SynthesisSensors (Basel, Switzerland)2025
Advances in Wearable Sensors for Learning Analytics: Trends, Challenges, and Prospects.
Synthesis in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Development Boards and Microcontroller Platforms in Sports and Physical Activity: A Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- Artificial Intelligence for the Analysis of Biometric Data from Wearables in Education: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Smart Objects for Clinical Rehabilitation and Education: A Scoping Review of Design, Sensing, and Validation.Sensors (Basel, Switzerland) · 2026Article
- Intelligent chemical sensors: learning-enabled platforms for adaptive chemical detection.RSC advances · 2026Review
- Wearable Technology and Sensors for Healthcare and Wellbeing.Sensors (Basel, Switzerland) · 2026Article
- ICT training with wearable devices to enhance emotional communication and musicality in vocal education.Scientific reports · 2026Article
- Past, present, and future of virtual reality-based biological science education (2010-2025): a BERTopic-driven analysis.BMC medical education · 2026Article
- Gamified Physical Education and Cognitive Performance Among Chinese Secondary School Students: Cross-Sectional Moderation Mediation Study.JMIR serious games · 2026Article
- Convergent Sensing: Integrating Biometric and Environmental Monitoring in Next-Generation Wearables.Biosensors · 2026Review
- Emotion recognition based on the temporal patterns of electroencephalogram signals and electrodermal response signals using the TRANSFORMER network.Frontiers in neuroscience · 2026Article
- Emotion recognition from multimodal biosignals: supervised and unsupervised machine learning approaches based on EEG and GSR.Frontiers in psychology · 2026Article
- Physiological sensing systems and AI-based signal analysis in immersive virtual reality learning and training: A scoping review.PloS one · 2026Article
- Student acceptance and evolving teacher roles in mixed reality dance education.Scientific reports · 2025Article
- Scientific rationale and practical realities of the 140-160 bpm national standard in Chinese school physical education for primary and middle school students.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable sensor technology is increasingly being integrated into educational settings, offering innovative approaches to enhance teaching and learning experiences. These devices track various physiological and environmental variables, providing valuable insights into student engagement, comprehension, and educational environments. However, the extensive and continuous data streams generated by these sensors create significant challenges for learning analytics. This paper presents a comprehensive review of research on learning analytics incorporating wearable technology, systematically identifying methods and approaches that address wearable sensor data challenges. We begin with a systematic review of wearable sensor technologies' historical development and the current state of sensor data in learning analytics. We then examine multimodal sensor applications in learning analytics and propose research and application trends aligned with educational development needs. Our analysis identifies three key challenges: ethical considerations, explainable learning analytics, and technological and data management issues. The paper concludes by outlining seven future development directions for wearable sensors in educational contexts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.