Physiological signals from wearable sensors can be engineered to predict exam scores, offering potential applications in education for stress management.
May inform stress monitoring in education but should not yet change practice; leaves open cardiovascular outcome links.
The findings of this study suggest practical applications in the field of education, where the use of physiological signals can help students cope with exam stress and improve their academic performance. The importance of feature selection and the use of appropriate models highlight the importance of engineering relevant features for precise and reliable predictions.
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Abromavičius et al. (2023) studied this question.
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