Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework
Authors:
- 19 April 2018
- journal article
- research article
- Published by Springer Nature in Social Indicators Research
- Vol. 146 (1-2) , 41-60
Abstract
No abstract availableKeywords
This publication has 33 references indexed in Scilit:
- A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancerBMC Medical Research Methodology, 2013
- Examining the Joint Effect of Multiple Risk Factors Using Exposure Risk Profiles: Lung Cancer in NonsmokersEnvironmental Health Perspectives, 2011
- Student engagement with school: Critical conceptual and methodological issues of the constructPsychology in the Schools, 2008
- Predicting Academic Performance by Data Mining MethodsEducation Economics, 2007
- Academic resilience and its psychological and educational correlates: A construct validity approachPsychology in the Schools, 2006
- Comparing Mail and Web-Based Survey Distribution Methods: Results of Surveys to Leisure Travel RetailersJournal of Travel Research, 2005
- Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.American Psychologist, 2002
- Ties That Bind: A Social Network Approach to Understanding Student Integration and PersistenceThe Journal of Higher Education, 2000
- Goal Theory, Motivation, and School Achievement: An Integrative ReviewAnnual Review of Psychology, 2000
- Dropout from Higher Education: A Theoretical Synthesis of Recent ResearchReview of Educational Research, 1975