Title
Success/Failure Prediction for Final Examination using the Trend of Weekly Online Testing

Authors

H. Hirose


Source

7th International Conference on Learning Technologies and Learning Environments (LTLE2018), pp.139-145, July 8-12, 2018.


Abstract
Using the trends of estimated abilities in terms of item response theory for online testing,
we can predict the success/failure status for the final examination to each student at early stages in courses.
In prediction, we applied the newly developed nearest neighbor method for determining the similarity in the trends of estimated abilities.
This paper shows that the use of the learning analytics incorporating the trends for abilities is effective.

Key Words
follow-up program, follow-up system, learning check testing, follow-up program testing, collaborative work testing, item response theory, adaptive online testing.

Citation

@

Times Cited in Web of Science:

Cited in Books: