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Adaptive Learning Platform for Nuerodiverse Students
Subject area: Science,Engineering and Technology · Area of research: Learning Platform
Abstract
Neurodiverse students?including those with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), dyslexia, and other cognitive differences?often face barriers in conventional learning environments that are not designed to accommodate diverse cognitive and sensory needs. This research presents the design and development of an adaptive learning platform specifically tailored to support neurodiverse learners. The platform leverages artificial intelligence (AI) and Universal Design for Learning (UDL) principles to personalize instruction based on individual cognitive profiles, learning preferences, processing styles, and engagement levelsKey features include multimodal content delivery (visual, auditory, textual, and interactive formats), adaptive pacing, real-time feedback, and customizable user interfaces to address sensory sensitivities and processing differences. In addition, the platform integrates assistive technologies such as text?to?speech, speech?to?text, and executive function supports, including task segmentation, reminders, and progress tracking tools. An analytics dashboard provides educators and caregivers with actionable insights into student performance and areas requiring intervention.
Keywords
Adaptive learning, neurodiversity, Universal Design for Learning (UDL), assistive technologies, learner engagement
References
[1] 🔹 1. Armstrong, T. (2012):
[2] Title: Neurodiversity in the Classroom: Strength-Based Strategies to Help Students with Special Needs Succeed in School and Life Description:
[3] Advocates for recognizing the strengths of neurodiverse students rather than focusing solely on their challenges. Promotes a shift from deficit-based to strength-based education.
[4] Limitation:
[5] Conceptual in nature; lacks empirical data or implementation models for adaptive learning systems.
[6] 🔹 2. Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015):
[7] Title: Continued Progress: Promising Evidence on Personalized Learning – RAND Corporation
[8] Description:
[9] Evaluates multiple personalized learning models across U.S. schools and finds improved academic performance, particularly in math.
[10] Limitation:
[11] Focuses on general education populations; does not address the specific needs of neurodiverse learners such as sensory sensitivity or executive function deficits.
[12] 🔹 3. CAST (2018):
[13] Title: Universal Design for Learning Guidelines Version 2.2
[14] Description:
[15] Provides a comprehensive framework for designing inclusive educational environments through multiple means of engagement, representation, and expression.
[16] Limitation:
[17] While UDL offers guidance, it is a framework rather than a technological implementation—requires external systems (e.g., platforms) for practical application.
[18] 🔹 4. Rose, D. H., & Meyer, A. (2002):
[19] Title: Teaching Every Student in the Digital Age: Universal Design for Learning
[20] Description:
[21] Foundational book introducing UDL and its role in addressing learner variability through digital media.
[22] Limitation:
[23] Outdated with respect to modern AI and adaptive technologies; doesn't integrate recent advancements like machine learning–based personalization.
[24] 🔹 5. Al-Azawei, A., Serenelli, F., & Lundqvist, K. (2016):
[25] Title: Universal Design for Learning (UDL): A Content Analysis of Peer-Reviewed Journal Papers (2012–2015)
[26] Description:
[27] A meta-analysis that confirms the effectiveness of UDL across diverse learners, including those with learning disabilities.
[28] Limitation:
[29] Broad focus; lacks emphasis on real-time adaptivity or AI-driven systems that adjust content based on performance.
How to cite this paper
@article{1711339,
author = {Soughra Farheen, Sakhiya Kouser},
title = {Adaptive Learning Platform for Nuerodiverse Students},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {4},
pages = {945-950},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711339.pdf},
abstract = {Neurodiverse students?including those with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), dyslexia, and other cognitive differences?often face barriers in conventional learning environments that are not designed to accommodate diverse cognitive and sensory needs. This research presents the design and development of an adaptive learning platform specifically tailored to support neurodiverse learners. The platform leverages artificial intelligence (AI) and Universal Design for Learning (UDL) principles to personalize instruction based on individual cognitive profiles, learning preferences, processing styles, and engagement levelsKey features include multimodal content delivery (visual, auditory, textual, and interactive formats), adaptive pacing, real-time feedback, and customizable user interfaces to address sensory sensitivities and processing differences. In addition, the platform integrates assistive technologies such as text?to?speech, speech?to?text, and executive function supports, including task segmentation, reminders, and progress tracking tools. An analytics dashboard provides educators and caregivers with actionable insights into student performance and areas requiring intervention.},
keywords = {Adaptive learning, neurodiversity, Universal Design for Learning (UDL), assistive technologies, learner engagement},
month = {October},
}