Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Romero:2013:exsys,
  author =       "Cristobal Romero and Amelia Zafra and 
                 Jose Maria Luna and Sebastian Ventura",
  title =        "Association rule mining using genetic programming to
                 provide feedback to instructors from multiple-choice
                 quiz data",
  journal =      "Expert Systems",
  year =         "2013",
  volume =       "30",
  number =       "2",
  pages =        "162--172",
  month =        may,
  keywords =     "genetic algorithms, genetic programming, Educational
                 data mining, computer-based testing, association rule
                 mining, grammar-guided genetic programming",
  ISSN =         "1468-0394",
  DOI =          "doi:10.1111/j.1468-0394.2012.00627.x",
  size =         "11 pages",
  abstract =     "This paper proposes the application of association
                 rule mining to improve quizzes and courses. First, the
                 paper shows how to preprocess quiz data and how to
                 create several data matrices for use in the process of
                 knowledge discovery. Next, the proposed algorithm that
                 uses grammar-guided genetic programming is described
                 and compared with both classical and recent
                 soft-computing association rule mining algorithms.
                 Then, different objective and subjective rule
                 evaluation measures are used to select the most
                 interesting and useful rules. Experiments have been
                 carried out by using real data of university students
                 enrolled on an artificial intelligence practice
                 Moodle's course on the CLIPS programming language. Some
                 examples of these rules are shown, together with the
                 feedback that they provide to instructors making
                 decisions about how to improve quizzes and courses.
                 Finally, starting with the information provided by the
                 rules, the CLIPS quiz and course have been updated.
                 These innovations have been evaluated by comparing the
                 performance achieved by students before and after
                 applying the changes using one control group and two
                 different experimental groups.",
}

Genetic Programming entries for Cristobal Romero Morales Amelia Zafra Gomez Jose Maria Luna Sebastian Ventura

Citations