NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Beth M. Phillips; Chelsea Funari; Felesa Oliver; Jennifer Berrien; Pamela W. Burris; Michael P. Mesa – Reading and Writing: An Interdisciplinary Journal, 2022
In the context of the critical need to support children's early language development, teacher knowledge may enhance children's opportunities to build linguistic skills. In this study we explored how early childhood teachers' (n = 86) pedagogical content knowledge for language and vocabulary, and their book-reading implementation across the school…
Descriptors: Pedagogical Content Knowledge, Language Acquisition, Language Skills, Vocabulary Development
Beth M. Phillips; Chelsea Funari; Felesa Oliver; Jennifer Berrien; Pamela W. Burris; Michael P. Mesa – Grantee Submission, 2022
In the context of the critical need to support children's early language development, teacher knowledge may enhance children's opportunities to build linguistic skills. In this study we explored how early childhood teachers' (n = 86) pedagogical content knowledge for language and vocabulary, and their book-reading implementation across the school…
Descriptors: Pedagogical Content Knowledge, Language Acquisition, Language Skills, Vocabulary Development
Peer reviewed Peer reviewed
Direct linkDirect link
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Peer reviewed Peer reviewed
Direct linkDirect link
Goldhaber, Dan; Chaplin, Duncan Dunbar – Journal of Research on Educational Effectiveness, 2015
In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Influence, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Sternberg, Robert J.; Bonney, Christina R.; Gabora, Liane; Merrifield, Maegan – Educational Psychologist, 2012
This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…
Descriptors: Intelligence, College Students, Grade Point Average, Prediction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Al Otaiba, Stephanie; Connor, Carol M.; Folsom, Jessica S.; Wanzek, Jeanne; Greulich, Luana; Schatschneider, Christopher; Wagner, Richard K. – Society for Research on Educational Effectiveness, 2015
This randomized control study compares the efficacy of two response-to-intervention (RTI) models: (1) Dynamic RTI, which immediately refers grade 1 students with the weakest skills to the most intensive intervention supports (Tier 2 or Tier 3); and (2) Typical RTI, which starts all students in Tier 1 and after 8 weeks, decides whether students who…
Descriptors: Response to Intervention, Randomized Controlled Trials, Models, Program Effectiveness
Kong, Jadie; Powers, Sonya; Starr, Laura; Williams, Natasha – Pearson, 2012
The purpose of this study was to investigate the use of English language proficiency and academic reading assessment scores to predict the future academic success of English learner (EL) students. Data from two cohorts of middle-school ELs were used to evaluate three prediction models. One cohort of students was used to develop the prediction…
Descriptors: English Language Learners, Academic Achievement, Language Proficiency, Reading Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Zhidong; Telese, James – Teacher Education and Practice, 2012
In this article, we report the regression relations between preservice teachers' academic characteristics and their performance on the Texas Examination of Educator Standards. These academic characteristics include grade point average, reading ability, and critical thinking. The studies indicate that the critical thinking was the best predictor…
Descriptors: Academic Achievement, Grade Point Average, Reading Tests, Teacher Certification
James, Kai'Iah A. – ProQuest LLC, 2010
This dissertation study examines the impact of traditional and non-cognitive variables on the academic prediction model for a sample of collegiate student-athletes. Three hundred and fifty-nine NCAA Division IA male and female student-athletes, representing 13 sports, including football and Men's and Women's Basketball provided demographic…
Descriptors: Grade Point Average, Income, Standardized Tests, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Leighton, Jacqueline P.; Cui, Ying; Cor, M. Ken – Applied Measurement in Education, 2009
The objective of the present investigation was to compare the adequacy of two cognitive models for predicting examinee performance on a sample of algebra I and II items from the March 2005 administration of the SAT[TM]. The two models included one generated from verbal reports provided by 21 examinees as they solved the SAT[TM] items, and the…
Descriptors: Test Items, Inferences, Cognitive Ability, Prediction
1975
This document describes a model for predicting the success of recent high school graduates in Florida community college business courses. In the development of the model, test scores from the Florida Twelfth Grade Test and grades earned during the senior year by high school graduates from eleven high schools in Brevard County entering their first…
Descriptors: Academic Ability, Academic Achievement, Business Education, Community Colleges
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection