The main manifestations of college students'academic burnout include physical exhaustion and mental fatigue,loss of learning motivation and decline in interest,behavioral slackening and avoidance,negative emotions and interpersonal tension,cognitive bias and reduced self-efficacy,academic failure and self-denial,etc.The factors inducing college students'academic burnout are deeply analyzed and summarized into individual psychological factors,external environmental factors,educational evaluation factors,and socio-cultural factors.Big data technology plays an important role in intervening in college students'academic burnout,which can be used for precise identification of academic burnout,dynamic monitoring of academic changes,personalized intervention strategy formulation,multi-party participation and collaborative intervention,as well as effect evaluation and feedback adjustment.
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