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Kida, Shusaku – Second Language Research, 2022
The type of processing-resource allocation (TOPRA) model predicts that the semantic processing of new second language (L2) words can impede the learning of their forms while structural processing can promote it. Using this framework, the present study examined the effects of processing type (semantic, structural, control), exposure frequency (one…
Descriptors: Second Language Learning, Vocabulary Development, Reading Processes, Word Frequency
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Dhanapala, Kusumi Vasantha; Yamada, Jun – Reading Matrix: An International Online Journal, 2015
This study aims to understand how EFL learners in different reading proficiency levels comprehend L2 texts, using five-component skills involving measures of (1) vocabulary knowledge, (2) drawing inferences and predictions, (3) knowledge of text structure and discourse organization, (4) identifying the main idea and summarizing skills, and (5)…
Descriptors: Reading Processes, English (Second Language), Second Language Learning, Inferences
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Svetina, Dubravka; Gorin, Joanna S.; Tatsuoka, Kikumi K. – International Journal of Testing, 2011
As a construct definition, the current study develops a cognitive model describing the knowledge, skills, and abilities measured by critical reading test items on a high-stakes assessment used for selection decisions in the United States. Additionally, in order to establish generalizability of the construct meaning to other similarly structured…
Descriptors: Reading Tests, Reading Comprehension, Critical Reading, Test Items
Kotani, Katsunori; Yoshimi, Takehiko; Isahara, Hitoshi – Online Submission, 2010
In textbooks, foreign (second) language reading proficiency is often evaluated through comprehension questions. In case, authentic texts are used as reading material, such questions should be prepared by teachers. However, preparing appropriate questions may be a very demanding task for teachers. This paper introduces a method for automatically…
Descriptors: Foreign Countries, Reading Comprehension, Reading Materials, Predictive Measurement