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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
Pernille Bødtker Sunde; Bert De Smedt; Lieven Verschaffel; Peter Sunde – European Journal of Psychology of Education, 2024
Early detection of and relevant information on children's mathematical difficulties is important to initiate targeted teaching and intervention. This study investigated the extent to which strategy use in single-digit addition provides additional predictive information about 61 grade one children's (6-year-old) mathematical achievement 3 years…
Descriptors: Grade 1, Addition, Grade 4, Mathematics Achievement
Linda Bates Murray – ProQuest LLC, 2023
As a result of federal and state laws, it is necessary to identify an accurate predictor of student achievement before administering the state-mandated test. School districts are increasingly administering "benchmark assessments" throughout the year to measure students' progress and provide teachers with data about adjusting instruction.…
Descriptors: Academic Achievement, State Standards, Benchmarking, Prediction
Andrea Batey-Talley – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Kimberly Wheeler – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Benjamin Simmons – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Everett, Jeff – ProQuest LLC, 2023
The purpose of this quantitative correlational study was to determine if and to what extent an ELL student's SBELP-RC could predict his or her ACPELA-RC, ACPELA-WP, and ACP-A1. Study participants were ELL students in Grades 9 to 12, attending a Northern Virginia high school. A further purpose of this study was to investigate if and to what extent…
Descriptors: Prediction, State Standards, Scores, Instructional Design
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
Khue N. Tran – ProQuest LLC, 2022
The main objective of this dissertation was to investigate factors that affect decision-makers' trust in and reliance on algorithmic predictions as decision aids in the context of college admission prediction tasks. College admission officers often made predictions about the applicants' future success based on multiple pieces of available…
Descriptors: Algorithms, College Admission, Prediction, Academic Achievement
Cassidi L. Richmond; Mia C. Daucourt; Sara A. Hart; Emily J. Solari – Learning Disability Quarterly, 2024
This study examined the heterogeneity of literacy profiles for adolescents with and without a specific learning disability (SLD) in the U.S. state of Florida Student subgroups displaying common patterns of performance in word-level skills and reading comprehension were identified through latent profile analysis. Results indicate most of the total…
Descriptors: Learning Disabilities, Reading Skills, Word Recognition, Reading Comprehension
Jennifer A. Casazza – ProQuest LLC, 2021
Since zero-tolerance policies were put into effect, suspension rates have risen dramatically in the United States (Ayers et al., 2001). This fact is unsettling because research shows that suspension has a negative impact on both academic achievement and poor life outcomes (Rausch & Skiba, 2005). The goal of this quantitative study was to…
Descriptors: Suspension, Academic Achievement, Grade 6, Grade 7
Sutter, Claudia C.; Campbell, Laurie O.; Lambie, Glenn W. – Computers in the Schools, 2020
The present study investigated the predictability of a computer-adaptive, curriculum-based reading assessment for measuring second-grade students' overall and comprehension reading achievement on a standardized reading achievement test. Specifically, second-grade student scores (N = 428) of the Istation's Indicators of Progress for Early Reading…
Descriptors: Prediction, Standardized Tests, Reading Tests, Grade 2
Kreiser, Ryan P.; Wright, Aidan K.; McKenzie, Tristan L.; Albright, J. Alex; Mowles, Eric D.; Hollows, Jared E.; Limbocker, Scott; Eslinger, Melissa; Limbocker, Ryan; Nguyen, Lam T. – Journal of Chemical Education, 2022
Quantitative metrics are widely employed to determine the probability of an applicant succeeding in a specific program of interest, ranging from undergraduate or graduate admissions to fellowships. The admissions office at the United States Military Academy at West Point uses an internal college entrance examination rank (CEER) assessment…
Descriptors: Prediction, Science Achievement, Chemistry, Undergraduate Students
Anahid S. Modrek; Tania Lombrozo – Cognitive Science, 2024
How does the act of explaining influence learning? Prior work has studied effects of explaining through a predominantly proximal lens, measuring short-term outcomes or manipulations within lab settings. Here, we ask whether the benefits of explaining extend to academic performance over time. Specifically, does the quality and frequency of student…
Descriptors: Academic Achievement, Learning Processes, Cognitive Processes, Prediction
Aysegül Okay; Gülay Cedden – International Journal of School & Educational Psychology, 2025
This study investigates the relationship among working memory (WM), mathematics, and language, with the aim of understanding: (1) whether the functions and capacities of WM components can predict achievement in language and mathematics; and (2) whether competence in the first language (L1) and achievement in mathematics can predict success in…
Descriptors: Correlation, Short Term Memory, Mathematics Achievement, Turkish