A user-centred approach to enhancing engagement and task management for ADHD students using AR and generative AI

This pilot study investigated the potential of integrating Augmented Reality (AR) and Generative Artificial Intelligence (GenAI) to support engagement and task management for university students diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). Using a Design-Based Research (DBR) approach, we evaluated ADHDvance LearnAR across three within-subject conditions (baseline tools, AR-enhanced, and AR+GenAI) with n = 15 undergraduate participants. Quantitative measures showed directional improvements in engagement duration, interaction frequency, and task completion across conditions; however, differences did not reach statistical significance, consistent with the study’s exploratory scale. Qualitative analysis provided explanatory depth, identifying themes related to (i) increased task salience through spatial AR visualisation, (ii) improved task initiation and planning support, and (iii) reduced perceived cognitive load through just-in-time GenAI scaffolding. Findings suggest AR+GenAI may offer promising affordances for inclusive learning design, warranting longitudinal evaluation with larger samples and stronger causal designs.

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Publication Details

Journal
Discover Education
Published
2026-02-19
DOI
https://doi.org/10.1007/s44217-026-01264-9
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00
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article

A user-centred approach to enhancing engagement and task management for ADHD students using AR and generative AI

Kehinde Aruleba, Solomon Sunday Oyelere, Ritul Parmar
Discover Education
Attention Deficit Hyperactivity Disorder
article

A user-centred approach to enhancing engagement and task management for ADHD students using AR and generative AI

Kehinde Aruleba, Solomon Sunday Oyelere, Ritul Parmar
article en

Abstract

This pilot study investigated the potential of integrating Augmented Reality (AR) and Generative Artificial Intelligence (GenAI) to support engagement and task management for university students diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). Using a Design-Based Research (DBR) approach, we evaluated ADHDvance LearnAR across three within-subject conditions (baseline tools, AR-enhanced, and AR+GenAI) with n = 15 undergraduate participants. Quantitative measures showed directional improvements in engagement duration, interaction frequency, and task completion across conditions; however, differences did not reach statistical significance, consistent with the study’s exploratory scale. Qualitative analysis provided explanatory depth, identifying themes related to (i) increased task salience through spatial AR visualisation, (ii) improved task initiation and planning support, and (iii) reduced perceived cognitive load through just-in-time GenAI scaffolding. Findings suggest AR+GenAI may offer promising affordances for inclusive learning design, warranting longitudinal evaluation with larger samples and stronger causal designs.

Discover EducationVol. 5(1)
University of South Africa (ZA), Luleå University of Technology (SE), University of Exeter (GB), University of Johannesburg (ZA)
Quality Education
Openalex Percentile: Top 54%
Attention Deficit Hyperactivity Disorder
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