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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
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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
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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
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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
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
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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
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Hawker, Morgan J.; Dysleski, Lisa; Rickey, Dawn – Journal of Chemical Education, 2016
Metacognitive monitoring of one's own understanding plays a key role in learning. An aspect of metacognitive monitoring can be measured by comparing a student's prediction or postdiction of performance (a judgment made before or after completing the relevant task) with the student's actual performance. In this study, we investigated students'…
Descriptors: Chemistry, Science Instruction, Metacognition, Progress Monitoring
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Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
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de Bruin, Anique B. H.; Kok, Ellen M.; Lobbestael, Jill; de Grip, Andries – Metacognition and Learning, 2017
Being overconfident when estimating scores for an upcoming exam is a widespread phenomenon in higher education and presents threats to self-regulated learning and academic performance. The present study sought to investigate how overconfidence and poor monitoring accuracy vary over the length of a college course, and how an intervention consisting…
Descriptors: Self Esteem, College Students, Progress Monitoring, Intervention
Jimerson, Shane R., Ed.; Burns, Matthew K., Ed.; VanDerHeyden, Amanda M., Ed. – Springer, 2016
The second edition of this essential handbook provides a comprehensive, updated overview of the science that informs best practices for the implementation of response to intervention (RTI) processes within Multi-Tiered Systems of Support (MTSS) to facilitate the academic success of all students. The volume includes insights from leading scholars…
Descriptors: Response to Intervention, Student Evaluation, Reading Skills, Writing Skills