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Almusharraf, Norah; Alotaibi, Hind – Technology, Knowledge and Learning, 2023
Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…
Descriptors: Writing Evaluation, Writing Tests, Essay Tests, Essays
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Chrabaszcz, Anna; Onischik, Elena; Dragoy, Olga – Second Language Research, 2022
This study examines the role of cross-linguistic transfer versus general processing strategy in two groups of heritage speakers (n = 28 per group) with the same heritage language -- Russian -- and typologically different dominant languages: English and Estonian. A group of homeland Russian speakers (n = 36) is tested to provide baseline…
Descriptors: Sentences, Language Processing, Finno Ugric Languages, Transfer of Training
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Jiao, Yishan; LaCross, Amy; Berisha, Visar; Liss, Julie – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Subjective speech intelligibility assessment is often preferred over more objective approaches that rely on transcript scoring. This is, in part, because of the intensive manual labor associated with extracting objective metrics from transcribed speech. In this study, we propose an automated approach for scoring transcripts that provides…
Descriptors: Suprasegmentals, Phonemes, Error Patterns, Scoring
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Vakili, Shokoufeh; Ebadi, Saman – Computer Assisted Language Learning, 2022
Theoretically grounded in Vygotsky's sociocultural theory of mind, Dynamic Assessment (DA) provides researchers with the opportunity to investigate different aspects of learners' developmental trajectory, including the ways they overcome their errors. As a qualitative inquiry into the nature of errors reflecting learners' development in academic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Testing
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Ha, Minsu; Nehm, Ross H. – Journal of Science Education and Technology, 2016
Automated computerized scoring systems (ACSSs) are being increasingly used to analyze text in many educational settings. Nevertheless, the impact of misspelled words (MSW) on scoring accuracy remains to be investigated in many domains, particularly jargon-rich disciplines such as the life sciences. Empirical studies confirm that MSW are a…
Descriptors: Spelling, Case Studies, Computer Uses in Education, Test Scoring Machines
Krug, Clara – 1981
Based on the premise that teaching basic writing involves first understanding what tends to go wrong when students write, a computer assisted system of error prediction and analysis was designed to improve college students' writing skills in both English and French. Students were to complete a sequenced series of writing assignments first in…
Descriptors: College Students, Computer Assisted Testing, English, Error Analysis (Language)
Amberg, Julie S. – 1984
The results of a study assessing the grammatical instruction needs of developmental English students and students of advanced English as a second language (ESL) at the University of Louisiana are reported. Faculty hypothesized that developmental English and freshman ESL students made many similar grammatical errors, and to test this hypothesis, a…
Descriptors: College Students, Comparative Analysis, Computer Assisted Testing, English Instruction