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The Design of New Digital Resources of Personalized Support of Reading Skills for Novice Readers and Children with Dyslexia: A Presentation of the iRead Software Linguistic Domain Models: New Digital Resources of Personalized Reading Support

Published: 09 June 2021 Publication History

Abstract

The aim of the current paper is to present and discuss the development, structure, content, and use of a flexible, scalable and cost-effective cloud-based software system used in the iRead project.The iRead Project (Infrastructure and Integrated Tools for Personalized Learning of Reading Skills) aimed to offer personalized learning services to novice readers and students with reading difficulties or dyslexia by developing an integrated supportive tool for tablets, the iRead software, which includes a set of educational applications, like mini-games, an e-reader and a text classifier. iRead is built and operates around a comprehensive knowledge base, which includes a structured and detailed model of linguistic content that is essential to reading development, the domain model. iRead Domain models are essential for the operation of all iRead apps and were designed to provide personalized learning support to students with dyslexia by enabling each app to select linguistic content based on the particular learning needs of each student. The sophisticated and thorough structure and linguistic content of the iRead domain models, along with the ability of iRead to adapt to students’ needs, constitute unique features that render iRead innovative.

References

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Pamela M. Cole, Patricia Z. Tan, Sarah E. Hall, Yiyun Zhang, Keith A. Crnic, Clancy B. Blair, and Runze Li. 2011. Developmental changes in anger expression and attention focus: Learning to wait. Developmental Psychology 47, 4 (July 2011), 1078–1089.
[2]
Philip B. Gough and William E. Tunmer. 1986. Decoding, Reading, and Reading Disability. Remedial and Special Education 7, 1 (January 1986), 6–10.
[3]
Michaela Nerantzini, Maria Mastropavlou, Theophano Christou, Marika Lekakou and Victoria Zakopoulou (under review). Processing voice morphology and argument structure during sentence comprehension by Greek children with dyslexia and beginning readers.
[4]
Dimitrios Voulgaris. 2011. Ικανότητɛς ϕωνολογικής ɛπɛξɛργασίας [Phonological Processing Capacities]. Retrieved October 2, 2017 from http://repository.edulll.gr/edulll/retrieve/3612/1058.pdf.

Cited By

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  • (2024)Educational Strategies and Tools Based on AI: A Systematic Mapping for the Personalization of LearningAdvances in Computing10.1007/978-3-031-75236-0_8(91-105)Online publication date: 22-Dec-2024
  • (2022)An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading AcquisitionAlsic10.4000/alsic.6097Online publication date: 3-Aug-2022

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cover image ACM Other conferences
DSAI '20: Proceedings of the 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
December 2020
245 pages
ISBN:9781450389372
DOI:10.1145/3439231
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2021

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Author Tags

  1. Digital Resources
  2. Domain Model
  3. Dyslexia
  4. Language Categories
  5. Personalized learning
  6. Reading Development

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  • Research-article
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  • Refereed limited

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DSAI 2020

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Overall Acceptance Rate 17 of 23 submissions, 74%

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Cited By

View all
  • (2024)Educational Strategies and Tools Based on AI: A Systematic Mapping for the Personalization of LearningAdvances in Computing10.1007/978-3-031-75236-0_8(91-105)Online publication date: 22-Dec-2024
  • (2022)An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading AcquisitionAlsic10.4000/alsic.6097Online publication date: 3-Aug-2022

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