A cross-cultural comparison of effective help-seeking behavior among students using an ITS for math

Jose Carlo A Soriano, Ma Mercedes T Rodrigo, Ryan S J D Baker, Amy Ogan, Erin Walker, Maynor Jimenez Castro, Ryan Genato, Samantha Fontaine, Ricardo Belmontez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We use educational data mining to arrive at models of help-seeking behaviors associated with learning from datasets from three countries: Costa Rica, the Philippines, and the USA. The models were then tested on each country's data to find out how effective help-seeking behavior varies across countries. This study found that models of effective help-seeking are not necessarily transferrable across specific pairs of cultures.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
Pages636-637
Number of pages2
DOIs
StatePublished - Jun 22 2012
Event11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece
Duration: Jun 14 2012Jun 18 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7315 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Intelligent Tutoring Systems, ITS 2012
CountryGreece
CityChania, Crete
Period6/14/126/18/12

Keywords

  • Cognitive Tutors
  • Cross-Cultural
  • Help-seeking
  • Scatterplot

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Soriano, J. C. A., Rodrigo, M. M. T., Baker, R. S. J. D., Ogan, A., Walker, E., Castro, M. J., Genato, R., Fontaine, S., & Belmontez, R. (2012). A cross-cultural comparison of effective help-seeking behavior among students using an ITS for math. In Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings (pp. 636-637). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7315 LNCS). https://doi.org/10.1007/978-3-642-30950-2_98