iSTART-Early: Interactive Strategy Training for Early Readers

Panayiota Kendeou, Ellen Orcutt, Tracy Arner, Tong Li, Renu Balyan, Reese M Butterfuss, Micah Watanabe, Danielle McNamara

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

Abstract

In this paper, we present iSTART-Early, an intelligent tutoring system that provides automated instruction and practice on higher-order reading comprehension strategies to 3rd and 4th grade students. iSTART-Early provides personalized, interactive, game-based strategy instruction and practice on comprehension strategies (i.e., Ask It, Reword It, Find It, Explain It, and Summarize It) with grade-appropriate informational texts. Natural language processing (NLP) combined with automated speech recognition (ASR) and text-to-speech technologies enable immediate formative and summative feedback. A teacher interface allows teachers to assign texts and monitor students’ performance so that they can provide additional support and feedback when necessary, creating blended-learning opportunities. We describe the interface and the development of iSTART-Early, as well as our plans to examine the intelligent tutoring system for usability, feasibility and promise in improving reading comprehension strategies and outcomes for young readers.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 18th International Conference, ITS 2022, Proceedings
EditorsScott Crossley, Elvira Popescu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages371-379
Number of pages9
ISBN (Print)9783031096792
DOIs
StatePublished - 2022
Event18th International Conference on Intelligent Tutoring Systems, ITS 2022 - Virtual, Online
Duration: Jun 29 2022Jul 1 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13284 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Intelligent Tutoring Systems, ITS 2022
CityVirtual, Online
Period6/29/227/1/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • ASR
  • ITS
  • Reading strategies

Fingerprint

Dive into the research topics of 'iSTART-Early: Interactive Strategy Training for Early Readers'. Together they form a unique fingerprint.

Cite this