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Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
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Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
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Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
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Seixas, T. M.; da Silva, M. A. Salgueiro – Physics Teacher, 2015
When conducting experiments involving the measurement of physically related quantities, choosing an appropriate spacing for the experimental independent variable is a crucial procedure whose consequences may go beyond data graphical visualization. This is particularly true if the measured quantities are nonlinearly related and experimental errors…
Descriptors: Measurement, Data, Error of Measurement, Intervals
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Fumero, Keisey; Tibi, Sana – Language, Speech, and Hearing Services in Schools, 2020
Purpose: This clinical focus article will highlight the importance and role of morphological awareness (MA) across orthographies, in particular, the role it plays in reading development, specifically with bilingual populations. MA supports reading acquisition and development beyond other predictors of reading, such as phonological awareness,…
Descriptors: Morphology (Languages), Metalinguistics, Intervention, Bilingualism
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Cummings, Kelli D.; Smolkowski, Keith – Assessment for Effective Intervention, 2015
This paper aims to translate for practitioners the principles and methods for evaluating screening measures in education, including benchmark goals and cut points, from our technical manuscript "Evaluation of Diagnostic Systems: The Selection of Students at Risk of Academic Difficulties" (this issue). We offer a brief description of…
Descriptors: Identification, At Risk Students, Learning Disabilities, Student Characteristics
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Stuit, David; Lindsay, Jim; Loney, Emily – Regional Educational Laboratory Midwest, 2016
This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…
Descriptors: Dropout Prevention, Academic Failure, Graduation, Accuracy
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
This study examines whether scores from an interim reading assessment in grade 9, the Florida Assessments for Instruction in Reading--Florida Standards, can be used to identify students who may score below the college readiness benchmark on the Preliminary SAT/National Merit Scholarship Qualifying Test and ACT Plan in grade 10. Using scores on an…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness
National Center on Response to Intervention, 2013
A valid screening system requires a screener that accurately predicts whether or not students are at risk given their current performance. To understand a screening measure's accuracy, predicted student performance data (i.e., screening data) must be compared with actual performance data. When these sets of data are compared in a setting where…
Descriptors: Screening Tests, Classification, Accuracy, Response to Intervention
Markle, Ross; Robbins, Steve – Educational Testing Service, 2013
As some colleges and universities experience low rates of student success, many point to the large number of students who are placed into and fail to complete developmental education courses. Research examining the efficacy of course placement tests has suggested that success rates would increase if students were placed more accurately. A recent…
Descriptors: Holistic Approach, Student Placement, Decision Making, High School Students
Haberman, Shelby J. – Educational Testing Service, 2011
Alternative approaches are discussed for use of e-rater[R] to score the TOEFL iBT[R] Writing test. These approaches involve alternate criteria. In the 1st approach, the predicted variable is the expected rater score of the examinee's 2 essays. In the 2nd approach, the predicted variable is the expected rater score of 2 essay responses by the…
Descriptors: Writing Tests, Scoring, Essays, Language Tests