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Direct linkFu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
Han, Chao; Xiao, Xiaoyan – Language Testing, 2022
The quality of sign language interpreting (SLI) is a gripping construct among practitioners, educators and researchers, calling for reliable and valid assessment. There has been a diverse array of methods in the extant literature to measure SLI quality, ranging from traditional error analysis to recent rubric scoring. In this study, we want to…
Descriptors: Comparative Analysis, Sign Language, Deaf Interpreting, Evaluators
Download full textLinlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Yamamoto, Kentaro; He, Qiwei; Shin, Hyo Jeong; von Davier, Mattias – ETS Research Report Series, 2017
Approximately a third of the Programme for International Student Assessment (PISA) items in the core domains (math, reading, and science) are constructed-response items and require human coding (scoring). This process is time-consuming, expensive, and prone to error as often (a) humans code inconsistently, and (b) coding reliability in…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
Yu, Guoxing; Zhang, Jing – Language Assessment Quarterly, 2017
In this special issue on high-stakes English language testing in China, the two articles on computer-based testing (Jin & Yan; He & Min) highlight a number of consistent, ongoing challenges and concerns in the development and implementation of the nationwide IB-CET (Internet Based College English Test) and institutional computer-adaptive…
Descriptors: Foreign Countries, Computer Assisted Testing, English (Second Language), Language Tests
Liu, Sha; Kunnan, Antony John – CALICO Journal, 2016
This study investigated the application of "WriteToLearn" on Chinese undergraduate English majors' essays in terms of its scoring ability and the accuracy of its error feedback. Participants were 163 second-year English majors from a university located in Sichuan province who wrote 326 essays from two writing prompts. Each paper was…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Liu, Ming; Li, Yi; Xu, Weiwei; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Writing an essay is a very important skill for students to master, but a difficult task for them to overcome. It is particularly true for English as Second Language (ESL) students in China. It would be very useful if students could receive timely and effective feedback about their writing. Automatic essay feedback generation is a challenging task,…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Educational Testing Service, 2006
Innovations, ETS's corporate magazine, provides information on educational assessment for educators, school leaders, researchers and policymakers around the world. Each issue of Innovations focuses on a particular theme in assessment. This issue reports on how new technologies in classrooms around the world are enhancing teaching, learning and…
Descriptors: Foreign Countries, Educational Assessment, Writing Evaluation, Periodicals
