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Shin, Jinnie; Gierl, Mark J. – International Journal of Testing, 2022
Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using…
Descriptors: Reading Comprehension, Test Construction, Test Items, Natural Language Processing
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Sinclair, Jeanne; Jang, Eunice Eunhee; Rudzicz, Frank – Journal of Educational Psychology, 2021
Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…
Descriptors: Prediction, Reading Comprehension, Natural Language Processing, Speech Communication
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Zehner, Fabian; Goldhammer, Frank; Sälzer, Christine – Large-scale Assessments in Education, 2018
Background: The gender gap in reading literacy is repeatedly found in large-scale assessments. This study compared girls' and boys' text responses in a reading test applying natural language processing. For this, a theoretical framework was compiled that allows mapping of response features to the preceding cognitive components such as micro- and…
Descriptors: Reading Comprehension, Gender Differences, Reader Response, Reader Text Relationship
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Yu, Xiaoli – International Journal of Language Testing, 2021
This study examined the development of text complexity for the past 25 years of reading comprehension passages in the National Matriculation English Test (NMET) in China. Text complexity of 206 reading passages at lexical, syntactic, and discourse levels has been measured longitudinally and compared across the years. The natural language…
Descriptors: Reading Comprehension, Reading Tests, Difficulty Level, Natural Language Processing
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Zehner, Fabian; Goldhammer, Frank; Lubaway, Emily; Sälzer, Christine – Education Inquiry, 2019
In 2015, the "Programme for International Student Assessment" (PISA) introduced multiple changes in its study design, the most extensive being the transition from paper- to computer-based assessment. We investigated the differences between German students' text responses to eight reading items from the paper-based study in 2012 to text…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Olney, Andrew M.; Pavlik, Philip I., Jr.; Maass, Jaclyn K. – Grantee Submission, 2017
This study investigated the effect of cloze item practice on reading comprehension, where cloze items were either created by humans, by machine using natural language processing techniques, or randomly. Participants from Amazon Mechanical Turk (N = 302) took a pre-test, read a text, and took part in one of five conditions, Do-Nothing, Re-Read,…
Descriptors: Reading Improvement, Reading Comprehension, Prior Learning, Cloze Procedure
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Biemiller, Andrew; Rosenstein, Mark; Sparks, Randall; Landauer, Thomas K.; Foltz, Peter W. – Scientific Studies of Reading, 2014
Determining word meanings that ought to be taught or introduced is important for educators. A sequence for vocabulary growth can be inferred from many sources, including testing children's knowledge of word meanings at various ages, predicting from print frequency, or adult-recalled Age of Acquisition. A new approach, Word Maturity, is based on…
Descriptors: Foreign Countries, Vocabulary Development, Natural Language Processing, Word Frequency