Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Joseph Nese"'
Publikováno v:
Frontiers in Education, Vol 9 (2024)
Automated assessing prosody of oral reading fluency presents challenges due to the inherent difficulty of quantifying prosody. This study proposed and evaluated an approach focusing on specific prosodic features using a deep-learning neural network.
Externí odkaz:
https://doaj.org/article/5474a8864bbb448f8b666f1b57f44045
Autor:
George Sammit, Zhongjie Wu, Yihao Wang, Zhongdi Wu, Akihito Kamata, Joseph Nese, Eric C. Larson
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9808f58bb8d487f6202daee1f9ab385
https://doi.org/10.1109/icassp43922.2022.9747391
https://doi.org/10.1109/icassp43922.2022.9747391
Autor:
Joseph Nese
Publikováno v:
AERA Open, Vol 8 (2022)
Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students’ response to reading interventions to help ensure effective instruction. The purpose of this study was to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29839ee5808bd220bf6dde60cd1a924c
https://doi.org/10.1177/23328584211071112
https://doi.org/10.1177/23328584211071112
Autor:
Joseph Nese
Publikováno v:
Proceedings of the 2020 AERA Annual Meeting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c2838dd44cf9a8a9f91df8e4c08bf53
https://doi.org/10.3102/1576915
https://doi.org/10.3102/1576915