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Kenneth Gloeckner – ProQuest LLC, 2021
Adjunct faculty have become the new majority faculty on campuses across the country. There are two theories why adjunct faculty are so relied upon: cost or contingency. Some institutions may employ adjunct faculty for cost-savings reasons. In contrast, other institutions may depend on the contingent, temporary nature of the employment contracts to…
Descriptors: Adjunct Faculty, Employment Practices, Cost Effectiveness, Contingency Management
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Fouh, Eric; Farghally, Mohammed; Hamouda, Sally; Koh, Kyu Han; Shaffer, Clifford A. – International Educational Data Mining Society, 2016
We present an analysis of log data from a semester's use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time…
Descriptors: Item Response Theory, Data Analysis, Mathematics, Intelligent Tutoring Systems
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Petscher, Yaacov; Quinn, Jamie M.; Wagner, Richard K. – Developmental Psychology, 2016
Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…
Descriptors: Individual Development, Correlation, Longitudinal Studies, Oral Reading
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Rutledge, Stacey A.; Cohen-Vogel, Lora; Osborne-Lampkin, La'Tara; Roberts, Ronnie L. – American Educational Research Journal, 2015
This article presents findings from a year-long multilevel comparative case study exploring the characteristics of effective urban high schools. We developed a comprehensive framework from the school effectiveness research that guided our data collection and analysis at the four high schools. Using value-added methodology, we identified two higher…
Descriptors: High Schools, School Effectiveness, Institutional Characteristics, Urban Schools
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Hallberg, Kelly; Cook, Thomas D.; Figlio, David – Society for Research on Educational Effectiveness, 2013
The goal of this paper is to provide guidance for applied education researchers in using multi-level data to study the effects of interventions implemented at the school level. Two primary approaches are currently employed in observational studies of the effect of school-level interventions. One approach employs intact school matching: matching…
Descriptors: Matched Groups, Intervention, Randomized Controlled Trials, Elementary Schools
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Folsom, Jessica Sidler; Osborne-Lampkin, La'Tara; Herrington, Carolyn D. – Regional Educational Laboratory Southeast, 2014
This document is a companion guide to "A Descriptive Analysis of the Principal Workforce in Florida Schools" (Folsom, Osborne-Lampkin, & Herrington, in press). It describes the methods used to extract information from the Florida Department of Education database in order to conduct a descriptive analysis of the demographic…
Descriptors: Data, Principals, Demography, Administrator Characteristics
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
Sykes, Andrea R.; Szuplat, Mary A.; Decker, Cynthia G. – Office of Career, Technical, and Adult Education, US Department of Education, 2014
Federal policymakers have interest in three specific areas of postsecondary career and technical education (CTE): associate degrees and certificates awarded in CTE, skills and training obtained through noncredit courses, and industry-recognized certifications. Research and data are readily available on students earning degrees and certificates in…
Descriptors: Educational Certificates, Vocational Education, Noncredit Courses, Outcomes of Education
Hansen, Michael – Society for Research on Educational Effectiveness, 2012
Teachers are generally recognized as the schooling factor accounting for the highest proportion of student learning outcomes (Aaronson et al., 2007; Hanushek, 1986). This implies the quick and dramatic improvement in school performance observed in turnaround (TA) schools was associated with a major change in the performance of its teachers. This…
Descriptors: Human Resources, Human Capital, Standardized Tests, Longitudinal Studies
Herman, Rebecca; Huberman, Mette – Society for Research on Educational Effectiveness, 2012
The TALPS study aims to build on the existing research base to develop promising methodologies to identify chronically low-performing and turnaround schools, as well as to identify promising strategies for turning around chronically low-performing schools. By looking specifically at schools identified as turnaround, in comparison to nonturnaround…
Descriptors: Policy Analysis, Educational Practices, Instructional Leadership, Accountability
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Glen, Nicole J.; Smetana, Lara K. – Science and Children, 2010
"If someone were traveling to our area for the first time during this time of year, what would you tell them to bring to wear? Why?" This question was used to engage students in a guided-inquiry unit about how climate differs from weather. In this lesson, students explored local and national data sets to give "travelers" advice…
Descriptors: Scientific Research, Investigations, Scientific Principles, Data Analysis
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Farazmand, Farideh A.; Green, Robert D. – Journal of Case Studies in Accreditation and Assessment, 2012
In response to the current challenges to undergraduate business education, this study examines seniors, and sophomores and juniors active, or applied learning outcomes (knowledge, skills, personal development). The sample includes 143 students (51 seniors and 92 sophomores and juniors) who participated in applied course projects. The data analysis…
Descriptors: College Seniors, College Freshmen, Achievement Gap, Achievement Gains
Sass, Tim R. – National Center on Scaling Up Effective Schools (NJ1), 2012
The core work of the National Center on Scaling Up Effective Schools consists of four stages: identifying practices of highly effective high schools, designing interventions and transfer of practices, evaluating the intervention's implementation and effects, and evaluating implementation at scale. The purpose of this report is to describe the…
Descriptors: Intervention, Educational Change, High Schools, Research Methodology
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Dobson, John L. – Advances in Physiology Education, 2009
The Virtual Physiology of Exercise Laboratory (VPEL) program was created to simulate the test design, data collection, and analysis phases of selected exercise physiology laboratories. The VPEL program consists of four modules: (1) cardiovascular, (2) maximal O[subscript 2] consumption [Vo[subscript 2max], (3) lactate and ventilatory thresholds,…
Descriptors: Exercise Physiology, Laboratories, Instructional Effectiveness, Simulation
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