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No Child Left Behind Act 20011
Showing 241 to 255 of 510 results Save | Export
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Mossman, Douglas; Wygant, Dustin B.; Gervais, Roger O. – Psychological Assessment, 2012
Psychologists frequently use symptom validity tests (SVTs) to help determine whether evaluees' test performance or reported symptoms accurately represent their true functioning and capability. Most studies evaluating the accuracy of SVTs have used either known-group comparisons or simulation designs, but these approaches have well-known…
Descriptors: Accuracy, Classification, Validity, Psychological Testing
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Brainerd, C. J.; Aydin, C.; Reyna, V. F. – Journal of Memory and Language, 2012
We investigated the development of dual-retrieval processes with a low-burden paradigm that is suitable for research with children and neurocognitively impaired populations (e.g., older adults with mild cognitive impairment or dementia). Rich quantitative information can be obtained about recollection, reconstruction, and familiarity judgment by…
Descriptors: Dementia, Familiarity, Early Adolescents, Young Children
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Enkin, Elizabeth – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2016
The maze task is a psycholinguistic experimental procedure that measures real-time incremental sentence processing. The task has recently been tested as a language learning tool with promising results. Therefore, the present study examines the merits of a contextualized version of this task: the story maze. The findings are consistent with…
Descriptors: Task Analysis, Psycholinguistics, English, Spanish
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Kowalski, John; Zhang, Yanhui; Gordon, Geoffrey J. – Journal of Educational Data Mining, 2014
The Pinyin Tutor has been used the past few years at over thirty institutions around the world to teach students to transcribe spoken Chinese phrases into Pinyin. Large amounts of data have been collected from this program on the types of errors students make on this task. We analyze these data to discover what makes this task difficult and use…
Descriptors: Intelligent Tutoring Systems, Chinese, Verbal Communication, Statistical Analysis
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Humenberger, Hans – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2011
When one uses Google (and many people do this!), the result of the query is a list of sites that have something to do with the item one is looking for. The specific sites are always more or less on the top, so it is not necessary to have a look on hundreds of sites to read something relevant and informative. How can Google manage this? How does…
Descriptors: Search Engines, Mathematics Instruction, Probability, Algebra
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Xie, Qin – Educational Psychology, 2017
The study utilised a fine-grained diagnostic checklist to assess first-year undergraduates in Hong Kong and evaluated its validity and usefulness for diagnosing academic writing in English. Ten English language instructors marked 472 academic essays with the checklist. They also agreed on a Q-matrix, which specified the relationships among the…
Descriptors: Academic Discourse, College Students, College English, Foreign Countries
Sawyer, Brook E.; Hammer, Carol Scheffner; Cycyk, Lauren M.; Lopez, Lisa; Blair, Clancy; Sandilos, Lia; Komaroff, Eugene – Grantee Submission, 2016
The purposes of this study were to (a) examine the degree to which teachers used linguistically responsive practices to support the language and literacy development of Spanish-speaking Dual Language Learners (DLL) and (b) to investigate the associations between these practices and select teacher-level factors. The sample consisted of 72 preschool…
Descriptors: Preschool Teachers, Culturally Relevant Education, Educational Practices, Bilingual Students
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Dorça, Fabiano Azevedo; Lima, Luciano Vieira; Fernandes, Márcia Aparecida; Lopes, Carlos Roberto – Informatics in Education, 2012
Considering learning and how to improve students' performances, an adaptive educational system must know how an individual learns best. In this context, this work presents an innovative approach for student modeling through probabilistic learning styles combination. Experiments have shown that our approach is able to automatically detect and…
Descriptors: Cognitive Style, Models, Automation, Probability
Gonzalez-Brenes, Jose P.; Mostow, Jack – International Educational Data Mining Society, 2012
This work describes a unified approach to two problems previously addressed separately in Intelligent Tutoring Systems: (i) Cognitive Modeling, which factorizes problem solving steps into the latent set of skills required to perform them; and (ii) Student Modeling, which infers students' learning by observing student performance. The practical…
Descriptors: Intelligent Tutoring Systems, Academic Achievement, Bayesian Statistics, Tutors
Sudol, Leigh Ann; Rivers, Kelly; Harris, Thomas K. – International Educational Data Mining Society, 2012
In complex problem solving domains, correct solutions are often comprised of a combination of individual components. Students usually go through several attempts, each attempt reflecting an individual solution state that can be observed during practice. Classic metrics to measure student performance over time rely on counting the number of…
Descriptors: Problem Solving, Tutors, Feedback (Response), Probability
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Martin, Jay B.; Griffiths, Thomas L.; Sanborn, Adam N. – Cognitive Science, 2012
Exploring how people represent natural categories is a key step toward developing a better understanding of how people learn, form memories, and make decisions. Much research on categorization has focused on artificial categories that are created in the laboratory, since studying natural categories defined on high-dimensional stimuli such as…
Descriptors: Markov Processes, Monte Carlo Methods, Correlation, Efficiency
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Hlavatý, Robert; Dömeová, Ludmila – International Education Studies, 2014
The paper is focused on students of Mathematical methods in economics at the Czech university of life sciences (CULS) in Prague. The idea is to create a model of students' progress throughout the whole course using the Markov chain approach. Each student has to go through various stages of the course requirements where his success depends on the…
Descriptors: Foreign Countries, Markov Processes, Mathematical Models, Progress Monitoring
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Johnson, Timothy R. – Applied Psychological Measurement, 2013
One of the distinctions between classical test theory and item response theory is that the former focuses on sum scores and their relationship to true scores, whereas the latter concerns item responses and their relationship to latent scores. Although item response theory is often viewed as the richer of the two theories, sum scores are still…
Descriptors: Item Response Theory, Scores, Computation, Bayesian Statistics
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Sawyer, Brook E.; Hammer, Carol Scheffner; Cycyk, Lauren M.; López, Lisa; Blair, Clancy; Sandilos, Lia; Komaroff, Eugene – Bilingual Research Journal, 2016
The purposes of this study were to (a) examine the degree to which teachers used linguistically responsive practices to support the language and literacy development of Spanish-speaking Dual Language Learners (DLL) and (b) to investigate the associations between these practices and select teacher-level factors. The sample consisted of 72 preschool…
Descriptors: Preschool Teachers, Culturally Relevant Education, Educational Practices, Bilingual Students
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Rusconi, Patrice; Marelli, Marco; D'Addario, Marco; Russo, Selena; Cherubini, Paolo – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Evidence evaluation is a crucial process in many human activities, spanning from medical diagnosis to impression formation. The present experiments investigated which, if any, normative model best conforms to people's intuition about the value of the obtained evidence. Psychologists, epistemologists, and philosophers of science have proposed…
Descriptors: Experimental Psychology, Models, Intuition, Evidence
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