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Cameron, Tracy A.; Schaughency, Elizabeth; Taumoepeau, Mele; McPherson, Craig; Carroll, Jane L. D. – School Psychology, 2023
Oral language and early literacy skills are theorized to provide the foundation for reading acquisition. To understand these relations, methods are needed that depict dynamic skill development in the context of reading acquisition. We modeled contributions of school-entry skills and early skill trajectories to later reading with 105 5-year-old…
Descriptors: Foreign Countries, Elementary School Students, Emergent Literacy, Oral Language
Khan, Ijaz; Ahmad, Abdul Rahim; Jabeur, Nafaa; Mahdi, Mohammed Najah – Smart Learning Environments, 2021
A major problem an instructor experiences is the systematic monitoring of students' academic progress in a course. The moment the students, with unsatisfactory academic progress, are identified the instructor can take measures to offer additional support to the struggling students. The fact is that the modern-day educational institutes tend to…
Descriptors: Artificial Intelligence, Academic Achievement, Progress Monitoring, Data Collection
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
Alcaraz, Raul; Martinez-Rodrigo, Arturo; Zangroniz, Roberto; Rieta, Jose Joaquin – IEEE Transactions on Learning Technologies, 2021
Early warning systems (EWSs) have proven to be useful in identifying students at risk of failing both online and conventional courses. Although some general systems have reported acceptable ability to work in modules with different characteristics, those designed from a course-specific perspective have recently provided better outcomes. Hence, the…
Descriptors: Prediction, At Risk Students, Academic Failure, Electronic Equipment
Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
van Dijk, Wilhelmina; Pico, Danielle L.; Kaplan, Rachel; Contesse, Valentina; Lane, Holly B. – Computers in the Schools, 2022
The use of online literacy applications is proliferating in elementary classrooms. Using data generated by these applications is assumed to be helpful for teachers to identify struggling readers. Unfortunately, many teachers are unsure how to use and interpret the plethora of data from these apps. In this longitudinal study, we followed a cohort…
Descriptors: Kindergarten, Grade 1, Reading Difficulties, Data Use
Sönmez, Selami – Universal Journal of Educational Research, 2018
Descartes expresses his opinion on the method very clear with the quote: "The whole secret of the method; starting from the circle and gradually going up the steps to the most complicated ". When it is thought that the knowledge of the absolute and unchanging truth in the positive sciences has not yet been reached, it should not be…
Descriptors: Scientific Research, Research Methodology, Classification, Prediction
Parker, David C.; Van Norman, Ethan; Nelson, Peter M. – Learning Disabilities Research & Practice, 2018
The accuracy of decision rules for progress monitoring data is influenced by multiple factors. This study examined the accuracy of decision rule recommendations with over 4,500 second-and third-grade students receiving a tier II reading intervention program. The sensitivity and specificity of three decision rule recommendations for predicting…
Descriptors: Progress Monitoring, Accuracy, Grade 2, Grade 3
Mozahem, Najib Ali – International Journal of Mobile and Blended Learning, 2020
Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student performance in classrooms that use LMS to supplement face-to-face teaching. Data was collected from eight courses spread across two…
Descriptors: Integrated Learning Systems, Data Use, Prediction, Academic Achievement
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
An Early Feedback Prediction System for Learners At-Risk within a First-Year Higher Education Course
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
O'Keeffe, Breda V.; Bundock, Kaitlin; Kladis, Kristin L.; Yan, Rui; Nelson, Kat – Remedial and Special Education, 2017
Previous research on curriculum-based measurement of oral reading fluency (CBM ORF) found high levels of variability around the estimates of students' fluency; however, little research has studied the issue of variability specifically with well-designed passage sets and a sample of students who scored below benchmark for the purpose of progress…
Descriptors: Emergent Literacy, Elementary School Students, Reading Fluency, Reading Tests
Golovachyova, Viktoriya N.; Menlibekova, Gulbakhyt Zh.; Abayeva, Nella F.; Ten, Tatyana L.; Kogaya, Galina D. – International Journal of Environmental and Science Education, 2016
Using computer-based monitoring systems that rely on tests could be the most effective way of knowledge evaluation. The problem of objective knowledge assessment by means of testing takes on a new dimension in the context of new paradigms in education. The analysis of the existing test methods enabled us to conclude that tests with selected…
Descriptors: Expertise, Computer Assisted Testing, Student Evaluation, Knowledge Level
Bass, Laura H.; Ballard, Angela S. – Research in Higher Education Journal, 2012
A study by Kenney, Kenney, and Dumont (2005) identified a supportive learning environment as one of the five indicators for collegiate student engagement, a concept that extends beyond the classroom to permeate the entire educational environment. A student's level of engagement can be impacted as early as orientation and registration, when he is…
Descriptors: Predictor Variables, Educational Environment, Nontraditional Students, Student Attrition