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The rise of wearable technologies has transformed how we monitor and support student mental health. This chapter explores the exciting potential of Artificial Intelligence (AI) and Machine Learning (ML) to further enhance wearables for mental health monitoring in educational settings. By integrating AI and ML, wearable devices can evolve from simple data collectors to intelligent assistants that provide personalized mental health support, improve student well-being, and empower educators. We will delve into the core concepts of AI and ML, their role in wearable technology, and how they can be harnessed to create a more supportive and effective learning environment. This chapter will explore specific applications of AI-powered wearables in mental health monitoring, analyze the benefits for both students and educators, and address potential challenges and considerations for responsible implementation.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.