895 resultados para hidden curriculum


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Students who are deaf or hard of hearing have typically had difficulty in mathematics; however, this problem often is overlooked because of difficulties in language and reading abilities. This study aims to identify the most appropriate mathematics curriculum for deaf or hard of hearing students in an oral deaf education program.

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S.P.I.R.E., at use at Central Institute for the Deaf, is a comprehensive, multi-sensory systematic reading and language program that targets at risk and struggling students. The purpose of this project was to write additional stories and sentences for students who are hearing impaired through reader 2 that may be used in conjunction with the exiting stories and supplements.

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This study evaluates the progress of children with cochlear implants on the Speech Perception Instructional Curriculum and Evaluation (SPICE) auditory training protocol.

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This paper reviews a curriculum for sex education that is geared towards hearing impaired adolescents.

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This paper provides curriculum on noise, ears, hearing and deafness for elementary school children.

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This paper presents four teaching curriculum units for primary level students based on Simple and Complex TAGS (Teacher Assessment of Grammatical Structures), teaching vocabulary and language structure.

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A look at the prevalence of idiom usage in the mainstream classroom, and the students' who are deaf/hard of hearing acquisition of idiom comprehension and usage. A complete teacher’s guide, including lesson plans and materials, and a list of idiom teaching resources for teachers of the deaf and mainstream teachers.

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The purpose of this study was to develop a theme based creative movement curriculum that would help hearing-impaired students develop language, speech and audition skills.

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This paper presents a basic math curriculum for preschool hearing impaired children, including lesson plans and activities.

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In this paper we consider the estimation of population size from onesource capture–recapture data, that is, a list in which individuals can potentially be found repeatedly and where the question is how many individuals are missed by the list. As a typical example, we provide data from a drug user study in Bangkok from 2001 where the list consists of drug users who repeatedly contact treatment institutions. Drug users with 1, 2, 3, . . . contacts occur, but drug users with zero contacts are not present, requiring the size of this group to be estimated. Statistically, these data can be considered as stemming from a zero-truncated count distribution.We revisit an estimator for the population size suggested by Zelterman that is known to be robust under potential unobserved heterogeneity. We demonstrate that the Zelterman estimator can be viewed as a maximum likelihood estimator for a locally truncated Poisson likelihood which is equivalent to a binomial likelihood. This result allows the extension of the Zelterman estimator by means of logistic regression to include observed heterogeneity in the form of covariates. We also review an estimator proposed by Chao and explain why we are not able to obtain similar results for this estimator. The Zelterman estimator is applied in two case studies, the first a drug user study from Bangkok, the second an illegal immigrant study in the Netherlands. Our results suggest the new estimator should be used, in particular, if substantial unobserved heterogeneity is present.

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None of the current surveillance streams monitoring the presence of scrapie in Great Britain provide a comprehensive and unbiased estimate of the prevalence of the disease at the holding level. Previous work to estimate the under-ascertainment adjusted prevalence of scrapie in Great Britain applied multiple-list capture–recapture methods. The enforcement of new control measures on scrapie-affected holdings in 2004 has stopped the overlapping between surveillance sources and, hence, the application of multiple-list capture–recapture models. Alternative methods, still under the capture–recapture methodology, relying on repeated entries in one single list have been suggested in these situations. In this article, we apply one-list capture–recapture approaches to data held on the Scrapie Notifications Database to estimate the undetected population of scrapie-affected holdings with clinical disease in Great Britain for the years 2002, 2003, and 2004. For doing so, we develop a new diagnostic tool for indication of heterogeneity as well as a new understanding of the Zelterman and Chao’s lower bound estimators to account for potential unobserved heterogeneity. We demonstrate that the Zelterman estimator can be viewed as a maximum likelihood estimator for a special, locally truncated Poisson likelihood equivalent to a binomial likelihood. This understanding allows the extension of the Zelterman approach by means of logistic regression to include observed heterogeneity in the form of covariates—in case studied here, the holding size and country of origin. Our results confirm the presence of substantial unobserved heterogeneity supporting the application of our two estimators. The total scrapie-affected holding population in Great Britain is around 300 holdings per year. None of the covariates appear to inform the model significantly.