Machine Learning Based Evaluation of Reading and Writing Difficulties
Mamoru Iwabuchi, Rumi Hirabayashi, Kenryu Nakamura, Dim Nem Khan · Studies in health technology and informatics · 2017
The possibility of auto evaluation of reading and writing difficulties was investigated using non-parametric machine learning (ML) regression technique for URAWSS (Understanding Reading and Writing Skills of Schoolchildren) [1] test data of 168 children of grade 1 - 9. The result showed that the ML had better prediction than the ordinary rule-based decision.