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 language | English (US) |
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Title of host publication | Intelligent Tutoring Systems - 18th International Conference, ITS 2022, Proceedings |
Editors | Scott Crossley, Elvira Popescu |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 371-379 |
Number of pages | 9 |
ISBN (Print) | 9783031096792 |
DOIs | |
State | Published - 2022 |
Event | 18th International Conference on Intelligent Tutoring Systems, ITS 2022 - Virtual, Online Duration: Jun 29 2022 → Jul 1 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13284 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 18th International Conference on Intelligent Tutoring Systems, ITS 2022 |
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City | Virtual, Online |
Period | 6/29/22 → 7/1/22 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- ASR
- ITS
- Reading strategies