An afternoon-long faculty exchange on multimodal learning analytics — HRV, wearables, AI, and the data infrastructure that lets us measure learning in real classrooms.
Individual-level physiological sensing is a solved problem. The open question: how do we scale it to classrooms, campuses, cohorts — and combine it with AI to produce insights teachers can actually use?
邀請全台各大專院校教師齊聚一堂,分享穿戴裝置與 AI 教育研究成果
展示 Garmin 穿戴裝置在健康科學與教育研究中的數據整合應用
分享 Uedu 平台整合 HRV 生理數據於真實教室場景的學習分析研究
A summary of the programme — participants, sessions, speakers, and associated publications.
Researchers from Garmin Health Asia and NCU Uedu team. Expect live data, not slides.
NCU’s research-grade iPad app. Streams physiological signals from Garmin wearables to the iPad in real time — ready for in-class experiments and longitudinal study designs.
Heart rate, HRV and related metrics from Garmin wearables — in real time during class.
Signals flow from watch to iPad during class — no cloud round-trip.
IRB-covered consent flow, de-identification, ethical data workflow — built-in.
Sport, cognition, affect, learning analytics, clinical trials — same app.
查看完整活動頁面,包含工作坊器材說明、研究倫理框架(IRB A/B/C 分類)、
本團隊 4 篇同儕審查論文、國際相關文獻,以及交通與地圖導引。
Uedu’s research is covered by an umbrella IRB approved by National Taiwan University REC (No. 202507EM058). Faculty using UeduPAD under our SOPs can treat the resulting data as IRB-covered research.
By invitation. Limited to 100 participants. Registration takes under two minutes.