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Dazzeo, Robin; Rao, Kavita – TEACHING Exceptional Children, 2020
Although the instructional strategy described in this article can be used to support all learners, the purpose of this article is to address the needs of students with learning disabilities, who are often several grade levels behind in reading comprehension. Specifically, this article explores how an explicitly taught instructional practice that…
Descriptors: Students with Disabilities, Learning Disabilities, Reading Comprehension, Reading Difficulties
Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
Partnership for Assessment of Readiness for College and Careers, 2014
As part of its proposal to the U.S. Department of Education, the Partnership for Assessment of Readiness for College and Careers (PARCC) committed to developing Kindergarten through Grade 2 Model Content Frameworks for English language arts (ELA)/literacy (K-2 Model Content Frameworks) to serve as a bridge between the Common Core State Standards…
Descriptors: Common Core State Standards, Primary Education, English Instruction, Language Arts
Peer reviewedChampney, Linda Lucas – Journal of Reading, 1989
Describes a method of assessing students' actual reading processes, allowing teachers to suggest and model strategies for overcoming reading problems. Reports that the model works well with remedial readers in an individual setting and could be applied, with modifications, to a group of students. (RS)
Descriptors: Individualized Instruction, Intervention, Junior High Schools, Models
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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