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Briana Hennessy – ProQuest LLC, 2021
State-wide tests are designed to measure student overall ability on grade-level standards. School leaders want fine-grained information on student performance to inform curriculum and instruction. One currently used target scoring method, which compares student scores to expected values is currently used to give this feedback to schools, but there…
Descriptors: Standardized Tests, Academic Standards, Academic Ability, Scoring
Avitabile, Ciro; de Hoyos, Rafael – World Bank, 2015
A randomized control trial was conducted to study whether providing 10th grade students with information about the returns to upper secondary and tertiary education, and a source of financial aid for tertiary education, can contribute to improve student performance. The study finds that the intervention had no effects on the probability of taking…
Descriptors: Foreign Countries, High School Students, Grade 10, Randomized Controlled Trials
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
Pardos, Zachary A.; Baker, Ryan S. J. D.; San Pedro, Maria O. C. Z.; Gowda, Sujith M.; Gowda, Supreeth M. – Journal of Learning Analytics, 2014
In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…
Descriptors: Affective Behavior, Student Behavior, Learner Engagement, Web Based Instruction
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Armstrong, Ronald D.; Shi, Min – Journal of Educational Measurement, 2009
This article demonstrates the use of a new class of model-free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model-free person-fit statistics…
Descriptors: Probability, Simulation, Models, Psychometrics
Wongsurawat, Winai – Quality Assurance in Education: An International Perspective, 2008
Purpose: The purpose of this paper is to evaluate the evidence on whether grade inflation has led to an increasing emphasis on standardized test scores as a criterion for law school admissions. Design/methodology/approach: Fit probabilistic models to admissions data for American law schools during the mid to late 1990s, a period during which…
Descriptors: Grade Inflation, Law Schools, Standardized Tests, Academic Ability

Brandenburg, Dale C.; Forsyth, Robert A. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Goodness of Fit, Item Sampling, Models