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Download full textHasan, Md. Kamrul; Rahman, Mohammad Mosiur – MEXTESOL Journal, 2020
An in-depth investigation of analytic relations by lexical researchers plays a prominent role in language learning and teaching. The primary objective of the present study was to investigate the extent to which prediction regarding different aspects of analytic relations impacts reading comprehension. The current research employed a quantitative…
Descriptors: Prediction, Academic Language, Reading Comprehension, Second Language Instruction
Moradi, Sholeh; Ghahari, Shima; Abbas Nejad, Mohammad – Studies in Second Language Learning and Teaching, 2020
Cognitive organizers (COs) are text aids which represent objects, concepts, and their relations by the use of symbols and spatial arrangements without adding to semantic content. The present study examines language learners' text comprehension through outlines, a popular CO, compared with text-only condition, and further investigates the effect of…
Descriptors: Multiple Intelligences, Second Language Learning, Second Language Instruction, English (Second Language)
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
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis
Attali, Yigal – ETS Research Report Series, 2007
This study examined the construct validity of the "e-rater"® automated essay scoring engine as an alternative to human scoring in the context of TOEFL® essay writing. Analyses were based on a sample of students who repeated the TOEFL within a short time period. Two "e-rater" scores were investigated in this study, the first…
Descriptors: Construct Validity, Computer Assisted Testing, Scoring, English (Second Language)
