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Peer reviewedToby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models
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Direct linkOttley, Jennifer Riggie; Ferron, John M.; Hanline, Mary Frances – Grantee Submission, 2016
The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…
Descriptors: Communication (Thought Transfer), Hierarchical Linear Modeling, Research Design, Predictor Variables
Newman, Lynn A.; Marschark, Marc; Shaver, Debra M.; Javitz, Harold – Grantee Submission, 2016
Data from the National Longitudinal Transition Study-2 were used to examine the effect of academic and career or technical education course taking in high school on deaf or hard of hearing (DHH) youth's postsecondary enrollment in 2-year, 4-year, and career or technical education (CTE) institutions. The analyses included a nationally…
Descriptors: Deafness, Hearing Impairments, College Students, Enrollment
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
Roscoe, Rod D.; Snow, Erica L.; Brandon, Russell D.; McNamara, Danielle S. – Grantee Submission, 2013
The ability of educational games to promote students' engagement in learning and practice depends on perceived enjoyment of those games. This study investigated high school students' perceptions and enjoyment of games within the Writing Pal intelligent tutoring system. In accord with research on motivation, results showed that perceived…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Intelligent Tutoring Systems
Reeves, Todd D.; Pedulla, Joseph J. – Grantee Submission, 2013
Online professional development (OPD) for teachers is an increasingly popular and viable alternative to face-to-face professional development. While OPD can be effective, little is known about OPD's design and implementation features that maximize its impact. Using data from a large-scale OPD initiative, this correlational study (N = 1231)…
Descriptors: Electronic Learning, Faculty Development, Program Effectiveness, Elementary School Teachers
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
