Wearable Technology Applications in Education
Summary
Over the past decade, wearable technologies have moved from novelty items to integral tools in both formal and informal learning environments. These devices range from wrist-worn fitness trackers and smartwatches, through head-mounted displays offering augmented and virtual reality experiences, to e-textiles embedded with sensors for hands-on STEAM projects. In classroom contexts, wearables can monitor physiological indicators such as heart rate variability and electrodermal activity to gauge student stress, engagement and cognitive load in real time. Motion sensors capture fine- and gross-motor movements to support skills training in disciplines from dance to sports science, while eye-tracking glasses reveal visual attention patterns. Combined with learning analytics platforms, these data streams permit adaptive content delivery and personalised feedback, enabling educators to intervene precisely when a learner struggles. Beyond individualised instruction, wearable devices foster collaborative and experiential learning through gamified challenges and maker-centred projects. At the same time, issues of data privacy, equitable access and professional development for educators remain critical to large-scale adoption. When thoughtfully integrated into pedagogy, however, wearable technologies promise to shift education from uniform curricula towards dynamic, learner-centred models that respond to both cognitive and environmental factors on a global scale.
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Wearable Technology Applications in Education publication trend
The graph below shows the total number of articles in wearable technology applications in education across all publications each year (not limited to Nature Index journals).
Technical terms
Wearable biosensor: A device worn on the body that captures and transmits physiological signals (for example, heart rate or brain activity) to inform learning analytics.
Electrodermal activity (EDA): Variation in the electrical conductance of the skin, used as an indicator of sympathetic nervous system arousal and stress.
Learning analytics: The collection and analysis of data on learners’ interactions and performance, intended to optimise educational processes and personalise feedback.
E-textiles: Fabrics integrated with electronic components such as sensors or actuators to support interactive and maker-based learning activities.
References
- E-textiles para la educación STEAM en educación primaria: una revisión sistemática. RIED Revista Iberoamericana de Educación a Distancia (2023).
- Wearable Biosensor Technology in Education: A Systematic Review. Sensors (2024).
- Application of DIY Electrodermal Activity Wristband in Detecting Stress and Affective Responses of Students. Bioengineering (2024).
- Wearable Sensors for Learning Enhancement in Higher Education. Sensors (2022).
- Research on wearable technologies for learning: a systematic review. Frontiers in Education (2023).
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