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Download full textRupp, 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
Heidari, Jamshid; Khodabandeh, Farzaneh; Soleimani, Hassan – JALT CALL Journal, 2018
The emergence of computer technology in English language teaching has paved the way for teachers' application of Mobile Assisted Language Learning (mall) and its advantages in teaching. This study aimed to compare the effectiveness of the face to face instruction with Telegram mobile instruction. Based on a toefl test, 60 English foreign language…
Descriptors: Comparative Analysis, Conventional Instruction, Teaching Methods, Computer Assisted Instruction
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)
Direct linkCrossley, 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
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
Lee, Yong-Won; Gentile, Claudia; Kantor, Robert – ETS Research Report Series, 2008
The main purpose of the study was to investigate the distinctness and reliability of analytic (or multitrait) rating dimensions and their relationships to holistic scores and "e-rater"® essay feature variables in the context of the TOEFL® computer-based test (CBT) writing assessment. Data analyzed in the study were analytic and holistic…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Scoring
