Enriching textbooks through data mining

Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu

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

20 Scopus citations

Abstract

Textbooks play an important role in any educational system. Unfortunately, many textbooks produced in developing countries are not written well and they often lack adequate coverage of important concepts. We propose a technological solution to address this problem based on enriching textbooks with authoritative web content. We augment textbooks at the section level for key concepts discussed in the section. We use ideas from data mining for identifying the concepts that need augmentation as well as to determine the links to the authoritative content that should be used for augmentation. Our evaluation, employing textbooks from India, shows that we are able to enrich textbooks on different subjects and across different grades with high quality augmentations using automated techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st ACM Symposium on Computing for Development, DEV 2010
DOIs
StatePublished - Dec 1 2010
Event1st ACM Symposium on Computing for Development, DEV 2010 - London, United Kingdom
Duration: Dec 17 2010Dec 18 2010

Publication series

NameProceedings of the 1st ACM Symposium on Computing for Development, DEV 2010

Other

Other1st ACM Symposium on Computing for Development, DEV 2010
CountryUnited Kingdom
CityLondon
Period12/17/1012/18/10

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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  • Cite this

    Agrawal, R., Gollapudi, S., Kenthapadi, K., Srivastava, N., & Velu, R. (2010). Enriching textbooks through data mining. In Proceedings of the 1st ACM Symposium on Computing for Development, DEV 2010 [1926204] (Proceedings of the 1st ACM Symposium on Computing for Development, DEV 2010). https://doi.org/10.1145/1926180.1926204