Results 231 to 240 of about 9,029 (261)

Modeling Student Dropout in Tutoring Systems

2014
Intelligent tutors have been shown to be almost as effective as human tutors in supporting learning in many domains. However, the construction of intelligent tutors can be costly. One way to address this problem is to use previously collected data to generate models to provide intelligent feedback to otherwise non-personalized tutors.
Michael Eagle, Tiffany Barnes
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Students Serving Students: A Dropout-Prevention Program

The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 1994
(1994). Students Serving Students: A Dropout-Prevention Program. The Clearing House: A Journal of Educational Strategies, Issues and Ideas: Vol. 68, No. 1, pp. 12-14.
Bruce Delaney, Wellesley T. Corbett
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Freshman Year Dropouts: Interactions Between Student and School Characteristics and Student Dropout Status

Journal of Education for Students Placed at Risk (JESPAR), 2006
Data from a large school district in the southwestern United States were analyzed to investigate relations between student and school characteristics and high school freshman dropout patterns. Application of a multilevel logistic regression model to student dropout data revealed evidence of school-to-school differences in student dropout rates and ...
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Reasons and Solutions for Student Dropouts

2023
 Educator Carlyle observes that nature is the best teacher, while in fact parents introduce relationships to a child, while the teacher introduces the world to the child.  Where does the huge headache of dropout begin when every student has every right to basic education? The purpose of this article is to explore this. 
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Dropout Prevention and Student Engagement

2020
Our work in dropout prevention and student engagement grew out of the development, implementation, and evaluation of Check & Connect. Student engagement is the foundation of theory and interventions to promote school completion. As we worked to study and understand successful school completion efforts, interest in student engagement was growing among ...
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EvolveDTree: Analyzing Student Dropout in Universities

2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020
Gustavo Alexandre Sousa Santos, Kele T. Belloze, Luís Tarrataca, Diego B. Haddad, Alex Laier Bordignon, Diego N. Brandão   +5 more
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Forecasting Student Dropout

Education and Urban Society, 1970
Clifford E. Bryan, Edsel L. Erickson
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Predicting Student's Dropout in University Classes Using Two-Layer Ensemble Machine Learning Approach: A Novel Stacked Generalization

Computers and Education Artificial Intelligence, 2022
Lyuchao Liao, Jovial Niyogisubizo, Eric NZIYUMVA   +2 more
exaly  

A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses

ACM Computing Surveys, 2021
Bardh Prenkaj, Damiano Distante, Paola Velardi   +2 more
exaly  

Large Qualitative Sample and Thematic Analysis to Redefine Student Dropout and Retention Strategy in Open Online Education

British Journal of Educational Technology, 2022
Catherine Moore, Steven J Greenland
exaly