A SYSTEMATIC REVIEW ON ARTIFICIAL INTELLIGENCE-BASED ACADEMIC AND PSYCHOSOCIAL INTERVENTIONS FOR STUDENTS WITH ATTENTION-DEFICIT/HYPERACTIVITY DISORDER
Attention-Deficit/Hyperactivity Disorder (ADHD) presents persistent academic and psychosocial challenges across the lifespan. This systematic literature review examines the emerging role of Artificial Intelligence (AI) as a potential supportive tool in addressing these difficulties. Following PRISMA guidelines, nine empirical studies published between 2020 and 2025 were synthesized to evaluate the effectiveness of AI-based interventions. Results indicate that academic interventions, such as electroencephalogram (EEG)-based game frameworks and socially assistive robots, may enhance concentration, task management, and academic performance across primary, secondary, and higher education. Psychosocially, AI-driven tools like digital journaling and mood trackers show promise in promoting emotional regulation and improving quality of life. The synthesis reveals that AI acts as a dynamic cognitive and emotional scaffold, facilitating real-time personalization and non-judgmental feedback. This systematic literature review concludes that AI-based interventions can function as a valuable support framework in specialized education, providing students with ADHD the personalized and adaptive support necessary to achieve their full academic potential and psychosocial resilience.
Authors
- Thanos Touloupis (ORCID: https://orcid.org/0000-0003-2951-6919)
- Stergiani Giaouri (ORCID: https://orcid.org/0000-0002-2280-9172)
- Anastasia Alevriadou (ORCID: https://orcid.org/0000-0001-7022-5537)
- Dimitrios Chasapis
- Ilias Tsolakidis
Institutions
- University of Macedonia (GR)
- Aristotle University of Thessaloniki (GR)
- University of Western Macedonia (GR)
- University of the Aegean (GR)
Publication Details
- Journal
- International Online Journal of Primary Education
- Published
- 2026-06-30
- DOI
- https://doi.org/10.55020/iojpe.1936264
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 0.00