Exploring the Efficacy of an IoT Device as a Sensory Feedback Tool in Facilitating Learning for Neurodivergent Students

Aoibheann Sims, Zain Ali, Kevin Meehan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Neurodiversity is a term associated with individuals who have conditions such as Autism, ADHD, Dyspraxia, among others. The potential of the Internet of Things to significantly impact people's lives is well-established, and its implementation in the education sector could play a vital role in accommodating the needs of neurodiverse students. This paper proposes the development and implementation of an IoT device to be used in an educational setting, with sensors to monitor the environmental conditions within the room and provide feedback to students. The project aims to address the current gap in available technologies, catering to the specific needs of neurodivergent individuals and promoting greater inclusivity in tertiary education. Specifically, the focus is on students with sensory issues who may benefit from extra information to choose a learning environment conducive to their needs. The ultimate goal is to provide accommodations for all university students, enabling them to have a learning environment that optimizes focus, retention, and attentiveness, thereby increasing academic retention and success. The proposed IoT device collects real-time sensor data and transmits it to a mobile application, where the sensory information is presented to the student in a user-friendly format. This project has the potential to be an assistive device for educational and work environments, given more time and investment. The results show that although there were some latency issues, sensory metrics were communicated successfully to the mobile application. The study highlights the importance of considering the needs of neurodiverse students in creating inclusive learning environments and demonstrates the potential of IoT technology to support this goal.

Original languageEnglish
Title of host publication2023 IEEE World AI IoT Congress, AIIoT 2023
EditorsSatyajit Chakrabarti, Rajashree Paul
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages755-761
Number of pages7
ISBN (Electronic)9798350337617
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 IEEE World AI IoT Congress, AIIoT 2023 - Virtual, Online, United States
Duration: 7 Jun 202310 Jun 2023

Publication series

Name2023 IEEE World AI IoT Congress, AIIoT 2023

Conference

Conference2023 IEEE World AI IoT Congress, AIIoT 2023
Country/TerritoryUnited States
CityVirtual, Online
Period7/06/2310/06/23

Keywords

  • Edge Computing
  • Inclusive learning
  • IoT
  • Neurodiversity
  • Sensors

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