Publication Date
In 2025 | 2 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 20 |
Since 2016 (last 10 years) | 42 |
Since 2006 (last 20 years) | 52 |
Descriptor
Source
Author
Publication Type
Journal Articles | 41 |
Reports - Research | 37 |
Dissertations/Theses -… | 9 |
Reports - Descriptive | 3 |
Reports - Evaluative | 2 |
Books | 1 |
Guides - Non-Classroom | 1 |
Education Level
Elementary Education | 21 |
Early Childhood Education | 14 |
Primary Education | 14 |
Higher Education | 10 |
Postsecondary Education | 10 |
Grade 3 | 8 |
Middle Schools | 7 |
Grade 2 | 6 |
Intermediate Grades | 6 |
Grade 4 | 5 |
Grade 1 | 4 |
More ▼ |
Audience
Location
China | 1 |
Greece | 1 |
Indiana | 1 |
Minnesota (Minneapolis) | 1 |
Netherlands | 1 |
Pennsylvania | 1 |
Spain (Barcelona) | 1 |
Texas | 1 |
Turkey | 1 |
Laws, Policies, & Programs
Individuals with Disabilities… | 1 |
Assessments and Surveys
Dynamic Indicators of Basic… | 1 |
Gates MacGinitie Reading Tests | 1 |
easyCBM | 1 |
What Works Clearinghouse Rating
Charles J. Fitzsimmons; Clarissa A. Thompson – Metacognition and Learning, 2024
Metacognitive monitoring, recognizing when one is accurate or not, is important because judgments of one's performance or knowledge often relate to control decisions, such as help seeking. Unfortunately, children and adults struggle to accurately monitor their performance during number-magnitude estimation. People's accuracy in estimating number…
Descriptors: Metacognition, Progress Monitoring, Cues, Spatial Ability
Adam J. Lekwa; Joseph Deegan; Christian Mathews – Assessment for Effective Intervention, 2025
Drawing on cognitive theory in reading comprehension, Sentence Order Fluency (SOF) is proposed as a method for monitoring progress in reading comprehension. In this article, we present results of a pilot study on SOF conducted between April and June 2023, with a group of 119 students in Grades 4, 5, and 6 in a charter school in the mid-Atlantic…
Descriptors: Progress Monitoring, Reading Comprehension, Elementary School Students, Grade 4
Daniel Murphy; Sarah Quesen; Matthew Brunetti; Quintin Love – Educational Measurement: Issues and Practice, 2024
Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…
Descriptors: Classification, Growth Models, Accuracy, Performance Based Assessment
Spencer, Dan; Nietfeld, John L.; Cao, Li; Difrancesca, Daniell – Journal of Experimental Education, 2023
Understanding the development of self-regulated learning (SRL) in applied educational contexts is currently an important goal for researchers. There exists a relatively rich literature for most SRL components in isolation yet the field is lacking in understanding their coordination. This study examined the relationship between metacognitive…
Descriptors: Undergraduate Students, Metacognition, Progress Monitoring, Attribution Theory
Rasinski, Timothy; Galeza, Abbey; Vogel, Lauren; Viton, Brittany; Rundo, Heather; Royan, Emma; Nemer Shaheen, Randa; Bartholomew, Monica; Kaewkaemket, Chotika; Stokes, Faida; Young, Chase; Paige, David – Journal of Adolescent & Adult Literacy, 2022
Reading fluency has been identified as a critical competency for reading success. Accurate and automatic word recognition, one component of fluency, is normally assessed through reading rate (Oral Reading Fluency--ORF). While norms for ORF exist through grade 8, norms beyond grade 8 are largely unknown. The present study attempted to establish ORF…
Descriptors: Oral Reading, Reading Fluency, College Graduates, Word Recognition
Finch, W. Holmes; Finch, Maria E. Hernández; Avery, Brooke – Learning Disabilities Research & Practice, 2023
Progress monitoring using curriculum-based measures administered to a student at multiple points in time is common in educational settings. Recent research has demonstrated that common approaches to identifying individuals in need of special services, such as the trend line or median techniques, can be negatively impacted by the nonlinear change…
Descriptors: Progress Monitoring, Curriculum Based Assessment, Student Evaluation, Identification
Tao Hao; Zhe Wang; Shiting Dai; Yuxin Ren – Journal of Experimental Education, 2025
Irrespective of much research examining the effects of ego depletion on self-control related measures in social psychology, inadequate attention has been paid regarding whether ego depletion influences on logical reasoning performance. To address this gap, this experimental study randomly assigned Chinese college students (n = 112) to either an…
Descriptors: Foreign Countries, College Students, Public Colleges, Self Concept
Kuntz, Emily M.; Massey, Cynthia C.; Peltier, Corey; Barczak, Mary; Crowson, H. Michael – Teacher Education and Special Education, 2023
Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…
Descriptors: Graphs, Preservice Teachers, Accuracy, Decision Making
Dawes, Jillian; Solomon, Benjamin; McCleary, Daniel F.; Ruby, Cutler; Poncy, Brian C. – Assessment for Effective Intervention, 2022
The current availability of research examining the precision of single-skill mathematics (SSM) curriculum-based measurements (CBMs) for progress monitoring is limited. Given the observed variance in administration conditions across current practice and research use, we examined potential differences between student responding and precision of…
Descriptors: Curriculum Based Assessment, Mathematics Curriculum, Progress Monitoring, Accuracy
van de Pol, Janneke; van Loon, Mariëtte; van Gog, Tamara; Braumann, Sophia; de Bruin, Anique – Educational Psychology Review, 2020
For (facilitating) effective learning from texts, students and teachers need to accurately monitor students' comprehension. Monitoring judgments are accurate when they correspond to students' actual comprehension. Accurate monitoring enables accurate (self-)regulation of the learning process, i.e., making study decisions that are in line with…
Descriptors: Concept Mapping, Drafting, Self Management, Reader Text Relationship
Fatima, Saba – ProQuest LLC, 2023
Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…
Descriptors: Artificial Intelligence, Prediction, Outcomes of Education, At Risk Students
Van Norman, Ethan R.; Nelson, Peter M. – School Psychology, 2019
A growing body of research suggests that growth in early literacy skills, including letter sound fluency, is predictive of later reading outcomes. In turn, educators and school psychologists use measures of letter sound fluency to monitor student response to early reading instruction. Limited research has evaluated whether decision-making…
Descriptors: Progress Monitoring, Emergent Literacy, Curriculum Based Assessment, Simulation
Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Vanderheyden, Amanda M.; Solomon, Benjamin G. – School Psychology, 2023
Curriculum-based measurement (CBM) has conventionally included accuracy criteria with recommended fluency thresholds for instructional decision-making. Some scholars have argued for the use of accuracy to directly determine instructional need (e.g., Szadokierski et al., 2017). However, accuracy and fluency have not been directly examined to…
Descriptors: Curriculum Based Assessment, Progress Monitoring, Screening Tests, Accuracy