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Work item:
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Y.IoTSpEd_req
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Subject/title:
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Requirements on AI-enabled personalised learning support systems for persons with disabilities in IoT-integrated digital learning environments
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2028-Q2 (Medium priority)
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Liaison:
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ITU-T Q1/21, JCA-AHF, IRG-AVA, ISO/IEC JTC1 SC35, SC36, ASTAP EG AU
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Supporting members:
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Korea (Republic of), ETRI, Daejeon University, China Unicom, UAB
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Summary:
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Personalized learning support for persons with disabilities cannot rely solely on alternative information formats or isolated assistive solutions. While accessibility standards ensure equivalent presentation of content, research shows that differences in language development, working memory, executive function, spatial processing, and sensory reliance significantly affect how persons with disabilities understand and retain educational content. These differences mean that simply converting materials into alternative formats is insufficient to ensure equitable learning outcomes. Therefore, AI-enabled personalised learning systems that reflect disability-specific information processing characteristics are required. This draft Recommendation will define service-level technical requirements for learner profiling, adaptive learning, and interoperable data frameworks to support inclusive, human-centric digital education.
This draft Recommendation does not aim to regulate pedagogical theories, instructional models, or curriculum design methodologies. Decisions regarding teaching strategies, content organization, assessment methods, and educational philosophy remain within the domain of national education policies, institutional practices, and professional expertise. Rather, the purpose of this draft Recommendation is to establish the technical foundation to ensure diverse pedagogical approaches can be effectively implemented in digital learning environments.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2026-05-27 13:57:55
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Last update:
2026-07-16 16:37:26
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