Status of the Resource Room Model in Local Education Agencies: A Descriptive Study

Although resource room programs are widely used, only limited information is available on implementation of this model. The purpose of the present investigation was to survey a nationwide sample of local education agencies (LEAs) to determine the status of this model at the local level and to identify the characteristics of resource programs as they are currently implemented. A questionnaire was sent to a 5% stratified random sample of LEAs with a 53.4% response rate. Results indicated that most local education agencies use resource room programs, and have done so for at least three years. Most programs are multicategorical. The majority of respondents indicated that they believed the programs were effective, and that they would continue to be used. A major conclusion from this study relates to the need for descriptions of model resource room programs and practices.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations

Abstract. This paper proposes an account of the acquisition of grammatical relations using the basic concepts of connectionism and a construction-based theory of grammar. Many previous accounts of first-language acquisition assume that grammatical relations (e.g., the grammatical subject and object of a sentence) and linking rules are universal and innate; this is necessary to provide a first set of assumptions in the target language to allow deductive processes to test hypotheses and/or set parameters. In contrast to this approach, we propose that grammatical relations emerge rather late in the language-learning process. Our theoretical proposal is based on two observations. First, early production of childhood speech is formulaic and becomes systematic in a progressive fashion. Second, grammatical relations themselves are family-resemblance categories that cannot be described by a single parameter. This leads to the notion that grammatical relations are learned in a bottom up fashion. Combining this theoretical position with the notion that the main purpose of language is communication, we demonstrate the emergence of the notion of “subject ” in a simple recurrent network that learns to map from sentences to semantic roles. We analyze the hidden layer representations of the emergent subject, and demonstrate that these representations correspond to a radially–structured category. We also claim that the pattern of generalization and undergeneralization demonstrated by the network conforms to what we expect from the data on children’s generalizations.