The efficacy of iSTART extended practice: Low ability students catch up

G. Tanner Jackson, Chutima Boonthum, Danielle S. McNamara

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

22 Scopus citations

Abstract

iSTART is an Intelligent Tutoring System designed to improve students' reading comprehension skills. iSTART was the main component in a long term experiment (across a full academic year) with 389 students who completed a pretest, interacted with iSTART for 6 months, and then completed a posttest. A new extended practice module was implemented, which provided students with repeated practice across a variety of texts. Analyses found improvement in performance for all students, and indicate that students' initial self-explanation abilities may differ, but these abilities improve and converge as a function of practice.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings
Pages349-351
Number of pages3
EditionPART 2
DOIs
StatePublished - Aug 27 2010
Externally publishedYes
Event10th International Conference on Intelligent Tutoring Systems, ITS 2010 - Pittsburgh, PA, United States
Duration: Jun 14 2010Jun 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6095 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Intelligent Tutoring Systems, ITS 2010
CountryUnited States
CityPittsburgh, PA
Period6/14/106/18/10

Keywords

  • Intelligent Tutoring Systems
  • long-term learning
  • reading comprehension

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Jackson, G. T., Boonthum, C., & McNamara, D. S. (2010). The efficacy of iSTART extended practice: Low ability students catch up. In Intelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings (PART 2 ed., pp. 349-351). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6095 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-13437-1_67