The use of speech technology in children’s reading assessment can help teachers to diagnose reading difficulties and plan appropriate interventions for a large number of students. We present a Bayesian Network model of student reading comprehension that can be used to estimate automatic scores for a child’s spoken answers to open-ended questions about a text. Through the use of features derived...

In this paper, we propose a statistical evaluation method of pronunciation proficiency and intelligibility for presentations made in English by native Japanese speakers. We statistically analyzed the actual utterances of speakers to find combinations of acoustic and linguistic features with high correlation between the scores estimated by the system and native English teachers. Our results show...

Migrant Youths’ Educational Achievement: The Role of Institutions We use 2009 Programme of International Student Assessment (PISA) data to link institutional arrangements in OECD countries to the disparity in reading, math, and science test scores for migrant and native-born students. We find that achievement gaps are larger for those migrant youths who arrive later and for those who do not spe...

In this paper, we propose a statistical evaluation method of pronunciation proficiency and intelligibility for presentations made in English by native Japanese speakers. We statistically analyzed the actual utterances of speakers to find combinations of acoustic and linguistic features with high correlation between the scores estimated by the system and native English teachers. Our results show...