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Malacapay, Marjon C. – International Journal of Instruction, 2019
Differentiating of instruction is salient as learners absorb information at their own styles. Differentiating of instruction is salient as learners absorb information at their own styles. Thus, determining their preferred mode of instruction as to their learning style is important. In attaining this, the researcher first determined the…
Descriptors: Individualized Instruction, Correlation, Cognitive Style, Teaching Methods
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Özçakir, Bilal; Özdemir, Duygu; Kiymaz, Yasemin – International Journal of Contemporary Educational Research, 2020
Gifted students have potential to improve countries and this potential can be revealed and developed in schools where they spend most of their times with other regular students. However, these classrooms have some limitations for them; hence, they need some differentiated activities. Usage of dynamic geometry in mathematics lessons could be an…
Descriptors: Geometry, Mathematics Instruction, Gifted, Teaching Methods
Torres, D. Diego – Houston Independent School District, 2019
Despite its promise to help teachers meet the needs of diverse learners, district usage of Achieve3000® among most students with access to it remains far below the optimal level necessary for them to realize literacy growth and college and career readiness. Only a tiny minority of students (402 out of about 111,000) seem to be engaging Achieve3000…
Descriptors: Pretests Posttests, Individualized Instruction, Middle School Students, High School Students
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Goddard, Yvonne; Goddard, Roger; Kim, Minjung – American Journal of Education, 2015
The purpose of this article is to investigate the relationship between school instructional climate and students' fifth-grade mathematics and reading achievement, with a particular emphasis on norms for practice consistent with differentiated instruction. Using data from a stratified random sample of Michigan elementary schools, we employed…
Descriptors: Educational Environment, Academic Achievement, Grade 5, Elementary School Students
Torres, D. Diego – Houston Independent School District, 2018
Achieve3000®, a web-based differentiated reading program based on the Lexile® Framework and designed to improve student reading ability and comprehension of increasingly complex texts, was made available to approximately 100,000 secondary students across 98 HISD schools during the 2017-2018 academic year. The present evaluation, using a select…
Descriptors: Reading Achievement, Reading Programs, Reading Instruction, Middle School Students
Shaunessy-Dedrick, Elizabeth; Evans, Linda; Ferron, John; Lindo, Myriam – Gifted Child Quarterly, 2015
In this investigation, we examined the effects of a differentiated reading approach on fourth grade students' reading comprehension and attitudes toward reading. Eight Title I schools within one urban district were randomly assigned to treatment (Schoolwide Enrichment Model-Reading [SEM-R]) or control (district reading curriculum) conditions.…
Descriptors: Reading Comprehension, Elementary School Students, Reading Attitudes, Investigations
Braggs, Lydia M. – ProQuest LLC, 2012
Across the United States, K-12 schools are challenged by rapid growth in the percentage of students of color, culturally and linguistically diverse students, and students from low-income families. A failing practice in the educational system has been to teach these diverse students as if they were the same. This quantitative study examined the…
Descriptors: Faculty Development, Academic Achievement, Correlation, Teacher Attitudes
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