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Greene Nolan, Hillary; Vang, Mai Chou – Digital Promise, 2023
Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…
Descriptors: Middle School Students, Grade 7, Grade 8, Predictor Variables
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The FAIR-FS consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 40th percentile) on the reading comprehension subtest of the Stanford Achievement Test (SAT-10) in the…
Descriptors: Reading Instruction, Screening Tests, Reading Comprehension, Oral Language
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The Florida Center for Reading Research (FCRR) Reading Assessment (FRA) consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 50th percentile) on the reading comprehension…
Descriptors: Elementary School Students, Middle School Students, High School Students, Written Language
Daniel, Rhonda – Graduate Management Admission Council, 2015
For its 16th annual Application Trends Survey, the Graduate Management Admission Council (GMAC) gathered and analyzed data from a total of 641 graduate business programs located at 306 universities worldwide to understand application volume, the applicant pool, and special efforts being made to attract candidates to graduate management programs.…
Descriptors: Masters Programs, Business Administration Education, Administration, Doctoral Programs
Hauser, Robert M.; Huang, Min-Hsiung – 1996
Until the 1970s, there were few signs of change in the historic difference of one standard deviation between average ability or achievement test scores of black and white students. From 1970 to the mid-to-late 1980s, there was a substantial convergence of the average achievement test scores of blacks and whites. From the mid-to-late 1980s to 1992,…
Descriptors: Academic Ability, Academic Achievement, Black Students, Elementary Secondary Education
Brunner, Josie – Online Submission, 2010
This is the full report, and a separate research brief also was published. Austin Independent School District (AISD) served 5,450 pre-K students in 2009-2010. Approximately 70% of sampled English-speaking pre-K students and 74% of sampled Spanish-speaking pre-K students had faster than the expected growth rate on an assessment of receptive…
Descriptors: Preschool Education, School Districts, Spanish Speaking, Receptive Language
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Charles County Public Schools, La Plata, MD. – 1974
This booklet contains the graphs of mean cumulative and achievement scores, as well as a grade level analysis, for all grade schools in Charles County, Maryland during the 1973-1974 academic year. (Author/BJG)
Descriptors: Achievement Tests, Elementary Education, Graphs, Intelligence Tests
Schagen, Ian; Shamsan, Yarim – National Foundation for Educational Research, 2007
Private schooling in the third world is on the increase and in particular in one of the low-income areas of India, where a data analysis on Hyderabad has been carried out. The University of Newcastle has conducted an initiative research in Hyderabad on the impact on pupils' progress in Reading and Spelling tests. This initiative was called…
Descriptors: Spelling, Phonics, Educational Research, Research Methodology
Atkinson, Leslie – 1990
Three tables are provided to aid in the clinical interpretation of factor scores for the Wechsler Adult Intelligence Scale-Revised (WAIS-R; 1981). The factor structure of the WAIS-R has proven to be robust across samples, tests, time, statistical analyses, measurement scales, and distortions of the distribution. Information necessary to make…
Descriptors: Adults, Clinical Diagnosis, Diagnostic Tests, Error of Measurement
Schagen, Ian; Shamsan, Yarim – National Foundation for Educational Research, 2007
With the introduction of a growing number of private schools in the third world, several organisations and groups are endeavouring to examine the effects of such schooling systems on poor pupils. Professor James Tooley, the client, has collected data from seven regions internationally (three in India, three in Africa and one in China). For this…
Descriptors: Private Schools, Low Income Groups, Academic Achievement, Foreign Countries