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Sletten, Mira Aaboen; Tøge, Anne Grete; Malmberg-Heimonen, Ira – Scandinavian Journal of Educational Research, 2023
This cluster-randomised study investigated the effects of a Norwegian early warning system, the IKO model. IKO is a Norwegian acronym for identification, assessment, and follow-up, and the model aims to improve schools' abilities to identify and support students who are at risk of dropping out during the school year. The study involved 7677…
Descriptors: Attendance, Comparative Analysis, Secondary School Students, Foreign Countries
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Linda A. Reddy; Todd A. Glover; Christopher M. Dudek; Alexander Alperin; Nicole B. Wiggs; Briana Bronstein – Grantee Submission, 2022
There is limited research on job-embedded professional development designed to promote paraprofessionals' use of research-based strategies to support students with disruptive behaviors. This study serves as the first clustered randomized controlled trial to investigate the efficacy of the Behavior Support Coaching for Paraprofessional Model…
Descriptors: Paraprofessional School Personnel, Behavior Problems, Intervention, Elementary School Students
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Shelton, Brett E.; Hung, Jui-Long; Lowenthal, Patrick R. – Distance Education, 2017
Early-warning intervention for students at risk of failing their online courses is increasingly important for higher education institutions. Students who show high levels of engagement appear less likely to be at risk of failing, and how engaged a student is in their online experience can be characterized as factors contributing to their social…
Descriptors: Asynchronous Communication, Online Courses, Educational Technology, Integrated Learning Systems
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Splett, Joni W.; Trainor, Kathryn M.; Raborn, Anthony; Halliday-Boykins, Colleen A.; Garzona, Marlene E.; Dongo, Melissa D.; Weist, Mark D. – Behavioral Disorders, 2018
Despite schools increasingly adopting multitiered systems of support (MTSS) for prevention and intervention of mental health concerns, many are slow to adopt universal mental health screening (UMHS), a core MTSS feature, due to concerns about their limited capacity to meet the needs of all identified. In this study, we examined differences in the…
Descriptors: Comparative Analysis, Child Behavior, Rating Scales, Mental Health
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Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
Markovitz, Carrie E.; Hernandez, Marc W.; Hedberg, Eric C.; Silberglitt, Benjamin – Corporation for National and Community Service, 2015
Minnesota Reading Corps is the largest AmeriCorps State program in the country. Its mission is to help every Minnesota child become a proficient reader by the end of third grade. To meet this goal, the Minnesota Reading Corps and its host organization, ServeMinnesota Action Network, engages a diverse group of AmeriCorps members to provide…
Descriptors: Outcome Measures, Reading Programs, State Programs, Preschool Education
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
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Yildiz, Osman; Bal, Abdullah; Gulsecen, Sevinc – EURASIA Journal of Mathematics, Science & Technology Education, 2015
The demand for distance education has been increasing at a rapid pace all around the world. This, in turn, places a special importance on the need for the development of more distance education systems. However, there is an alarming rise in the number of distance education students that drop out of the system without asking for any help. The…
Descriptors: Distance Education, Academic Achievement, Computation, Models
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Levin, Jesse; de los Reyes, Iliana Brodziak; Atchison, Drew; Manship, Karen; Arellanes, Melissa; Hu, Lynn – Policy Analysis for California Education, PACE, 2018
This document contains the following nine appendixes of the main report, "What Does It Cost to Educate California's Students? A Professional Judgment Approach. Technical Report. Getting Down to Facts II": (1) Professional Judgement Panel General Instructions; (2) Professional Judgement Panel. Task Instructions; (3) School Resource…
Descriptors: Program Design, Statistics, School Funds, Funding Formulas
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Al Otaiba, Stephanie; Connor, Carol M.; Folsom, Jessica S.; Wanzek, Jeanne; Greulich, Luana; Schatschneider, Christopher; Wagner, Richard K. – Exceptional Children, 2014
This randomized controlled experiment compared the efficacy of two response-to-intervention (RTI) models--typical RTI and dynamic RTI--and included 34 first-grade classrooms (n = 522 students) across 10 socioeconomically and culturally diverse schools. Typical RTI was designed to follow the two-stage RTI decision rules that wait to assess response…
Descriptors: Intervention, Comparative Analysis, Control Groups, Experimental Groups
Eschen, Eric Thomas – ProQuest LLC, 2013
This qualitative study analyzed two alternative-to-expulsion programs for high school students. Both programs, the "Learning with Peers Program" and the "Individualized Online Program", offered students an opportunity to earn credits rather than be expelled, but their philosophies presented an educational dichotomy: Should…
Descriptors: Nontraditional Education, High School Students, At Risk Students, Expulsion
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