Multi-instance genetic programming for predicting student performance in web based educational environments
Created by W.Langdon from
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- @Article{Zafra20122693,
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author = "Amelia Zafra and Sebastian Ventura",
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title = "Multi-instance genetic programming for predicting
student performance in web based educational
environments",
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journal = "Applied Soft Computing",
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volume = "12",
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number = "8",
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pages = "2693--2706",
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year = "2012",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2012.03.054",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494612001652",
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keywords = "genetic algorithms, genetic programming, Educational
data mining, Multiple instance learning,
Classification",
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abstract = "A considerable amount of e-learning content is
available via virtual learning environments. These
platforms keep track of learners' activities including
the content viewed, assignments submission, time spent
and quiz results, which all provide us with a unique
opportunity to apply data mining methods. This paper
presents an approach based on grammar guided genetic
programming, G3P-MI, which classifies students in order
to predict their final grade based on features
extracted from logged data in a web based education
system. Our proposal works with multiple instance
learning, a relatively new learning framework that can
eliminate the great number of missing values that
appear when the problem is represented by traditional
supervised learning. Experimental results are carried
out on data sets with information about several courses
and demonstrate that G3P-MI successfully achieves
better accuracy and yields trade-off between such
contradictory metrics as sensitivity and specificity
compared to the most popular techniques of multiple
instance learning. This method could be quite useful
for early identification of students at risk,
especially in very large classes, and allows the
instructor to provide information about the most
relevant activities to help students have a better
chance to pass a course.",
- }
Genetic Programming entries for
Amelia Zafra Gomez
Sebastian Ventura
Citations