Results 261 to 270 of about 4,044,436 (277)

Automated Scoring of Spontaneous Speech from Young Learners of English Using Transformers

Spoken Language Technology Workshop, 2021
This study explores the use of Transformer-based models for the automated assessment of children’s non-native spontaneous speech. Traditional approaches for this task have relied heavily on delivery features (e.g., fluency), whereas the goal of the ...
Xinhao Wang, Keelan Evanini, Yao Qian, Matthew David Mulholland   +3 more
semanticscholar   +1 more source

Assessing L2 English speaking using automated scoring technology: examining automarker reliability

Assessment in education : Principles, Policy & Practice, 2021
Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy.
Jing Xu, Edmund Jones, V. Laxton, E. Galaczi   +3 more
semanticscholar   +1 more source

Validation of an automated scoring program for a digital complex figure copy task within healthy aging and stroke.

Neuropsychology, 2021
OBJECTIVE Complex Figure Copy Tasks are one of the most commonly employed neuropsychological tests. However, manual scoring of this test is time-consuming, requires training, and can then still be inconsistent between different examiners.
S. Webb, M. Moore, A. Yamshchikova, Valeska Kozik, M. Duta, Irina Voiculescu, N. Demeyere   +6 more
semanticscholar   +1 more source

Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing

Language Testing, 2020
An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix
Syed Latifi, Mark J. Gierl
semanticscholar   +1 more source

Automated Essay Scoring and Revising Based on Open-Source Large Language Models

IEEE Transactions on Learning Technologies
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this ...
Yishen Song, Qianta Zhu, Huaibo Wang, Qinhua Zheng   +3 more
semanticscholar   +1 more source

Automated Essay Scoring: A Reflection on the State of the Art

Conference on Empirical Methods in Natural Language Processing
While steady progress has been made on the task of automated essay scoring (AES) in the past decade, much of the recent work in this area has focused on developing models that beat existing models on a standard evaluation dataset.
Shengjie Li, Vincent Ng
semanticscholar   +1 more source

Elementary teachers' perceptions of automated feedback and automated scoring: Transforming the teaching and learning of writing using automated writing evaluation

Comput. Educ., 2021
Joshua Wilson, Cristina Ahrendt, Emily A. Fudge, Alexandria Raiche, Gaysha Beard, C. MacArthur   +5 more
semanticscholar   +1 more source

Automated scoring of dicentric chromosomes differentiates increased radiation sensitivity of young children after low dose CT exposure in vitro

International Journal of Radiation Biology, 2018
Purpose: Automated detection of dicentric chromosomes from a large number of cells was applied to study age-dependent radiosensitivity after in vitro CT exposure of blood from healthy donors.
U. Oestreicher, D. Endesfelder, M. Gomolka, A. Kesminiene, P. Lang, C. Lindholm, U. Rössler, D. Samaga, U. Kulka   +8 more
semanticscholar   +1 more source

Automated Feedback and Automated Scoring in the Elementary Grades: Usage, Attitudes, and Associations with Writing Outcomes in a Districtwide Implementation of MI Write

International Journal of Artificial Intelligence in Education, 2021
Joshua Wilson, Yue Huang, C. Palermo, Gaysha Beard, C. MacArthur   +4 more
semanticscholar   +1 more source