Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Platform Epoch: AI-Powered Learning for Neurodiverse Students

Authors
Shreenagamanjula Rani1, *, S. Sreejith2, Aarambh Jaiswal1, Amogh S. Kumar1, T. Sai Sree Charan2, Vibha Joshi2
1Department of Computer Science and Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India
2Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bengaluru, Karnataka, India
*Corresponding author. Email: shreenagamanjular.nhce@newhorizonindia.edu
Corresponding Author
Shreenagamanjula Rani
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_76How to use a DOI?
Keywords
Applied Behavioral Analysis; Attention Deficiency/Hyper-active Disorder; Autism Spectrum Disorder; ASD; ADHD; Learning Analytics; Identity Management System; Virtual Reality; Artificial Intelligence; Machine Learning; Deep Learning
Abstract

Effective, granular and targeted education methodologies play a significant role in the neurological development of children irrespective of their neurological deficits. When observed, it is seen that a certain demographic of students will be less invested in free courses, even when they get enrolled in it, this is because these education models are least incentivized, in turn resulting in low student retention rates, this becomes even low for the students with neurological deficits like Attention Deficiency/Hyper-active Disorder (ADHD) and Autism Spectrum Disorder (ASD). This work explores the opportunities to improve the student retention rates for students irrespective of the neurological deficits by utilizing the potential of Applied Behavioral Analysis (ABA), Learning Analytics, Open-Source tools for Identity Management system, Artificial Intelligence, Machine Learning and Deep Learning methodologies. It also explores the opportunities to aid with the improvements that help children with ADHD and ASD.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_76How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shreenagamanjula Rani
AU  - S. Sreejith
AU  - Aarambh Jaiswal
AU  - Amogh S. Kumar
AU  - T. Sai Sree Charan
AU  - Vibha Joshi
PY  - 2025
DA  - 2025/05/23
TI  - Platform Epoch: AI-Powered Learning for Neurodiverse Students
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 897
EP  - 906
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_76
DO  - 10.2991/978-94-6463-718-2_76
ID  - Rani2025
ER  -