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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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Zhanna Hunter; Lisa Mangion; Louise Noell – English Australia Journal, 2024
The multiliteracies framework provides a pedagogical approach relevant to English language direct entry pathway (DEP) programs at university, recognising that education and communication in a multicultural, multimodal, and globalised world involves more than language literacy. Integrated assessments, in which some combination of listening,…
Descriptors: Multiple Literacies, English for Academic Purposes, Second Language Learning, Second Language Instruction
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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
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Bratkovich, Meghan Odsliv – Working Papers in TESOL & Applied Linguistics, 2014
This study investigated the nature of self-assessment and blind peer- and teacher-assessment in L2 writing. The type of feedback students gave to themselves and peers, the type of feedback used in the revision process, and the source of the feedback used were all analyzed. Additionally, student perceptions of self- and peer-assessment, feedback,…
Descriptors: Student Evaluation, Evaluation Methods, Self Evaluation (Individuals), Peer Evaluation
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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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Wang, Jianjun – Educational and Psychological Measurement, 1993
Test misgrading is treated as a stochastic process. The expected number of misgradings, inter-occurrence time of misgradings, and waiting time for the "n"th misgrading are discussed based on a simple Poisson model and a hierarchical Beta-Poisson model. Examples of model construction are given. (SLD)
Descriptors: Equations (Mathematics), Evaluation Methods, Grading, Measurement Techniques
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Zechner, Klaus; Bejar, Isaac I.; Hemat, Ramin – ETS Research Report Series, 2007
The increasing availability and performance of computer-based testing has prompted more research on the automatic assessment of language and speaking proficiency. In this investigation, we evaluated the feasibility of using an off-the-shelf speech-recognition system for scoring speaking prompts from the LanguEdge field test of 2002. We first…
Descriptors: Role, Computer Assisted Testing, Language Proficiency, Oral Language
Bejar, Isaac I. – 1985
The Test of English as a Foreign Language (TOEFL) was used in this study, which attempted to develop a new methodology for assessing the speededness of right-scored tests. Traditional procedures of assessing speededness have assumed that the test is scored under formula-scoring instructions; this approach is not always appropriate. In this study,…
Descriptors: College Entrance Examinations, English (Second Language), Estimation (Mathematics), Evaluation Methods
Carlson, Sybil B.; And Others – 1985
Four writing samples were obtained from 638 foreign college applicants who represented three major foreign language groups (Arabic, Chinese, and Spanish), and from 60 native English speakers. All four were scored holistically, two were also scored for sentence-level and discourse-level skills, and some were scored by the Writer's Workbench…
Descriptors: Arabic, Chinese, College Entrance Examinations, Computer Software