Improving reading comprehension in Spanish using iSTART-E: A pilot study

Kathryn S. McCarthy, Christian Marcelo Soto, Antonio P. Gutierrez de Blume, Diego Palma, Jordan Ignacio González, Danielle S. McNamara

Research output: Contribution to journalArticlepeer-review

Abstract

ISTART-E is a web-based intelligent tutor developed for Spanish-speaking students to improve their reading comprehension through self-explanation strategy training. This study examined the effects of a blended comprehension strategy intervention on students' reading comprehension skill. Chilean high school students (N = 22) completed nine iSTART-E sessions and a face-to-face classroom lesson that included integrative video and additional examples of self-explanation. Survey data indicated that students thought that iSTART-E was useful and that they had improved their reading skills. Critically, this was supported by objective assessment-students' standardized reading comprehension test (Lectum) performance improved from pre-training to post-training. These findings demonstrate promise for the use of iSTART-E as a computer-supported learning environment for Spanish readers.

Original languageEnglish (US)
Pages (from-to)66-82
Number of pages17
JournalInternational Journal of Computer-Assisted Language Learning and Teaching
Volume10
Issue number4
DOIs
StatePublished - Oct 1 2020

Keywords

  • Artificial Intelligence
  • Educational Technology
  • Reading Strategies
  • Tutoring System

ASJC Scopus subject areas

  • Education
  • Linguistics and Language
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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