and Learning Environments (IJLTLE), Vol
2, No 1, pp.19-34,
May 31, 2019.
Abstract
Using
trends of estimated abilities in terms of item response theory
for online testing, we can predict success/failure for term-end
examinations for each student at early stages in courses. We applied
the newly developed nearest neighbor method for determining the
similarity of learning skills in the trends of estimated abilities,
resulting in better prediction accuracy for success or failure.
This paper shows that the use of the learning analytics incorporating
trends for abilities is effective. ROC curve and recall precision
curve are also utilized in the proposed
method.