research-article

Conceptual Motivation Modeling for Students with Dyslexia for Enhanced Assistive Learning

Authors:

Trenton Schulz,

Aladdin AyeshAuthors Info & Claims

SmartLearn '17: Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning

Pages 11 - 18

https://doi.org/10.1145/3038535.3038542

Published: 13 March 2017 Publication History

Abstract

Students with dyslexia often suffer from the lack of academic self-worth and frustration that can even lead to learned helplessness. However, few studies have investigated the impact of incorporating users' motivational factors into user modeling to enhance the learning experience for students with dyslexia. In this paper we attempt to develop a conceptual motivation model for people with dyslexia in their use of assistive learning tools. To this end, we carry out a small-scale empirical study in real-world learning scenarios. Then we conduct individual interviews to gain first-hand data about the key factors and features affecting learning experience. Using coding and thematic analysis methods we discuss main themes regarding motivational factors and their interrelationships identified. Based on these findings, we create a conceptual motivation model tailored towards students with dyslexia, which will help enhance learning experience and improve learning efficiency.

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Cited By

Alanazi FAbdulkader W(2024)Enhancing reading and writing skills of students with learning disabilities through assistive technology: A literature review (2013-2023)International Journal of ADVANCED AND APPLIED SCIENCES10.21833/ijaas.2024.01.01311:1(109-114)Online publication date: Jan-2024
https://doi.org/10.21833/ijaas.2024.01.013
Dutt SAhuja N(2024)“Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners”Disability and Rehabilitation: Assistive Technology10.1080/17483107.2024.235768520:1(135-149)Online publication date: 29-May-2024
https://doi.org/10.1080/17483107.2024.2357685
Banerjee JChakraborty DChakraborty BBasu A(2024)Application of machine learning algorithm on migration error for the identification of selective letter position impairment in childrenMultimedia Tools and Applications10.1007/s11042-023-17910-583:21(60027-60077)Online publication date: 3-Jan-2024
https://doi.org/10.1007/s11042-023-17910-5
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Index Terms

Conceptual Motivation Modeling for Students with Dyslexia for Enhanced Assistive Learning
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

SmartLearn '17: Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning

March 2017

50 pages

ISBN:9781450349048

DOI:10.1145/3038535

Conference Chairs:
Ilknur Celik
Middle East Technical University, Northern Cyprus Campus
,
Ilaria Torre
University of Genoa, Italy

Copyright © 2017 ACM.

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Published: 13 March 2017

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Cited By

Alanazi FAbdulkader W(2024)Enhancing reading and writing skills of students with learning disabilities through assistive technology: A literature review (2013-2023)International Journal of ADVANCED AND APPLIED SCIENCES10.21833/ijaas.2024.01.01311:1(109-114)Online publication date: Jan-2024
https://doi.org/10.21833/ijaas.2024.01.013
Dutt SAhuja N(2024)“Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners”Disability and Rehabilitation: Assistive Technology10.1080/17483107.2024.235768520:1(135-149)Online publication date: 29-May-2024
https://doi.org/10.1080/17483107.2024.2357685
Banerjee JChakraborty DChakraborty BBasu A(2024)Application of machine learning algorithm on migration error for the identification of selective letter position impairment in childrenMultimedia Tools and Applications10.1007/s11042-023-17910-583:21(60027-60077)Online publication date: 3-Jan-2024
https://doi.org/10.1007/s11042-023-17910-5
Krishnan GRao DSandur AJandhyala AAgarwal P(2024)A Comprehensive Review of Instructional Tools and Applications for Dyslexic LearnersArtificial Intelligence and Speech Technology10.1007/978-3-031-75164-6_18(238-249)Online publication date: 24-Nov-2024
https://doi.org/10.1007/978-3-031-75164-6_18
Shyamala Devi MAruna RKiran MPuneeth KReddy T(2023)Component Probabilistic Oversampling-Based Classification for Prediction of DyslexiaProceedings of the International Conference on Cognitive and Intelligent Computing10.1007/978-981-19-2358-6_38(407-420)Online publication date: 1-Jan-2023
https://doi.org/10.1007/978-981-19-2358-6_38
Wang RHook A(2023)Advancing Inclusive E-learning: Relationship Between Motivational Factors and Dyslexic CharacteristicsDesign for Equality and Justice10.1007/978-3-031-61698-3_29(283-287)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1007/978-3-031-61698-3_29
Wang RChen LAyesh A(2022)Multimodal motivation modelling and computing towards motivationally intelligent E-learning systemsCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-022-00107-45:1(64-81)Online publication date: 30-May-2022
https://doi.org/10.1007/s42486-022-00107-4
Zingoni ATaborri JPanetti VBonechi SAparicio-Martínez PPinzi SCalabrò G(2021)Investigating Issues and Needs of Dyslexic Students at University: Proof of Concept of an Artificial Intelligence and Virtual Reality-Based Supporting Platform and Preliminary ResultsApplied Sciences10.3390/app1110462411:10(4624)Online publication date: 19-May-2021
https://doi.org/10.3390/app11104624
GARCIA APowell GArnold DIbarra LPietrucha MThorson MVerhelle AWade NWebb S(2021)Learned helplessness and mental health issues related to distance learning due to COVID-19Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451526(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451526
Wang RChen LSolheim I(2020)Modeling Dyslexic Students’ Motivation for Enhanced Learning in E-learning SystemsACM Transactions on Interactive Intelligent Systems10.1145/334119710:3(1-34)Online publication date: 9-Nov-2020
https://dl.acm.org/doi/10.1145/3341197
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