RIACT: a responsible AI system for personalized study habit tracking and early burnout signal detection in university students
Read the original at arxiv.org→arXiv:2608.21379v1 Announce Type: new Abstract: Student burnout is highly prevalent in higher education, with reported rates ranging from 12% to over 70% and consistently exceeding those of the working population -...
Original headline: "RIACT: A Responsible AI System for Personalized Study Habit Tracking and Early Burnout Signal Detection in University Students"
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- Aug 25, 04:00 UTC arXiv cs.AI lead source RIACT: A Responsible AI System for Personalized Study Habit Tracking and Early Burnout Signal Detection in University Students