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Showing 1 to 15 of 17 results Save | Export
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Qian, Leyi; Zhao, Yali; Cheng, Yan – Journal of Educational Computing Research, 2020
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners' writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our…
Descriptors: Foreign Countries, Automation, Scoring, Writing (Composition)
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Chan, Sathena; May, Lyn – Language Testing, 2023
Despite the increased use of integrated tasks in high-stakes academic writing assessment, research on rating criteria which reflect the unique construct of integrated summary writing skills is comparatively rare. Using a mixed-method approach of expert judgement, text analysis, and statistical analysis, this study examines writing features that…
Descriptors: Scoring, Writing Evaluation, Reading Tests, Listening Skills
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Monteiro, Kátia R.; Crossley, Scott A.; Kyle, Kristopher – Applied Linguistics, 2020
Lexical items that are encountered more frequently and in varying contexts have important effects on second language (L2) development because frequent and contextually diverse words are learned faster and become more entrenched in a learner's lexicon (Ellis 2002a, b). Despite evidence that L2 learners are generally exposed to non-native input,…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Benchmarking
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Rupp, André A.; Casabianca, Jodi M.; Krüger, Maleika; Keller, Stefan; Köller, Olaf – ETS Research Report Series, 2019
In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…
Descriptors: Automation, Foreign Countries, English (Second Language), Language Tests
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Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
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Ahmadi Shirazi, Masoumeh – SAGE Open, 2019
Threats to construct validity should be reduced to a minimum. If true, sources of bias, namely raters, items, tests as well as gender, age, race, language background, culture, and socio-economic status need to be spotted and removed. This study investigates raters' experience, language background, and the choice of essay prompt as potential…
Descriptors: Foreign Countries, Language Tests, Test Bias, Essay Tests
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Attali, Yigal; Sinharay, Sandip – ETS Research Report Series, 2015
The "e-rater"® automated essay scoring system is used operationally in the scoring of "TOEFL iBT"® independent and integrated tasks. In this study we explored the psychometric added value of reporting four trait scores for each of these two tasks, beyond the total e-rater score.The four trait scores are word choice, grammatical…
Descriptors: Writing Tests, Scores, Language Tests, English (Second Language)
Crossley, Scott A.; Kyle, Kristopher; Allen, Laura K.; Guo, Liang; McNamara, Danielle S. – Grantee Submission, 2014
This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…
Descriptors: Computational Linguistics, Essays, Scoring, Writing Evaluation
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Kalali, Nazanin Naderi; Pishkar, Kian – Advances in Language and Literary Studies, 2015
The main thrust of this study was to determine whether a genre-based instruction improve the writing proficiency of Iranian EFL learners. To this end, 30 homogenous Iranian BA learners studying English at Islamic Azad University, Bandar Abbas Branch were selected as the participants of the study through a version of TOEFL test as the proficiency…
Descriptors: Foreign Countries, Undergraduate Students, Second Language Learning, English (Second Language)
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Weigle, Sara Cushing – Assessing Writing, 2013
This article presents considerations for using automated scoring systems to evaluate second language writing. A distinction is made between English language learners in English-medium educational systems and those studying English in their own countries for a variety of purposes, and between learning-to-write and writing-to-learn in a second…
Descriptors: Scoring, Second Language Learning, Second Languages, English Language Learners
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Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M.; Davey, Tim; Bridgeman, Brent – ETS Research Report Series, 2012
Scoring models for the "e-rater"® system were built and evaluated for the "TOEFL"® exam's independent and integrated writing prompts. Prompt-specific and generic scoring models were built, and evaluation statistics, such as weighted kappas, Pearson correlations, standardized differences in mean scores, and correlations with…
Descriptors: Scoring, Prompting, Evaluators, Computer Software
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Lee, Yong-Won; Gentile, Claudia; Kantor, Robert – Applied Linguistics, 2010
The main purpose of the study was to investigate the distinctness and reliability of analytic (or multi-trait) rating dimensions and their relationships to holistic scores and "e-rater"[R] essay feature variables in the context of the TOEFL[R] computer-based test (TOEFL CBT) writing assessment. Data analyzed in the study were holistic…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Essays
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Weigle, Sara Cushing – ETS Research Report Series, 2011
Automated scoring has the potential to dramatically reduce the time and costs associated with the assessment of complex skills such as writing, but its use must be validated against a variety of criteria for it to be accepted by test users and stakeholders. This study addresses two validity-related issues regarding the use of e-rater® with the…
Descriptors: Scoring, English (Second Language), Second Language Instruction, Automation
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Attali, Yigal; Bridgeman, Brent; Trapani, Catherine – Journal of Technology, Learning, and Assessment, 2010
A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Test Scoring Machines
Golub-Smith, Marna; And Others – 1993
The Test of Written English (TWE), administered with certain designated examinations of the Test of English as a Foreign Language (TOEFL), consists of a single essay prompt to which examinees have 30 minutes to respond. Questions have been raised about the comparability of different TWE prompts. This study was designed to elicit essays for prompts…
Descriptors: Charts, Comparative Analysis, English (Second Language), Essay Tests
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