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Navidinia, Hossein; Beidokhti, Zeinab; Hekmati, Nargess – Asia-Pacific Education Researcher, 2017
This study aims to investigate the predictive power of personality traits for EFL students' preference for isolated or integrated form-focused instruction (FFI). Participants were 160 Iranian EFL university students. Results indicated that students' personality traits, as measured by Costa and McCrae (Revised NEO Personality inventory (NEO-PI-R)…
Descriptors: English Language Learners, English (Second Language), Second Language Instruction, College Students
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Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
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Aryadoust, Vahid; Baghaei, Purya – Educational Assessment, 2016
This study aims to examine the relationship between reading comprehension and lexical and grammatical knowledge among English as a foreign language students by using an Artificial Neural Network (ANN). There were 825 test takers administered both a second-language reading test and a set of psychometrically validated grammar and vocabulary tests.…
Descriptors: English (Second Language), Reading Comprehension, Lexicology, Grammar
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Kelly, Wei Qiang; Klein, James D. – Journal of Educational Technology Systems, 2016
This study examined the effect of type of podcasts and learning styles on speaking, listening, and confidence when college used podcasts for learning Chinese. It focused on college students enrolled in a beginning-level Chinese course at a large university in the southeastern United States. Findings indicated that listening to grammar podcasts…
Descriptors: Handheld Devices, Audio Equipment, Information Dissemination, Cognitive Style