Results 51 to 60 of about 70,487 (294)

Student Dropout Prediction

International Journal of Advanced Research in Science, Communication and Technology
Student dropout poses a major challenge to educational institutions, affecting academic performance and institutional reputation. This study applies machine learning techniques to predict at-risk students using data from the Department of Computer Science, University of Benin (2016–2020), with 906 records analyzed. Six classifiers—Naive Bayes, Logistic
null Anjana S, null Dr. V. Vijayakumar
openaire   +1 more source

Testing a Personalized Approach to Chronic Low Back Pain: A Randomized Controlled Trial in Older Veterans

Arthritis Care &Research, EarlyView.
Objective We aimed to test the efficacy of personalized treatment of older veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABCs) as compared with usual care (UC). Methods Two hundred ninety‐nine veterans aged 65 to 89 with CLBP from three Veterans Affairs (VA) medical centers underwent baseline testing, randomization to ABC ...
Debra K. Weiner, Angela Gentili, Meika A. Fang, Edward Garay, Laura Lawson, Lenore Joseph, Cathy C. Lee, Michelle I. Rossi, Beverly Thorn, Subashan Perera   +9 more
wiley   +1 more source

The Silent Epidemic: Perspectives of High School Dropouts [PDF]

, 2006
Presents findings from a survey that examines why some students do not complete their high school education, and what academic and personal supports would have helped them stay in school.
John J. DiIulio, Jr., John M. Bridgeland, Karen Burke Morison   +2 more
core  

The minimum dropout age and student victimization

Economics of Education Review, 2012
Abstract Over the years, the minimum dropout age has been raised to 18 in 21 states. Although these policy changes are promoted for their educational benefits, they have been shown to reduce crimes committed by youths in the affected age groups. However, an unintended consequence of increasing the minimum dropout age could be the displacement of ...
Anderson, D. Mark, Hansen, Benjamin, Walker, Mary Beth   +2 more
openaire   +2 more sources

Socioeconomic Data Mining and Student Dropout

International Journal for Innovation Education and Research, 2020
This paper aims to analyze the student dropout from a higher education course, in the city of Guarapari, Espírito Santo, Brazil, through the use of the computational tool known as data mining. The objective was to investigate the possible scenarios for the early identification of students with higher risk of dropping out by analyzing socioeconomic data
Walber Antonio Ramos Beltrame, Oldair Luiz Gonçalves   +1 more
openaire   +2 more sources

Sarilumab in Polyarticular‐Course Juvenile Idiopathic Arthritis: Dose‐Finding and One‐Year Analysis of a Phase 2b, Open‐Label, Multicenter Study

Arthritis Care &Research, Accepted Article.
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension‐phase). During part 1, three doses were assessed in two weight groups (Group A/B: ≥30–60 kg/≥10–<
Fabrizio De Benedetti, Inmaculada C. Penadés, Irina Nikishina, Ivan Foeldvari, Alberto J. Spindler, Anna Kozlova, Nadina Rubio‐Pérez, Pierre Quartier, Zbigniew Żuber, Raul Barria, Daniel Clemente, Gabriel V. Cornejo, Katherine Marzan, Nancy Liu, Christine Xu, Stephen DiMartino, Angeliki Giannelou, Fei Cao‐Ghoul, Bolanle Akinlade, Lydie Baret‐Cormel   +19 more
wiley   +1 more source

Why Students Drop Out of School: A Review of 25 Years of Research [PDF]

, 2008
Reviews research on the underlying causes of the high school dropout crisis -- individual and institutional characteristics that predict whether a student is likely to drop out of high school.
Russell W. Rumberger, Sun Ah Lim
core  

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Student dropping out during the first five years of the major of medicine

Revista Electrónica Dr. Zoilo E. Marinello Vidaurreta, 2020
Background: the factors related to dropping out and academic failure are necessary indicators to be considered, so that the educational institutions draw guidelines to head to success.Objective: to determine the relationship some factors have to dropping
José Ramón Martínez-Pérez, Yunelsy Ortíz-Cabrera, Elmer Héctor Pérez-Leyva, Rebeca Guevara-González, Yenny Ferrás-Fernández   +4 more
doaj  

Elevating University Dropout Prognostication via Refined Predictive Frameworks and Advanced Optimization Mechanisms [PDF]

Journal of Artificial Intelligence and System Modelling
University dropout rates, which negatively affect both the economy and the academic side of things, have been worrying educators. Those who drop out before graduation are affected both academically and economically.
Fotima Iskandarova, Navruza Irmukhamedova, Istamkhuja Davronov, Baymirzaev Akbarjon, Alijon Kodirov   +4 more
doaj   +1 more source