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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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Jokhan, Anjeela; Sharma, Bibhya; Singh, Shaveen – Studies in Higher Education, 2019
Early warning systems are being used to assist students in their studies as well as understanding student behaviour and performance better. A home-grown EWS plug-in for Moodle was used to predict the student performance in a first year IT literacy course at University of the South Pacific. The alert tool was designed to capture student logins,…
Descriptors: Higher Education, College Students, Online Courses, At Risk Students
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Weber, Meredith A.; House Rich, Sara E.; Duhon, Gary J. – Beyond Behavior, 2019
Check-in/check-out (CICO) is a well-established Tier 2 intervention to address at-risk student behavior problems. Despite its widespread empirical support and applied use, CICO can be taxing for teachers to implement when there is insufficient time available and teacher self-efficacy in addressing behavior problems is low. Evaluation of CICO is…
Descriptors: At Risk Students, Student Behavior, Behavior Problems, Program Effectiveness
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Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
Mellado De La Cruz, Veronica; Al Otaiba, Stephanie; Hsiao, Yu-Yu; Clemens, Nathan H.; Jones, Fracesca G.; Rivas, Brenna K.; Brewer, Emily A.; Hagan-Burke, Shanna; Simmons, Leslie E. – Grantee Submission, 2019
The purpose of the study was to assess early literacy skills and examine the presence and stability of challenging behaviors across the critical threshold of the kindergarten school year. Students' (n = 337) literacy performance (letter sound fluency, word attack, and phonological awareness) and challenging behaviors (teacher ratings of…
Descriptors: Emergent Literacy, Kindergarten, Student Behavior, Behavior Problems
Office of Planning, Evaluation and Policy Development, US Department of Education, 2017
In 2014-15, the high school graduation rate reached a record high of 83 percent (U.S. Department of Education 2016). Despite the gains, over half a million students still drop out of high school each year (U.S. Department of Education 2015). High schools have adopted various strategies designed to keep students who are at risk of not graduating in…
Descriptors: At Risk Students, High Schools, High School Students, Dropout Prevention
Whisman, Andy – West Virginia Department of Education, 2015
The West Virginia Board of Education (WVBE), recognizing the need for safe and supportive schools, revised its policy regarding student conduct. The result, "Expected Behaviors in Safe and Supportive Schools" (WVBE Policy 4373, effective July 1, 2012), put forth the behaviors expected of West Virginia's students; the rights and…
Descriptors: School Policy, Student Behavior, Student Rights, Behavior Problems
National Center on Intensive Intervention, 2013
The term "intensive intervention" is not commonly understood, and variations abound in the literature regarding both its definition and implementation. This document introduces and describes the data-based individualization (DBI) process, a framework for addressing the needs of students who require intensive intervention in academics…
Descriptors: Intervention, Behavior Modification, Student Behavior, Academic Support Services
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Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention
Alabama Department of Education, 2011
This guide is a training and supportive tool for use by local education agencies (LEAs) in the state of Alabama that are utilizing the Science, Technology and Innovation (STI) Information-INow-INFocus information system software. The Graduation Tracking System (GTS) utilizes existing STI technology to capture student information pertaining to…
Descriptors: Guides, Computer Software, Information Management, Student Records