Article

Profiling learners with special needs for custom e-learning experiences, a closed case?

Authors:

Paola Salomoni,

Stefano Ferretti,

Marco RoccettiAuthors Info & Claims

W4A '07: Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A)

Pages 84 - 92

https://doi.org/10.1145/1243441.1243462

Published: 07 May 2007 Publication History

Abstract

Contrary to what commonly thought, profiling users and devices is still a complex issue, especially in the case of learners with special needs, who deserve a customized access to e-learning platforms. A plethora of languages, protocols and tools have been proposed which can be exploited to create users' and devices' profiles, separately. Unfortunately, none of them is really effective in capturing the fundamentals of a learner profile, when used in isolation. Here we discuss a practical approach we devised to profile e-learners, which is able to meet the variety of requirements providing educational experiences. Our approach is based on the idea to put together the strengths of ACCLIP and CC/PP protocols, while avoiding specification conflicts. A few examples are provided which show the efficacy of the approach.

References

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Digital Library

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Yu RLee SXie JBillah SCarroll J(2024)Human–AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM EraFuture Internet10.3390/fi1607025416:7(254)Online publication date: 18-Jul-2024
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Imashev AOralbayeva NSandygulova A(2024)An exploratory user study towards developing a unified, comprehensive assessment apparatus for deaf signers, specifically tailored for signing avatars evaluation: challenges, findings, and recommendationsMultimedia Tools and Applications10.1007/s11042-024-20365-xOnline publication date: 29-Oct-2024
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Index Terms

Profiling learners with special needs for custom e-learning experiences, a closed case?
1. Applied computing
  1. Education
2. Social and professional topics

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Published In

cover image ACM Conferences

W4A '07: Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A)

May 2007

179 pages

ISBN:1595935908

DOI:10.1145/1243441

Conference Chairs:
Simon Harper
University of Manchester, UK
,
Yeliz Yesilada
University of Manchester, UK

Copyright © 2007 ACM.

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]

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
HA&AC: IBM Human Ability and Accessibility Center
Zakon Group
SIGACCESS: ACM Special Interest Group on Accessible Computing
Mozilla Foundation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2007

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W4A '07 Paper Acceptance Rate 11 of 27 submissions, 41%;

Overall Acceptance Rate 171 of 371 submissions, 46%

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https://doi.org/10.3934/mbe.2024165
Yu RLee SXie JBillah SCarroll J(2024)Human–AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM EraFuture Internet10.3390/fi1607025416:7(254)Online publication date: 18-Jul-2024
https://doi.org/10.3390/fi16070254
Imashev AOralbayeva NSandygulova A(2024)An exploratory user study towards developing a unified, comprehensive assessment apparatus for deaf signers, specifically tailored for signing avatars evaluation: challenges, findings, and recommendationsMultimedia Tools and Applications10.1007/s11042-024-20365-xOnline publication date: 29-Oct-2024
https://doi.org/10.1007/s11042-024-20365-x
Roccetti MTenace MCappiello G(2024)Prescient Perspectives on Football Tactics: A Case with Liverpool FC, Corners and AISocial Networks Analysis and Mining10.1007/978-3-031-78554-2_15(231-239)Online publication date: 2-Sep-2024
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González-Sordé MPujadas-Farreras M(2024)Examining the Accessibility of Online Educational Content: A Case Study of Second-Language Learning VideosTransforming Media Accessibility in Europe10.1007/978-3-031-60049-4_14(247-264)Online publication date: 20-Aug-2024
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Ma YZhang LWu M(2022)Research on the Influence of Virtual Reality on the Learning Effect of Technical Skills of Science and Engineering College StudentsInternational Journal of Digital Multimedia Broadcasting10.1155/2022/62023702022Online publication date: 1-Jan-2022
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Mirri SRoccetti MDelnevo G(2021)The New York City COVID-19 Spread in the 2020 Spring: A Study on the Potential Role of Particulate Using Time Series Analysis and Machine LearningApplied Sciences10.3390/app1103117711:3(1177)Online publication date: 27-Jan-2021
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Roccetti MDelnevo GCasini LMirri S(2021)An alternative approach to dimension reduction for pareto distributed data: a case studyJournal of Big Data10.1186/s40537-021-00428-88:1Online publication date: 25-Feb-2021
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Sanchez-Gordon SAguilar-Mayanquer CCalle-Jimenez T(2021)Model for Profiling Users With Disabilities on e-Learning PlatformsIEEE Access10.1109/ACCESS.2021.30810619(74258-74274)Online publication date: 2021
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Roccetti MDelnevo G(2021)Modeling CoVid-19 Diffusion with Intelligent Computational Techniques is not Working. What Are We Doing Wrong?Human Interaction, Emerging Technologies and Future Applications IV10.1007/978-3-030-74009-2_61(479-484)Online publication date: 16-Apr-2021
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