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 language | English |
|---|---|
| Pages (from-to) | 66-82 |
| Number of pages | 17 |
| Journal | International Journal of Computer-Assisted Language Learning and Teaching |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 1 2020 |
Scopus Subject Areas
- Education
- Linguistics and Language
- Computer Vision and Pattern Recognition
- Computer Science Applications
Keywords
- Artificial Intelligence
- Educational Technology
- Reading Strategies
- Tutoring System
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