Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{conf/edm/ZafraV09,

• title = "Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming",
• author = "Amelia Zafra and Sebastian Ventura",
• bibdate = "2010-10-06",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/edm/edm2009.html#ZafraV09",
• booktitle = "Educational Data Mining - {EDM} 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining",
• publisher = "http://www.educationaldatamining.org",
• year = "2009",
• editor = "Tiffany Barnes and Michel C. Desmarais and Crist{\'o}bal Romero and Sebasti{\'a}n Ventura",
• isbn13 = "978-84-613-2308-1",
• pages = "309--318",
• URL = "http://www.educationaldatamining.org/EDM2009/uploads/proceedings/zafra.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.209.93",
• abstract = "The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a positive or negative way from the perspective of Multiple Instance Learning (MIL). Computational experiments compare our proposal with the most popular techniques of MIL. Results show that G3P-MI achieves better performance with more accurate models and a better trade-off between such contradictory metrics as sensitivity and specificity. Moreover, it adds comprehensibility to the knowledge discovered and finds interesting relationships that correlate certain tasks and the time devoted to solving exercises with the final marks obtained in the course.",
• keywords = "genetic algorithms, genetic programming",

}

Genetic Programming entries for Amelia Zafra Gomez Sebastian Ventura

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