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Mendelson, Tamar; Sheridan, Steven C.; Clary, Laura K. – Grantee Submission, 2020
Background: Youth of color from low-income urban communities are crucial participants in research, as their involvement can shape effective, culturally responsive interventions and policy to promote youth health and well-being. These young people, however, are an often-neglected research population, due in part to perceived challenges associated…
Descriptors: Low Income Groups, Urban Youth, Minority Group Students, Recruitment
O'Connor, Rollanda E.; Beach, Kristen D.; Sanchez, Victoria; Bocian, Kathleen M.; Flynn, Lindsay – Grantee Submission, 2015
We tested the effects of teaching reading skills through U.S. History content for 38 eighth-grade poor readers whose reading ability ranged from 2nd to 4th grade levels. Half of the students received special education services and half of the students were English Language Learners. Students were taught to decode multisyllabic words, learn…
Descriptors: Achievement Tests, Grade 8, Middle School Students, Reading Difficulties
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Sao Pedro, Michael A.; Gobert, Janice D.; Baker, Ryan S. – Grantee Submission, 2014
We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated…
Descriptors: Automation, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Data Collection
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Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2017
In this chapter, we describe several intelligent tutoring systems (ITSs) designed to support student literacy through reading comprehension and writing instruction and practice. Although adaptive instruction can be a powerful tool in the literacy domain, developing these technologies poses significant challenges. For example, evaluating the…
Descriptors: Intelligent Tutoring Systems, Literacy Education, Educational Technology, Technology Uses in Education
Hedberg, E. C.; Hedges, Larry V. – Grantee Submission, 2014
Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials (CRTs) that assign schools to…
Descriptors: Academic Achievement, Correlation, School Districts, Institutional Characteristics
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Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory
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Estrada, Peggy; Wang, Haiwen – Grantee Submission, 2013
For English learners (ELs), reclassifying to fluent English proficient (RFEP) signifies reaching a milestone indicating the ability to function in mainstream classes without support. Little is known about the discrepancy between the number of ELs who meet reclassification criteria and the number who are reclassified as fluent English proficient,…
Descriptors: English Language Learners, Second Language Learning, Classification, Language Proficiency