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Direct linkYi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Peer reviewedChen, Jianlin – International Journal of Bilingual Education and Bilingualism, 2020
The parasitic model proposes that novel words in L3 learning will build parasitic connections to already learned words that share orthographic or phonological similarities. This accounts for little in terms of the connections between words that share very few similarities. The present study explored the parasitic connections of L3 word concepts to…
Descriptors: Multilingualism, Native Language, Second Language Learning, English (Second Language)
Howard, Keith E.; Anderson, Kenneth A. – Middle Grades Research Journal, 2010
Stereotype threat research has demonstrated how presenting situational cues in a testing environment, such as raising the salience of negative stereotypes, can adversely affect test performance (Perry, Steele, & Hilliard, 2003; Steele & Aronson, 1995) and expectancy (Cadinu, Maass, Frigerio, Impagliazzo, & Latinotti, 2003; Stangor,…
Descriptors: Cues, Stereotypes, Standardized Tests, Foreign Countries
Download full textHu, 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
