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Lorimor, Heidi; Stephens-Hecker, Nola; Miller, Carol – Language Learning and Development, 2019
Using an oral sentence production task, we investigated how preschoolers (N = 28) produce agreement with complex noun phrases and compared their performance to college students (N = 32) to determine whether preschoolers produce agreement patterns that are qualitatively similar to adults'. We also conducted corpus analyses to investigate relevant…
Descriptors: Preschool Children, Nouns, Phrase Structure, College Students
Tsubaki, Michiko; Ogawara, Wataru; Tanaka, Kenta – International Electronic Journal of Mathematics Education, 2020
This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners' comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed…
Descriptors: Probability, Statistics, Comprehension, Learning Strategies
Zamora, Ángela; Súarez, José Manuel; Ardura, Diego – Journal of Educational Research, 2018
The authors' aim was to determine the extent to which error detection contributes to the explanation of a cognitive and motivational model of student performance in an assessment test. A total of 151 science students of secondary education participated in the investigation. Two causal models were developed using a structural equation analysis.…
Descriptors: Foreign Countries, Secondary School Students, Private Schools, Error Patterns
Bao, Xiaoli – English Language Teaching, 2015
Relative clause is one of the most important language points in College English Examination. Teachers have been attaching great importance to the teaching of relative clause, but the outcomes are not satisfactory. Based on Error Analysis theory, this article aims to explore the reasons why senior high school students find it difficult to choose…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Error Patterns

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