EventsThe 5th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 5th International Electronic Conference on Applied Sciences
Published date
02 Dec, 2024
Academic Editor
author-avatarEugenio Vocaturo
Citation
Raja Hashim Ali, Rafay Mustafa, Abdullah Habib, Customized Learning for ADHD: An AI-Driven Assistive Study App, in Proceedings of The 5th International Electronic Conference on Applied Sciences, 4 December–6 December 2024, MDPI: Basel, Switzerland
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Customized Learning for ADHD: An AI-Driven Assistive Study App

Rafay Mustafa 1
Abdullah Habib 2
1. Bachelors of Artificial Intelligence, Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, 23460 Topi, Khyber Pakhtoonkha, Pakistan., Pakistan
2. Bachelors of Artificial Intelligence, Faculty of Computer Science and Engineering, GIK Institute of Engineering Sciences and Technology, 23460 Topi, Pakistan., Pakistan
3. Department of Business, University of Europe for Applied Sciences, Think Campus, 14469 Potsdam, Germany., Pakistan
4. Artificial Intelligence Research (AIR) Group, , Department of Artificial Intelligence, Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, 23460 Topi, Khyber Pakhtoonkha, Pakistan.
Abstract

In this paper, we discuss and address the significant educational disparity and academic challenges encountered by students diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). Traditional learning environments often fail to accommodate the unique cognitive needs and attention deficits of these students, leading to difficulties in focusing, retaining information, and managing study schedules effectively. Consequently, lower academic performance, increased stress levels, and diminished self-esteem are common consequences.

The goal of this study is to provide a solution that caters to the diverse learning needs of students with Attention Deficit Hyperactivity Disorder. Our project introduces an innovative educational app specifically designed for this demographic. The app utilizes a personalized learning system that adapts to individual preferences, integrating Artificial Intelligence to provide intelligent responses. Key features include screen-time monitoring, daily schedule management, group study jams, and study reminders. Moreover, this solution emphasizes affordability and accessibility, particularly targeting students with limited resources. By addressing the key challenges faced by students with Attention Deficit Hyperactivity Disorder in traditional learning environments, our educational app aims to empower them with the tools necessary to thrive academically and mitigate the negative consequences associated with their condition. We propose a novel way to address Attention Deficit Hyperactivity Disorder by using a smart Artificial Intelligence-based application.

Keywords
Attention-Deficit Hyperactivity Disorder (ADHD)
Educational disparity
Personalized learning
Artificial Intelligence
Study management
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