AI-Supported Mindfulness Interventions
Advances in Computational Intelligence and Robotics March 26, 2026 DOI: 10.4018/979-8-3373-4222-1.ch006 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Review Peer reviewed |
|---|---|
| Topics | Meditation |
| Key findings | Argues that AI-enhanced mindfulness interventions hold significant promise for reducing stress and improving well-being among students in digital learning environments, and that traditional mindfulness programs do not fully address the new stressors created by educational technology. The review synthesizes 2020-2025 research on these approaches and highlights ethical, practical, and equity considerations for implementation. |
Abstract
This chapter provides an in-depth review of AI-enhanced mindfulness interventions designed to alleviate student stress within digital learning environments. As educational institutions increasingly integrate technology into instruction and student support systems, learners encounter new and complex stressors, not fully addressed by traditional mindfulness programs. The review synthesizes research published between 2020 and 2025 on digital and AI-driven mindfulness approaches, analyzing their theoretical foundations, typological frameworks, implementation strategies, methodological issues, and design principles. It highlights ethical, practical, and equity considerations that shape implementation in educational contexts. Findings indicate that AI-supported mindfulness interventions hold significant promise for enhancing student well-being and reducing stress.